Microsoft now has one of the world's fastest supercomputers (and no, it doesn't run on Windows)

liam-tung

More Microsoft

  • The best Windows laptop models: Comparing Dell, Samsung, Lenovo, and more
  • Windows 11's big new update is full of AI and rolling out today - here's what's in it
  • How to upgrade Windows Home edition to Pro
  • 5 Microsoft Edge settings to change for more secure browsing than Chrome offers
  • Here's the best way to upgrade to Windows 11 Pro, and why you should

A Microsoft Azure supercomputer dubbed 'Voyager-EUS2' has made it into the rankings of the world's 10 fastest machines. 

Microsoft's supercomputer, with a benchmark speed of 30 Petaflops per second (Pflop/s) is still well behind China's Tianhe-2A and the US Department of Energy's IBM-based Summit supercomputer, but it's the only major cloud provider with a supercomputer ranked in the top 10 in the high-performance computing (HPC) Top500 list .

Voyager-EUS2 was the only new entrant in the Top500's top 10 list of the world's fastest supercomputers, which was led by Japan's Fugaku with 7.63 million cores and a Linpack benchmark score of 442 Pflop/s. 

'Flops' refers to floating point operations per second, indicating the performance of supercomputers that are often used in science -- to simulate weather patterns, for example -- that often run on  programming languages like Fortran .  

See also:  Windows 11 FAQ: Our upgrade guide and everything else you need to know .

Fugaku's benchmark puts it three times ahead of the US Department of Energy-sponsored Summit supercomputer, which is the US's fastest high-performance computer (HPC) with a Linpack score of 148.8 Pflop/s. It's based on IBM's Power9 CPUs and features 4,356 nodes with 22 cores each backed by six Nvidia Tesla V100 GPUs. 

The fourth running is Sierra, a supercomputer at the University of California's Lawrence Livermore National Laboratory. It's also powered by Power9 CPUs and Nvidia Tesla V100 GPUs, scoring 94.6 Pflop/s.

While ranked 10th, Microsoft's Azure supercomputer is the standout in this ranking of the world's fastest supercomputers as the only new entrant in the top 10 list and is the only public cloud provider to attain this ranking. 

Microsoft's Voyager-EUS2 , which runs from its Azure East US 2 region, is notable for several reasons. First, but not surprisingly, it's running a Linux distribution, namely the Ubuntu 18.04 long term servicing (LTS) edition. It's got 253,440 cores on AMD EPYC CPUs. 

It's not surprising that the Azure supercomputer is running Ubuntu, given Linux already runs  most of the VMs in Microsoft's cloud. Also, Linux distributions run on all the world's biggest supercomputers .   

"Voyager-EUS2, a Microsoft Azure system installed at Microsoft in the U.S., is the only new system in the TOP10," says Top500.org . 

"It achieved 30.05 Pflop/s and is listed at No. 10. This architecture is based on an AMD EPYC processor with 48 cores and 2.45GHz working together with an NVIDIA A100 GPU with 80GB memory and utilizing a Mellanox HDR Infiniband for data transfer." 

See also:  Gartner releases its 2021 emerging tech hype cycle: Here's what's in and headed out .

Microsoft boasted this week that its Azure cloud now has five supercomputers in the Top 500 list. Microsoft is using supercomputers for artificial intelligence (AI)  and selling its Azure HPCs as a service.      

It also announced general availability of the Azure virtual machine (VM) called the "NDm A100 v4 Series", which features Nvidia A100 Tensor Core 80GB GPUs – double the Nvidia A100 Tensor Core GPUs. 

Enterprise Software

Surface vs. macbook: can microsoft's new arm-based ai pcs compete with apple, apple launches 13- and 15-inch macbook air with m3 chip. here's what's new, microsoft confirms next windows, surface, and ai event. here's what to expect.

Microsoft Azure supercomputer pushes its way into the top 10 most powerful systems in the world

Microsoft's Azure has five of the most powerful supercomputers on the TOP500 list.

Microsoft Azure Hero 4

What you need to know

  • A Microsoft Azure system called Voyager-EUS2 is now the tenth most powerful supercomputer in the world.
  • Microsoft Azure has five spots in the TOP500 list of supercomputers.
  • The Voyager-EUS2's architecture is based on an AMD EPYC processor with 48 cores, an NVIDIA A100 GPU, and 80GB of memory.

Microsoft Azure now claims five spots in the TOP500 list of the world's most powerful supercomputers. The Voyager-EUS2 is the only newcomer to the top 10 of that list. That system's architecture is based on an AMD EPYC processor with 48 cores and an NVIDIA A100 GPU. It also features 80GB of RAM and utilizes a Mellanox HDR Infiniband for data transfer.

The Voyager-EUS2 achieved 30.05 Petaflops per second (Pflop/s). That's enough to get the supercomputer into the top 10, but it falls significantly short of the entries at the top of the list. The Fugaku has an HPL benchmark score of 442 Pflop/s. That is three times more than IBM's Summit (148 Pflop/s), the second-place entry of the TOP500.

Microsoft's recent blog post about supercomputing states that Azure has four spots in the TOP500. Browsing through the list shows that there are five supercomputers in the TOP500 that use Azure.

That same post also announces the availability of a new virtual machine series in Azure, the NDm A100 v4 Series, which features NVIDIA A100 Tensor Core 80GB GPUs. That's double the memory seen in the original ND A100 v4 series.

The Voyager-EUS2 runs from the Azure East US 2 region. It runs Ubuntu 18.04, which is a distribution of Linux. Several of the most powerful supercomputers in the world run Linux, including Japan's Fugaku and IBM's Sierra, the third entry on the TOP500.

Get the Windows Central Newsletter

All the latest news, reviews, and guides for Windows and Xbox diehards.

Sean Endicott

Sean Endicott brings nearly a decade of experience covering Microsoft and Windows news to Windows Central. He joined our team in 2017 as an app reviewer and now heads up our day-to-day news coverage. If you have a news tip or an app to review, hit him up at  [email protected] .

  • 2 Ori gives way to souls-like sensibilities — Moon Studio's newest game looks absolutely breath-taking, and it's coming soon
  • 3 Get down to business with these heavily discounted Lenovo ThinkBook and ThinkPad laptops
  • 4 Dragon's Dogma 2 PC specs: Minimum and recommended system requirements
  • 5 Horizon Forbidden West PC specs: Minimum and recommended system requirements

voyager eus2

AIM logo Black

  • Last updated January 31, 2022
  • In AI Origins & Evolution

How the partnership with OpenAI has cemented Microsoft’s position in Supercomputers

  • by Shraddha Goled

microsoft azure supercomputer

In November 2021, Microsoft Azure claimed five spots in the TOP 500 list of the world’s most powerful supercomputers. Among these five, the Voyager-EUS2 became the only new entrant to the Top 10 of the list. This new supercomputer achieves 30.05 Pflop/s and is based on an AMD EPYC processor working with an NVIDIA A100 GPU with 80 GB memory – to which Microsoft credited its success.

Microsoft has been very vocal about its efforts in building public AI supercomputers that organisations can leverage to train their models. For example, companies like Meta (formerly known as Facebook) and Nuance (acquired by Microsoft) have been using the former’s supercomputers for research.

One of the important steps in Microsoft’s journey to building the fastest and most advanced supercomputer is its collaboration with the non-profit AI laboratory OpenAI. Last year, Microsoft developed a supercomputer for OpenAI. It is a single system with over 285,000 CPU cores, 10,000 GPUs and 400 gigabits per second of network connectivity for each GPU server. This supercomputer is hosted in Azure and is supported by modern cloud infrastructure with access to all Azure services, rapid deployment, and robust cloud infrastructure.

Microsoft and supercomputers

In 2016, speaking at an event in Dublin, Microsoft CEO Satya Nadella spoke at length about how the company’s cloud computing offering underpins a new wave of applications to be used for AI technologies.

“It is always the next-generation applications that have driven infrastructure and when we look at this current generation of applications that people are building, the thing that is going to define these applications, that characterises these applications, is machine learning and artificial intelligence. Therefore, we are building out Azure as the first AI supercomputer,” he had then said.

Microsoft has also claimed that Azure will democratise AI, further adding that soon there will be no restrictions on who can integrate AI functionalities in their business.

The big Microsoft-OpenAI collaboration

In 2019, Microsoft announced that it would be investing a whopping $1 billion in OpenAI. This collaboration is steered to develop new technologies for Microsoft Azure and extend large-scale AI capabilities to achieve artificial general intelligence. OpenAI will be licensing some of its intellectual property to Microsoft to commercialise and sell to its partners. A good example of this is OpenAI giving exclusive license of GPT-3 to Microsoft. 

As per this partnership, OpenAI’s next-generation computing hardware would be trained and run on Microsoft Azure . Under this arrangement, Microsoft built the supercomputer for OpenAI that was run on Azure.

Further, in addition to offering language model GPT-3 and other future models via OpenAI API, the AI lab also agreed to license GPT-3 to Microsoft. While OpenAI clarified that this deal would have no impact on the continued access to the language model through the API, the users could build their applications.

Soon after this announcement was made, Microsoft introduced its first features in GPT-3 powered customer product in May 2021. The tech giant announced that GPT-3 would be integrated into Microsoft Power Apps, a low code app development platform. Microsoft said that this platform, which runs on Azure and is powered by Azure Machine Learning, can solve real-world business problems on an enterprise scale.

In November 2021, at the annual Ignite conference, Microsoft unveiled Azure OpenAI service. This new service allows invite-only access to OpenAI’s API through the Azure platform. The tech giant also announced that users will be able to leverage new tools to determine if the outputs given by the model are appropriate for their businesses.

Wrapping up

Some of other leading companies that are building supercomputers include names like Meta (formerly Facebook) and IBM. However, having a leading AI lab as a partner gives Microsoft a major advantage. It needs to be seen how this partnership evolves in the future and what other innovations emerge from it.

Access all our open Survey & Awards Nomination forms in one place >>

Shraddha Goled

Shraddha Goled

Download our mobile app.

voyager eus2

10 AI Startups Run by Incredible Women Entrepreneurs 

Women entrepreneurs are harnessing AI to launch startups that innovate across sectors.

PM Modi Calls for Global Collaboration for AI in Education at G20 Meeting

Indian Govt Endorses IndiaAI Mission with ₹10,371 Crore Funding

Inflection ai unveils inflection-2.5, achieves gpt-4 and gemini level performance, top 10 alternatives to openai’s sora.

Lumiere is the closest competitor to Sora from Google DeepMind.

voyager eus2

Ola’s Krutrim Needs Korea’s Align AI

voyager eus2

Analytics India Salary Study 2024

voyager eus2

Google Cloud, Bhashini, and MachineHack Come Together for Bhasha Techathon

The techathon is scheduled to take place between 8th March and 21st April, 2024. 

voyager eus2

Road to AGI Shorter than Ever?

voyager eus2

Analytics with Her: Saarthee’s Women Leaders Break Barriers to Drive Positive Change

Our mission is to bring about better-informed and more conscious decisions about technology through authoritative, influential, and trustworthy journalism., shape the future of ai.

© Analytics India Magazine Pvt Ltd & AIM Media House LLC 2024

  • Terms of use
  • Privacy Policy

Subscribe to Our Newsletter

The Belamy, our weekly Newsletter is a rage. Just enter your email below.

voyager eus2

Top500: No Exascale, Fugaku Still Reigns, Polaris Debuts at #12

By Tiffany Trader

November 15, 2021

No exascale for you* — at least, not within the High-Performance Linpack (HPL) territory of the latest Top500 list, issued today from the 33rd annual Supercomputing Conference ( SC21 ), held in-person in St. Louis, Mo., and virtually, from Nov. 14–19. “We were hoping to have the first exascale system on this list but that didn’t happen,” said Top500 co-author Jack Dongarra in a press briefing this morning.

In an alternate timeline, the United States might have stood up two exascale systems by now: Aurora at Argonne National Laboratory and Frontier at Oak Ridge National Laboratory. Installation continues on the latter, and when we talked to Intel last week, they said that Argonne was preparing for the arrival of Aurora, now slated to be a two exaflops peak machine, doubling its (most recent) previous performance target.

The 58th edition of the Top500 offers a familiar lineup at the top. Japan’s Fugaku system is still in the number one spot providing 442 petaflops, with the U.S. systems Perlmutter – which improved its performance by nearly 10 percent to 70.9 petaflops – and Selene in fifth and sixth place, respectively. (DOE’s Summit and Sierra and China’s Sunway TaihuLight are still keeping their seats warm as well, holding second, third and fourth place respectively.) See graphic (inset, right).

voyager eus2

HPE picks up the next two spots with two new systems making their debut on the list. At number 11 is “SSC-21”, made for Samsung Electronics. The Apollo 6500 Gen10 Plus system features AMD Epyc Milan 7543 CPUs, each with 32-cores running at 2.8GHz, and InfiniBand HDR200 networking. SSC-21 delivers 25.2 Linpack petaflops out of a potential 31.8 peak petaflops, which comes out to a Linpack efficiency of 79 percent. A smaller 2.27 petaflops HPE system that uses very similar architecture – SSC-21 Scalable Module – achieved 33.98 gigaflops-per-watt energy-efficiency, securing it a second-place spot on the Green500.

Argonne National Laboratory’s Polaris supercomputer claims the 12th spot. Based on HPE’s Apollo 6500, Polaris contains ~560 second-generation AMD Epyc Rome 7532 CPUs (32 cores, 2.4GHz) plus ~ 2,240 Nvidia A100 40GB SXM4 GPUs with Slingshot 10 networking. It achieved an HPL score of 23.8 petaflops out of a possible 34.6 peak petaflops (68.8 percent efficiency). Polaris is providing a bridge to Argonne’s forthcoming Aurora exascale system, providing the lab with some extra compute power and assisting with software readiness. Argonne said the system would reach 44 peak petaflops in its final configuration, which involves swapping out the second-gen Rome Epyc CPUs with the newer, more performant Milan Epyc CPUs.

New in fourteenth place is CEA-HF, a 23.24 Linpack petaflops Atos BullSequana XH2000 system provided to the Commissariat a l’Energie Atomique (CEA) in France. CEA-HF comprises AMD third-generation Milan Epyc CPUs (64-core SKUs running at 2.45GHz), networked by Atos’ own BXI V2 interconnect.

New to the list – in spots 19, 36, 40 and 43 – are four Russian systems. Chervonenkis (#19 with 21.5 petaflops) and Galushkin (#36 with 16.0 petaflops) were made by IPE, Nvidia and Tyan for Russian internet company YANDEX. The systems employ 64-core AMD Rome Epyc processors running at 2GHz paired with Nvidia A100 80GB GPUs​, implementing InfiniBand networking.

A third Russian supercomputer, Lyapunov, was also built for YANDEX, grabbing the 40th spot with 12.8 Linpack petaflops. Lyapunov is based on Inspur’s NF5488A5 servers, outfitted with 64-core AMD Rome Epyc processors (running at 2GHz) paired with Nvidia A100 40GB GPUs, networked with InfiniBand. The system is manufactured by two Chinese organizations: NUDT and Inspur.

The fourth new entrant from Russia is Christofari Neo, built for SberCloud (a cloud platform backed by the Russia-based Sberbank Group). The 11.95 petaflops system comes in at number 43.

AMD continues to improve its Top500 positioning, now powering four of the top 10 machines. Across the list, there are 54 Epyc Rome systems, 17 Epyc Milan systems, and two Epyc Naples systems. With 73 systems in total, AMD’s share of the list has grown to 14.6 percent, a jump of 9.4 percent over the June list, and it has three times as many systems on the list as a year ago. Intel claims an 81.4 percent share of Top500 systems, down from 86.4 percent six months ago.

Nvidia is the manufacturer of 14 systems on this list, and it was collaboratively involved in building four others: Sierra (#2), Chervonenkis (#19), Lassen (#26) and Galushkin (#36).

No IBM systems arrived on or left the list. There are still seven: Summit (#2), Sierra (#3), Marconi-100 (#18), Lassen (#26), PANGEA III (#29), AiMOS (#57) and Longhorn (#279).

A total of 70 new systems made it onto the new Top500 list. One of the more noteworthy – in spot #435 – is “NA-IT1.” The 1.68 petaflops Linpack system marks the return of Japanese supercomputing company PEZY, which had gone quiet after the CEO and another employee were indicted for fraud in 2017 . NA-IT1 is a ZettaScaler3.0 machine with both AMD 64-core Epyc Rome processors and PEZY-SC3 proprietary manycore chips, connected at the node level by InfiniBand EDR. NA-IT1 ranks twelfth on the Green500, delivering 24.58 gigaflops-per-watt.

The new list also welcomes ARCHER2 in spot 22 with 19.5 Linpack petaflops. Installed at the EPSRC at the University of Edinburgh (UK), ARCHER2 is an HPE Cray XE system, powered by AMD Epyc Rome processors, connected by Slingshot-10 networking.

voyager eus2

The aggregate Linpack performance provided by all 500 systems is 3.06 exaflops, up from 2.79 exaflops six months ago and 2.43 exaflops 12 months ago. While the Linpack efficiency of the entire list is essentially unchanged at 63.5 percent compared with 63.1 percent six months ago, the Linpack efficiency of the top 100 segment climbed to 76.3 percent compared with 70.7 percent six months ago. The top system, Fugaku, delivers a healthy computing efficiency of 82.28 percent.

The minimum Linpack score required for inclusion on the 58th Top500 list is now 1.65 petaflops compared with 1.51 petaflops six months ago. The entry point for the top 100 segment increased to 4.85 petaflops versus 4.13 petaflops for the previous list. The current number 500 system (NA1, Lenovo, 1.65 petaflops) was ranked at number 433 on the last edition.

Green500 — Preferred Networks got its third Green500 win with its MN-3 system . PFN’s deep-learning-optimized MN-3 system improved its energy efficiency, achieving a remarkable 39.38 gigaflops-per-watt up from 29.7 gigaflops-per-watt on the last list. MN-3 is powered by the MN-Core chip, a proprietary accelerator that targets matrix arithmetic. The system placed 301 on the Top500 list with an improved score of 2.18 petaflops, several notches up from its number 337 position six months ago. As mentioned above, HPE’s new “ SSC-21 Scalable Module ” took second-place on the Green500 with 33.98 gigaflops-per-watt energy-efficiency. The HPE Apollo 6500 Gen10 Plus system with 32-core AMD Epyc Rome CPUs and Nvidia A100 80GB GPUs is ranked 291 on the Top500, delivering 2.27 HPL petaflops. In third place is Tethys , an Nvidia DGX A100 “Liquid Cooled Prototype,” powered by AMD Epyc Rome CPUs and Nvidia A100 80GB​, interconnected with HDR InfiniBand. Operated by Nvidia in the UK, Tethys delivers 31.54 gigaflops-per-watt, and ranks 295 on the Top500 (with 2.26 petaflops).

What’s next — Will there be a chart-topping exaflopper on the next iteration of the Top500? We’ve heard that additional details for both Aurora (Argonne) and Frontier (Oak Ridge) may be disclosed here at SC21 this week, and we have it on good authority that there are two significant pre-exascale systems and two exascale systems in China that have been held off the list. The next edition of the twice-yearly Top500 list will be published in tandem with the ISC proceedings, taking place May 29 through June 2 in Hamburg after a multi-year run in Frankfurt and two back to back years of digital-only events in 2020 and 2021.

* In 2013, Top500 co-author Horst Simon made his case for why there wouldn’t be an exascale machine before 2020.

Leading Solution Providers

Altair

Off The Wire

Industry headlines, march 8, 2024.

  • COMPUTEX 2024: Intel CEO Pat Gelsinger to Deliver Keynote Speech on June 4
  • TSMC Releases February 2024 Revenue Report
  • ACCESS MATCH Services: Bridging the Gap Between Researchers and Students in HPC

March 7, 2024

  • Vultr Expands Seattle Data Center with NVIDIA HGX H100 GPU Clusters for AI and ESG Goals
  • Fujitsu and Carnegie Mellon University Develop AI-powered Social Digital Twin Tech with Traffic Data from Pittsburgh
  • HLRS and Kumoh National Institute of Technology Sign Collaboration Agreement
  • Gates to Leverage Expertise in Fluid Power Solutions in New Partnership with CoolIT Systems
  • Terra Quantum Unveils TQCompressor, Enhancing Large Language Model Efficiency
  • Classiq and Alice & Bob Announce New Partnership to Advance Fault-Tolerant Quantum Computing
  • IBM and C-DAC Aim to Accelerate India’s Processor Design and Manufacturing Capabilities for HPC
  • NCSA’s Delta Supercomputer Powers New Study on Thawing Permafrost’s Impact on Infrastructure

March 6, 2024

  • BSC Hosts 2nd European Memory Systems Forum, Uniting Global Experts in Barcelona
  • CERN-Backed Quantum Initiative Aims to Tackle Global Challenges Through Advanced Computing
  • DARPA Awards EnCharge AI and Princeton $18.6M to Pioneer Next-Gen In-Memory AI Processors
  • COMPUTEX 2024 Unveils AI Powerhouses
  • SDSC and University of Utah Pioneer $6M National Data Platform for Equitable Scientific Research
  • Cadence to Acquire BETA CAE, Expanding into Structural Analysis

March 5, 2024

  • Auroop Ganguly Recognized as Distinguished Member by the Association for Computing Machinery
  • HPE Advances AI and Data Lake Workloads with High-Density, All-Flash Options in GreenLake for File Storage
  • OQC Welcomes Chevron Technology Ventures in $100M Series B Funding to Enhance Quantum Computing in the Energy Sector

More Off The Wire

Off The Wire Industry Headlines

Subscribe to hpcwire's weekly update.

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

  • Editor’s Picks
  • Most Popular

voyager eus2

Next Euro HPC Chip Coming Next Year Will Be in 2026 EU Exascale System

The next supercomputing chip for Europe's homegrown Exascale supercomputer will come next year, according to an updated product roadmap. The 2025-bound Rhea-2 chip will succeed the Rhea-1 chip, the ARM-based CPU power Read more…

voyager eus2

OLCF’s Summit Supercomputer Lives for Another Year with SummitPLUS

The giant supercomputer Summit — based at Oak Ridge National Lab’s Leadership Computing Facility (OLCF) —  lives on, at least for one more year supported by a new program, SummitPLUS. Scheduled for shutdown earlie Read more…

voyager eus2

MEMCON 2024: Insights into CXL, HBM, GenAI, and More

As the world focuses on GenAI, there is still plenty of other computing going on worldwide. A common denominator is the expanding role of memory technology in GenAI, HPC, and beyond. And, like all other technologies, new Read more…

voyager eus2

Google, XPRIZE Launch $5M Quantum Application Challenge

March 4, 2024

Google Quantum AI, the XPRIZE Foundation, and the Geneva Science and Diplomacy Anticipator (GESDA) Foundation have announced a 3-year, $5 million global competition to generate quantum computing (QC) algorithms and appli Read more…

voyager eus2

HPC in Underserved Regions: The Longest Last Mile

March 3, 2024

(Originally published in the Insight SoftMax blog Feb 27, 2024) Prior to the last Supercomputing23 conference in Denver, there was a pre-conference workshop called NRG@SC23, put on by Elizabeth Leake (STEM-Trek) and B Read more…

voyager eus2

U.S. Quantum Director Charles Tahan Calls for NQIA Reauthorization Now

February 29, 2024

Origin stories make the best superhero movies. I am no superhero, but I still remember what my undergraduate thesis advisor said when I told him that I wanted to design quantum computers in graduate school: “You’ll n Read more…

The next supercomputing chip for Europe's homegrown Exascale supercomputer will come next year, according to an updated product roadmap. The 2025-bound Rhea- Read more…

The giant supercomputer Summit — based at Oak Ridge National Lab’s Leadership Computing Facility (OLCF) —  lives on, at least for one more year supported Read more…

Google Quantum AI, the XPRIZE Foundation, and the Geneva Science and Diplomacy Anticipator (GESDA) Foundation have announced a 3-year, $5 million global competi Read more…

(Originally published in the Insight SoftMax blog Feb 27, 2024) Prior to the last Supercomputing23 conference in Denver, there was a pre-conference workshop Read more…

Royalty-free stock illustration ID: 1988202119

pNFS Provides Performance and New Possibilities

At the cusp of a new era in technology, enterprise IT stands on the brink of the most profound transformation since the Internet's inception. This seismic shift Read more…

voyager eus2

Celebrating 35 Years of HPCwire by Recognizing 35 HPC Trailblazers

In 1988, a new IEEE conference debuted in Orlando, Florida. The planners were expecting 200-300 attendees because the conference was focused on an obscure t Read more…

voyager eus2

Forrester’s State of AI Report Suggests a Wave of Disruption Is Coming

February 28, 2024

The explosive growth of generative artificial intelligence (GenAI) heralds opportunity and disruption across industries. It is transforming how we interact with Read more…

voyager eus2

Q-Roundup: Google on Optimizing Circuits; St. Jude Uses GenAI; Hunting Majorana; Global Movers

February 27, 2024

Last week, a Google-led team reported developing a new tool - AlphaTensor Quantum - based on deep reinforcement learning (DRL) to better optimize circuits. A we Read more…

voyager eus2

Training of 1-Trillion Parameter Scientific AI Begins

November 13, 2023

A US national lab has started training a massive AI brain that could ultimately become the must-have computing resource for scientific researchers. Argonne N Read more…

voyager eus2

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

voyager eus2

Nvidia Wins SC23, But Gets Socked by Microsoft’s AI Chip

November 16, 2023

Nvidia was invisible with a very small booth and limited floor presence, but thanks to its sheer AI dominance, it was a winner at the Supercomputing 2023. Nv Read more…

voyager eus2

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

voyager eus2

Analyst Panel Says Take the Quantum Computing Plunge Now…

November 27, 2023

Should you start exploring quantum computing? Yes, said a panel of analysts convened at Tabor Communications HPC and AI on Wall Street conference earlier this y Read more…

Royalty-free stock illustration ID: 1675260034

RISC-V Summit: Ghosts of x86 and ARM Linger

November 12, 2023

Editor note: See SC23 RISC-V events at the end of the article At this year's RISC-V Summit, the unofficial motto was "drain the swamp," that is, x86 and Read more…

voyager eus2

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Contributors

Tiffany Trader

Tiffany Trader

Editorial director.

Douglas Eadline

Douglas Eadline

Managing editor.

John Russell

John Russell

Senior editor.

Jaime Hampton

Jaime Hampton

Contributing editor.

Mariana Iriarte

Mariana Iriarte

Alex Woodie

Alex Woodie

Addison Snell

Addison Snell

Drew Jolly

Editorial Assistant

voyager eus2

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

voyager eus2

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

voyager eus2

Chinese Company Developing 64-core RISC-V Chip with Tech from U.S.

Chinese chip maker SophGo is developing a RISC-V chip based on designs from the U.S. company SiFive, which highlights challenges the U.S. government may face in Read more…

voyager eus2

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Royalty-free stock illustration ID: 1182444949

Forget Zettascale, Trouble is Brewing in Scaling Exascale Supercomputers

November 14, 2023

In 2021, Intel famously declared its goal to get to zettascale supercomputing by 2027, or scaling today's Exascale computers by 1,000 times. Moving forward t Read more…

voyager eus2

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

voyager eus2

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

arrow

  • Click Here for More Headlines

The Information Nexus of Advanced Computing and Data systems for a High Performance World

  • Our Publications
  • Live Events
  • Privacy Policy
  • Cookie Policy
  • About Tabor Communications
  • Update Subscription Preferences
  • California Consumers

© 2024 HPCwire. All Rights Reserved. A Tabor Communications Publication

HPCwire is a registered trademark of Tabor Communications, Inc. Use of this site is governed by our Terms of Use and Privacy Policy.

Reproduction in whole or in part in any form or medium without express written permission of Tabor Communications, Inc. is prohibited.

Privacy Overview

Copy short link.

logo

Japan's Fugaku, Microsoft's Voyager-EUS2 among world's top 10 supercomputers

In the 58th annual edition of the top500 list, the microsoft azure system called voyager-eus2 was the only machine to shake up the top spots, claiming no 10.

Top 10 Supercomputers

New Delhi: A Microsoft Azure supercomputer running on Linux and not Windows has made it to the rankings of the world's 10 fastest machines for the first time, as Japan's Fugaku supercomputer outperformed all competition once again.

In the 58th annual edition of the TOP500 list, the Microsoft Azure system called Voyager-EUS2 was the only machine to shake up the top spots, claiming No 10.

Based on the benchmark known as High Performance Linpack (HPL), the TOP500 list was devised to track the 500 fastest supercomputers in the world. The list has been tracking these machines on a continuous basis twice a year.

Also Read | Supercomputer does 20,000 trillion calculations in a blink!

"Based on an AMD EPYC processor with 48 cores and 2.45GHz working together with an NVIDIA A100 GPU and 80GB of memory, Voyager-EUS2 also utilises a Mellanox HDR Infiniband for data transfer. It achieved a benchmark speed of 30.05 Petaflop per second," TOP500 said in a statement.

Microsoft's supercomputer is still behind China's Tianhe-2A and the US Department of Energy's IBM-based Summit supercomputer, but it's the only major cloud provider with a supercomputer ranked in the top 10.

Fugaku continues to hold the No 1 position that it first earned in June 2020.

Also Read | Microsoft launches new Supercomputer to train large AI models

Summit, an IBM-built system at the Oak Ridge National Laboratory (ORNL) in Tennessee, US, remains the fastest system in the US and at the No 2 spot worldwide.

Sierra, a system at the Lawrence Livermore National Laboratory, CA, USA, is at No 3.

Unsurprisingly, systems from China and the US dominated the list. Although China dropped from 186 systems to 173, the US increased from 123 machines to 150.

For all the latest News, Opinions and Views , download ummid.com App .

Google News

Share this page

Top headlines.

  • 0 Watch: Vir Das “TWO INDIAS” monologue that irked pseudo-nationalists
  • 1 US universities see decline in foreign students during pandemic
  • 2 Become Microsoft Azure Administrator with AZ-104 Exam
  • 3 18 more mammalian viruses detected in China's wet markets
  • 4 Taliban deserved victory against US forces: Russia's special envoy
  • 5 Nawazuddin Siddiqui's 'McMafia' wins Best Drama at 47th International Emmy Awards
  • 6 Nvidia-ARM acquisition deal undergoes deeper scrutiny in UK
  • 7 At minus 1.5, Srinagar records coldest night, Drass in deep freeze at minus 13.0
  • 8 UK records over 37K new Coronavirus cases, 214 deaths Tuesday
  • 9 Lockdown like restrictions in Delhi-NCR to improve air quality

Top Stories

Vir Das

Watch: Vir Das “TWO INDIAS” monologue that irked pseudo-nationalists

More stories.

Russia on Taliban victory

Taliban deserved victory against US forces: Russia's special envoy

Madinah from space

Russian astronaut shares photos of Madinah from space

Logo

  • Press office
  • Terms of use
  • Work with us
  • Adverise with us
  • News Section
  • International
  • Life & Style
  • Science & Technology
  • Views & Analysis

voyager eus2

  • Thought leadership

Advancing medical and healthcare research through Microsoft technologies

  • By David C. Rhew, MD, Global Chief Medical Officer and Vice President of Healthcare, Microsoft
  • Digital Healthcare
  • Health Data Management

In 2019, medical researchers at the Jackson Laboratory in Bar Harbor, Maine, were searching for a way to accelerate the development of cancer drugs. They faced a unique challenge. In a field that publishes hundreds of new research papers daily, the information needed to save a patient’s life might only be available in one paper. No detail can be overlooked, yet no team has the time to read hundreds of scientific articles every day.

Working in collaboration with Microsoft, the Jackson Lab developed the Clinical Knowledgebase (CKB), an AI-powered database consisting of published literature and curated information about genomic mutations and cancer drugs. Today, the CKB makes it easy for oncologists to discover precise matches between a patient’s genes, tumor markers, and treatments.

The Jackson Lab is one of many medical research organizations that use advanced technology to improve patient outcomes and empower clinicians.

A privacy-preserving technology collaboration that delivers medical research breakthroughs

With large and diverse data sets, researchers can develop and validate AI algorithms whose results are generalizable to broader populations and clinical scenarios. However, data sharing agreements between researchers from different organizations can be difficult to execute due to concerns related to data security, privacy, and use rights.

While working at the Center for Digital Health Innovation at the University of California San Francisco (UCSF) and in collaboration with Microsoft and other partners, the founders of BeeKeeperAI developed and validated a sightless computing platform to address this issue. The company has since spun out of UCSF and developed a commercial software as a service product called EscrowAI to facilitate secure collaboration between algorithm developers and data stewards, allowing algorithms to compute sightlessly on privacy-controlled data using the Azure confidential computing environment and resources.

Working within a Zero Trust framework, EscrowAI maintains the privacy of patient data throughout the algorithm compute process. Data stewards retain control of their data at all times. By facilitating sightless computing, EscrowAI promises to remove the need for costly and time-consuming data anonymization. This dramatically reduces the risk of data breaches when allowing third parties to compute protected health information (PHI) data and avoids costly sanctions and tarnished reputations while maintaining compliance with Health Insurance Portability and Accountability Act regulations.

Another privacy-preserving data approach involves verifiable data provenance and granular personally identifiable information/PHI consent management. Equideum Health, working with Microsoft, assists cross-enterprise data collaboration without data centralization, using Azure confidential computing and Microsoft Purview .

In this approach, data from each collaborating institution is normalized, cataloged, and enriched with new classes of metadata related to provenance, identity, and granular consent. The expanded metadata enables cross-enterprise data discovery, which is used to structure compliant collaborative analytics and machine learning workloads governed by fine-grained, enforceable, and dynamic consent.

The collaborative compute workloads are then orchestrated across participating enterprises without exposing, sharing, or exchanging their respective source data. This removes the need for de-identification and, therefore, preserves complete data context, quality, and longitudinality. Trusted and verifiable analytical insights are then available to the participating enterprises.

These types of secure privacy-preserving approaches to data sharing and collaboration are particularly relevant to researchers who receive grant funding from the National Institutes of Health (NIH). Beginning in 2023, all researchers who receive funding from the NIH must make all the scientific data used in their NIH-sponsored research openly available.

The NIH’s objective is to accelerate biomedical research through the open sharing of high-value data sets. Zero Trust and Confidential Computing Collaborative approaches to data sharing can help ensure that clinical and research data is shared in ways that preserve privacy and intellectual property.

The NIH Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability Initiative, or the STRIDES Initiative , has also taken a keen interest in data sharing. Working with Microsoft, STRIDES extends special pricing on cloud technology—along with access to specialized training and subject matter experts—to medical researchers.

Healthcare AI applications improve patient care, outcomes, and efficiency

Many AI-driven solutions have a direct impact on patient health. Take the case of a project that doubled the capacity of scarce medical equipment in 2020. Volunteers from Duke University used AI for Health from Microsoft to design a life-saving ventilator splitter as an emergency measure. Drawing on the Voyager-EUS2 supercomputer on Azure, which is the world’s fastest public cloud supercomputer, the team logged 800,000 hours of computing time in just 36 hours to optimize the project and bring it to doctors and patients across the United States. With the splitter, doctors could temporarily place two patients on a single ventilator.

Another healthcare AI project is underway at Rush University Medical Center, where physicians are using ambient clinical intelligence (ACI) to convert patient-physician conversations into structured clinical progress notes that can be seamlessly integrated into the electronic health record (EHR). With ACI, a clinician’s time spent documenting in the EHR is reduced by 50 percent. As a result, 70 percent of clinicians feel less burned out, and 83 percent of patients report a better experience. First-time approval for prior authorization also increased by 40 percent.

Advancing the future of medical and healthcare research

It’ll be exciting to watch how academic medical centers around the world will use cloud technology to increase life-changing research. Using Microsoft solutions, they’ll drive innovation to advance medicine and improve patient care and experiences.

For more information on these opportunities and partnerships, visit Microsoft Cloud for Healthcare .

David C. Rhew, MD

Related posts

Customer reviews a bank brochure, while bank employee explains the loan application process.

Modernize financial services to mitigate challenges in risk  

Azure solution in manufacturing. Empowered floor operations manager able to make intelligent decisions and give confident direction to an employee based on data analytics and insights powered by Azure.

Harnessing the power of APIs for AI-powered innovation  

Professionals collaborating at a laptop in an open office setting.

AI: from an exciting concept to practical applications  

Man collaborating in front of computer screens

Microsoft empowers comprehensive security in the era of AI  

Voyager Supercomputer Enters Testbed Phase

SDSC’s Voyager supercomputer. Credit: SDSC External Relations

  • Cynthia Dillon

Media Contact:

Published Date

Share this:, article content.

Voyager, the experimental compute resource newly installed at the San Diego Supercomputer Center (SDSC), is ready for use. Sanctioned for production by the National Science Foundation (NSF), the high-performance/high-efficiency supercomputer located at UC San Diego is moving into its operational testbed phase.

Envisioned as a system to facilitate exploration of new architectures in support of artificial intelligence (AI) in research and engineering, Voyager is a major departure from former NSF systems that have been focused on delivering computing resource in support of traditional applications and programming models. Instead, Voyager emphasizes deep engagement with the AI research community and features specialized hardware and software, close collaboration with applications teams and the opportunity to share these experiences within the community.

Voyager Principal Investigator Amit Majumdar explained that the NSF-supported Voyager project is structured in two phases: 1) a three-year testbed phase and 2) a two-year allocations phase.

“The testbed phase is centered around deep user engagement, whereby select research groups will provide information to help evaluate Voyager’s innovative deep learning (DL) hardware, software, libraries and machine learning (ML) application porting and performance,” said Majumdar.

The testbed phase will be guided by an External Advisory Board that will help recruit research groups. During the first years, the project will offer semiannual workshops and user forums to share lessons learned and to bring researchers together. These approaches will help to develop a knowledge base, best-use cases for future users and allocation policies. The allocations phase will follow via an NSF-approved process, which will be informed by the lessons learned from the testbed phase, regular and advanced user support, semiannual workshops and industry engagement for similar technology evaluation.

“The National Science Foundation is delighted to see the Voyager system move into its operational testbed phase,” said Manish Parashar, NSF director, Office of Advanced Cyberinfrastructure (OAC). “Artificial Intelligence research is playing an increasingly important role across all areas of science, engineering research and education. Voyager, with its specialized hardware and software capabilities and deep engagements, can be a tremendous resource for the community, providing new research opportunities and driving innovation.”

According to Majumdar, Voyager’s architecture features hardware and software innovations that will lead to performance gains and ease porting and model development in AI. Voyager comprises 42 Supermicro X12 Gaudi® AI Training Systems with 336 Habana Gaudi processors—designed for scaling large supercomputer training applications—and 16 Habana Goya processors to power AI inference models. Voyager’s networking is designed to support very large AI models. Each Gaudi processor has 10 integrated ports of RoCE (RDMA over converged Ethernet), with the 42 training systems connected by six 400Gpbs connections into a large Arista non-blocking switch.

“Porting of user applications has been relatively straightforward,” said Majumdar, adding that several applications are now running on Gaudi and Goya. “So far our experience is that codes need minimal changes.”

With support from Habana developers, in collaboration with SDSC and researchers, the porting of user applications is providing a basis for training materials, including a three-hour session that has been recorded for other users.

“One team has been running applications via Jupyter Notebook on Gaudi, and users can run with familiar TensorFlow and PyTorch frameworks,” said Majumdar, noting that the system was designed to support exploration in multiple dimensions (Gaudi and Goya processors, RoCE interconnect, 400 GbE switch, Kubernetes, Ceph, cnvrg.io, Slurm and more).

According to SDSC’s Deputy Director Shawn Strande, strong collaboration with technology partners at Supermicro and Habana allowed SDSC to bring this innovative architecture to the community.

“Considering the amount of innovation, the acquisition, deployment and installation have been remarkably smooth (even in the midst of Covid-19 conditions), with issues resolved jointly with Supermicro and Habana experts,” said Strande, who also serves as the project manager for Voyager.

SDSC experts reported that in most cases, measured performance has been better than projected, due in large part to software improvements by Habana and the collaboration.

“Supermicro is excited to continue supporting SDSC's multi-year Voyager AI project as it enters the critical testbed phase of production operations,” said Ray Pang, vice president of technology enablement, Supermicro. “Supermicro's ability to create complex AI solutions encompassing networking, compute, storage and AI, demonstrates how Supermicro's AI and HPC solutions are ideal for science, medical and academic research.”

You May Also Like

Healable cathode could unlock potential of solid-state lithium-sulfur batteries, product life cycle research helps define economic vitality, influencing researchers and policymakers, helen v. griffith celebrated at uc black administrators’ council conference, when planning sustainable energy systems—don’t forget about people, stay in the know.

Keep up with all the latest from UC San Diego. Subscribe to the newsletter today.

You have been successfully subscribed to the UC San Diego Today Newsletter.

Campus & Community

Arts & culture, visual storytelling.

  • Media Resources & Contacts

Signup to get the latest UC San Diego newsletters delivered to your inbox.

Award-winning publication highlighting the distinction, prestige and global impact of UC San Diego.

Popular Searches: Covid-19   Ukraine   Campus & Community   Arts & Culture   Voices

We have updated our terms and conditions and privacy policy Click "Continue" to accept and continue with ET CIO

We use cookies to ensure best experience for you

We use cookies and other tracking technologies to improve your browsing experience on our site, show personalize content and targeted ads, analyze site traffic, and understand where our audience is coming from. You can also read our privacy policy , We use cookies to ensure the best experience for you on our website.

By choosing I accept, or by continuing being on the website, you consent to our use of Cookies and Terms & Conditions .

  • SOUTHEAST ASIA
  • Leaders Speak
  • Brand Solutions
  • Microsoft's supercomputer running Linux among 10 fastest machines

In the 58th annual edition of the TOP500 list, the Microsoft Azure system called Voyager-EUS2 was the only machine to shake up the top spots, claiming No 10.

voyager eus2

  • Updated On Nov 19, 2021 at 10:09 AM IST

voyager eus2

  • Published On Nov 19, 2021 at 10:09 AM IST

All Comments

By commenting, you agree to the Prohibited Content Policy

Find this Comment Offensive?

  • Foul Language
  • Inciting hatred against a certain community
  • Out of Context / Spam

Join the community of 2M+ industry professionals

Subscribe to our newsletter to get latest insights & analysis., download etcio app.

  • Get Realtime updates
  • Save your favourite articles

voyager eus2

  • Microsoft Linux machine
  • microsoft azure

Not logged in

  • Create account

Voyager-EUS2

Page actions.

  • View source

Voyager-EUS2 is a supercomputer built by Microsoft Azure , capable of 39.531 petaflops, and is ranked 14th in the TOP500 as of November 2022. [1] [2] [3] [4] Voyager-EUS2 runs from Microsoft Azure East US 2 region and it utilizes 253,440 cores on AMD EPYC CPUs along with an NVIDIA A100 GPU with 80GB memory and a Mellanox HDR Infiniband for data transfer running on Linux distribution. [5] [1] [4]

  • ↑ 1.0 1.1 "Voyager-EUS2" . https://www.top500.org/lists/top500/list/2022/11/ .  
  • ↑ "Japan's Fugaku, Microsoft's Voyager-EUS2 among world's top 10 supercomputers" (in en) . https://ummid.com/news/2021/november/18.11.2021/top-10-supercomputers.html .  
  • ↑ "A Microsoft Azure supercomputer is now the 10th most powerful in the world" . 2021-11-18 . https://www.windowscentral.com/microsoft-azure-supercomputer-pushes-its-way-top-10-most-powerful-systems-world .  
  • ↑ 4.0 4.1 Tung, Liam. "Microsoft now has one of the world's fastest supercomputers (and no, it doesn't run on Windows)" (in en) . https://www.zdnet.com/article/microsoft-now-has-one-of-the-worlds-fastest-supercomputers-and-no-it-doesnt-run-on-windows/ .  
  • ↑ Mackie, Kurt (November 17, 2021). "Microsoft Azure-Based Machine Ranked No. 10 in Supercomputing List" (in en-US) . https://redmondmag.com/articles/2021/11/17/microsoft-azure-based-machine-ranked-no.-10-in-supercomputing-list.aspx .  
  • Supercomputers

voyager eus2

  • Add a new article
  • Search in all topics
  • Search in namespaces
  • Search in categories
  • Search using prefix
  • About HandWiki
  • How to edit
  • Citation manager
  • Formatting articles
  • List of categories
  • Recent pages
  • Recent changes
  • Random page
  • Support & Donate
  • Special pages
  • Cite this page

User page tools

  • What links here
  • Related changes
  • Printable version
  • Permanent link
  • Page information

Other projects

In other languages.

Powered by MediaWiki

  • This page was last edited on 6 February 2024, at 20:36.
  • Privacy policy
  • Disclaimers

voyager eus2

  • Home »
  • Resources »

Still waiting for Exascale: Japan's Fugaku outperforms all competition once again

FRANKFURT, Germany; BERKELEY, Calif.; and KNOXVILLE, Tenn.— The 58th annual edition of the TOP500 saw little change in the Top10. The Microsoft Azure system called Voyager-EUS2 was the only machine to shake up the top spots, claiming No. 10. Based on an AMD EPYC processor with 48 cores and 2.45GHz working together with an NVIDIA A100 GPU and 80 GB of memory, Voyager-EUS2 also utilizes a Mellanox HDR Infiniband for data transfer. 

While there were no other changes to the positions of the systems in the Top10, Perlmutter at NERSC improved its performance to 70.9 Pflop/s. Housed at the Lawrence Berkeley National Laboratory, Perlmutter’s increased performance couldn’t move it from its previously held No. 5 spot. 

Fugaku continues to hold the No. 1 position that it first earned in June 2020. Its HPL benchmark score is 442 Pflop/s, which exceeded the performance of Summit at No. 2 by 3x. Installed at the Riken Center for Computational Science (R-CCS) in Kobe, Japan, it was co-developed by Riken and Fujitsu and is based on Fujitsu’s custom ARM A64FX processor. Fugaku also uses Fujitsu’s Tofu D interconnect to transfer data between nodes. 

In single or further-reduced precision, which are often used in machine learning and A.I. application, Fugaku has a peak performance above 1,000 PFlop/s (1 Exaflop/s). As a result, Fugaku is often introduced as the first “Exascale” supercomputer. 

While there were also reports about several Chinese systems reaching Exaflop level performance, none of these systems submitted an HPL result to the TOP500. 

Here’s a summary of the systems in the Top10:

  • Fugaku remains the No. 1 system. It has 7,630,848 cores which allowed it to achieve an HPL benchmark score of 442 Pflop/s. This puts it 3x ahead of the No. 2 system in the list.  
  • Summit, an IBM-built system at the Oak Ridge National Laboratory (ORNL) in Tennessee, USA, remains the fastest system in the U.S. and at the No. 2 spot worldwide. It has a performance of 148.8 Pflop/s on the HPL benchmark, which is used to rank the TOP500 list. Summit has 4,356 nodes, each housing two Power9 CPUs with 22 cores each and six NVIDIA Tesla V100 GPUs, each with 80 streaming multiprocessors (S.M.). The nodes are linked together with a Mellanox dual-rail EDR InfiniBand network.
  • Sierra, a system at the Lawrence Livermore National Laboratory, CA, USA, is at No. 3. Its architecture is very similar to the #2 systems Summit. It is built with 4,320 nodes with two Power9 CPUs and four NVIDIA Tesla V100 GPUs. Sierra achieved 94.6 Pflop/s.
  • Sunway TaihuLight is a system developed by China’s National Research Center of Parallel Computer Engineering & Technology (NRCPC) and installed at the National Supercomputing Center in Wuxi, China's Jiangsu province is listed at the No. 4 position with 93 Pflop/s.
  • Perlmutter at No. 5 was newly listed in the TOP10 in last June. It is based on the HPE Cray “Shasta” platform, and a heterogeneous system with AMD EPYC based nodes and 1536 NVIDIA A100 accelerated nodes. Perlmutter improved its performance to 70.9 Pflop/s
  • Selene, now at No. 6, is an NVIDIA DGX A100 SuperPOD installed in-house at NVIDIA in the USA.  The system is based on an AMD EPYC processor with NVIDIA A100 for acceleration and a Mellanox HDR InfiniBand as a network. It achieved 63.4 Pflop/s.
  • Tianhe-2A (Milky Way-2A), a system developed by China’s National University of Defense Technology (NUDT) and deployed at the National Supercomputer Center in Guangzhou, China, is now listed as the No. 7 system with 61.4 Pflop/s.
  • A system called “JUWELS Booster Module” is No. 8. The BullSequana system build by Atos is installed at the Forschungszentrum Juelich (FZJ) in Germany. The system uses an AMD EPYC processor with NVIDIA A100 for acceleration and a Mellanox HDR InfiniBand as a network similar to the Selene System. This system is the most powerful system in Europe, with 44.1 Pflop/s. 
  • HPC5 at No. 9 is a PowerEdge system built by Dell and installed by the Italian company Eni S.p.A. It achieves a performance of 35.5 Pflop/s due to using NVIDIA Tesla V100 as accelerators and a Mellanox HDR InfiniBand as the network.  
  • Voyager-EUS2, a Microsoft Azure system installed at Microsoft in the U.S., is the only new system in the TOP10. It achieved 30.05 Pflop/s and is listed at No. 10. This architecture is based on an AMD EPYC processor with 48 cores and 2.45GHz working together with an NVIDIA A100 GPU with 80 G.B. memory and utilizing a Mellanox HDR Infiniband for data transfer. 

Other TOP500 highlights 

While there were not many changes to the Top10, we did see a smattering of shifts within the Top15. The new Voyager-EUS system from Microsoft followed its sibling into the No. 11 spot, while the SSC-21 system from Samsung introduced itself to the list at No. 12. Polaris, also a new system, came in at No. 13 while the new CEA-HF took No. 15. 

Like the last list, AMD processors are seeing a lot of success. Frontera, which has a Xeon Platinum 8280 processor, got bumped by Voyager-EUS2, which has an AMD EPYC processor. What’s more, all of the new Top15 machines described above have AMD processors 

Unsurprisingly, systems from China and the USA dominated the list. Although China dropped from 186 systems to 173, the USA increased from 123 machines to 150. All told, these two countries account for nearly two-thirds of the supercomputers on the TOP500. 

The new edition of the list didn’t showcase much change in terms of system interconnects. Ethernet still dominated at 240 machines, while Infiniband accounted for 180.  Ominpath interconnects saw 40 spots on the list, there were 34 custom interconnects, and only 6 systems with proprietary networks. 

Green500 results 

The system to claim the No. 1 spot for the Green500 was MN-3 from Preferred Networks in Japan. Relying on the MN-Core chip and an accelerator optimized for matrix arithmetic, this machine was able to achieve an incredible 39.38 gigaflops/watt power-efficiency. This machine provided a performance 29.7- gigaflops/watt on the last list, clearly showcasing some impressive improvement. It also enhanced its standing on the TOP500 list, moving from No. 337 to No. 302. 

The new SSC-21 Scalable Module an HPE Apollo 6500 system installed at Samsung Electronics in South Korea achieved an impressive 33.98 gigaflops/watt. They did so by submitting an power optimized run of the HPL benchmark. It is listed at  position 292 in the TOP500.

NVIDIA installed a new liquid cooled DGX A100 prototype system called Tethys. With a power optimized HPL run Tethys achieved 31.5 gigaflops/watt and garne red the No. 3 spot on the Green500. It is listed at position 296 in the TOP500.

The Wilkes-3 system improved its results but was still pushed down to the No.4 spot on the Green500.  Wilkes-3, which is housed at the University of Cambridge in the U.K., had a power-efficiency of 30.8 gigaflops/watt. However, it was pushed from No. 100 to No. 281 on the TOP500 list.

The University of Florida in the USA with its HiPerGator AI system was pushed from the No. 2 spot to the No. 5 spot. This machine held steady at 29.52 gigaflops/watt. This NVIDIA system has 138,880 cores and relies on an AMD EPYC 7742 processor. Despite this impressive performance, HiPerGator AI was pushed from No. 22 to No. 31 on the TOP500

HPCG Results 

The TOP500 list has incorporated the High-Performance Conjugate Gradient (HPCG) Benchmark results, which provide an alternative metric for assessing supercomputer performance and is meant to complement the HPL measurement.

The HPCG results here are very similar to the last list. Fugaku was the clear winner with 16.0 HPCG-petaflops, while Summit retained its No. 2 spot with 2.93 HPCG-petaflops. Perlmutter, a USA machine housed at Lawrence Berkeley National Laboratory, took the No. 3 spot with 1.91 HPCG-petaflops. 

HPL-AI Results 

The HPL-AI benchmark seeks to highlight the convergence of HPC and artificial intelligence (AI) workloads based on machine learning and deep learning by solving a system of linear equations using novel, mixed-precision algorithms that exploit modern hardware.

Achieving an HPL-AI benchmark of 2 Exaflops, Fugaku is leading the pack in this regard. With such excellent metrics year-after-year, combined with a consideration by many as the first “Exascale” supercomputer, Fugaku is clearly an exciting system. 

Current List

25 year anniversary, newsletter signup.

English News

  • Entertainment
  • Science and Tech
  • Education Today

Fitnessandbeyond

Microsoft’s supercomputer running Linux among world’s 10 fastest machines

In the 58th annual edition of the TOP500 list, the Microsoft Azure system called Voyager-EUS2 was the only machine to shake up the top spots, claiming No 10.

Microsoft’s supercomputer running Linux among world’s 10 fastest machines

New Delhi: A Microsoft Azure supercomputer running on Linux and not Windows has made it to the rankings of the world’s 10 fastest machines for the first time, as Japan’s Fugaku supercomputer outperformed all competition once again.

Based on the benchmark known as High Performance Linpack (HPL), the TOP500 list was devised to track the 500 fastest supercomputers in the world. The list has been tracking these machines on a continuous basis twice a year.

“Based on an AMD EPYC processor with 48 cores and 2.45GHz working together with an NVIDIA A100 GPU and 80GB of memory, Voyager-EUS2 also utilises a Mellanox HDR Infiniband for data transfer. It achieved a benchmark speed of 30.05 Petaflop per second,” TOP500 said in a statement.

Microsoft’s supercomputer is still behind China’s Tianhe-2A and the US Department of Energy’s IBM-based Summit supercomputer, but it’s the only major cloud provider with a supercomputer ranked in the top 10.

Fugaku continues to hold the No 1 position that it first earned in June 2020.

Summit, an IBM-built system at the Oak Ridge National Laboratory (ORNL) in Tennessee, US, remains the fastest system in the US and at the No 2 spot worldwide.

Sierra, a system at the Lawrence Livermore National Laboratory, CA, USA, is at No 3.

Unsurprisingly, systems from China and the US dominated the list. Although China dropped from 186 systems to 173, the US increased from 123 machines to 150.

  • Follow Us :
  • supercomputer

Related News

Dolly Chaiwala shares story of serving tea to Bill Gates, initially didn’t recognize him

Dolly Chaiwala shares story of serving tea to Bill Gates, initially didn’t recognize him

“There’s lot of fantastic AI work going on in India,” says Bill Gates

“There’s lot of fantastic AI work going on in India,” says Bill Gates

Have you seen this video of Bill Gates sipping roadside chai in India?

Have you seen this video of Bill Gates sipping roadside chai in India?

20 tech firms pledge to curb deepfakes during global elections this year

20 tech firms pledge to curb deepfakes during global elections this year

Latest news, opinion: way to multipolar order, editorial: restore electoral democracy, wpl: deepti’s all-round show fashions up warriorz’s thrilling 1-run win over delhi capitals, chess: akshaya emerges winner of a2h selections tournament, telangana’s tarun clinches men’s singles title in aita tennis tournament, telangana weightlifter kumari tejavath sukanya bai honoured, india-1 clinch impressive win over luxembourg at international arena polo championship, looking for jobs deet is here to help you.

No Prev Page

AVSIM Library System Version 2.00 -- 2004-May-01 © 2001-2024 AVSIM Online All Rights Reserved

  • Bahasa Indonesia
  • Slovenščina
  • Science & Tech
  • Russian Kitchen

Check out Moscow’s NEW electric river trams (PHOTOS)

voyager eus2

Water transportation has become another sector for the eco-friendly improvements the Moscow government is implementing. And it means business. On July 15, 2021, on the dock of Moscow’s ‘Zaryadye’ park, mayor Sergey Sobyanin was shown the first model of the upcoming river cruise boat.

voyager eus2

The model of the electrical boat with panoramic windows measures 22 meters in length. The river tram - as Muscovites call them - has a passenger capacity of 42, including two disabled seats. The trams will also get cutting edge info panels, USB docking stations, Wi-Fi, spaces for scooters and bicycles, as well as chairs and desks for working on the go. The boats will be available all year round, according to ‘Mosgortrans’, the regional transport agency. 

voyager eus2

Passengers will be able to pay with their ‘Troika’ public transport card, credit cards or bank cards. 

The main clientele targeted are people living in Moscow’s river districts - the upcoming trams will shorten their travel time in comparison to buses and other transportation by five times, Mosgortrans stated. 

voyager eus2

As the river trams are being rolled out, Moscow docks will also see mini-stations, some of which will also be outfitted with charging docks for speed-charging the boats.  

voyager eus2

Moscow is set to announce the start of the tender for construction and supply in September 2021. The first trams are scheduled to launch in June 2022 on two routes - from Kievskaya Station, through Moscow City, into Fili; and from ZIL to Pechatniki. 

voyager eus2

“Two full-scale routes will be created in 2022-2023, serviced by 20 river trams and a number of river stations. We’ll continue to develop them further if they prove to be popular with the citizens,” the Moscow mayor said .

If using any of Russia Beyond's content, partly or in full, always provide an active hyperlink to the original material.

to our newsletter!

Get the week's best stories straight to your inbox

  • Face it: Moscow Metro to introduce FACIAL payment technology
  • What does Moscow smell like?
  • Riding Moscow’s train of tomorrow (PHOTOS)

voyager eus2

This website uses cookies. Click here to find out more.

X-Plane Reviews

  • Remember me Not recommended on shared computers

Forgot your password?

  • Payware Airports and Scenery Reviews

Airport Review : UUEE Sheremetyevo Airport XP by Drzewiecki Design

Stephen

By Stephen February 27, 2015 in Payware Airports and Scenery Reviews

  • Reply to this topic

Link to comment

Share on other sites, join the conversation.

You can post now and register later. If you have an account, sign in now to post with your account. Note: Your post will require moderator approval before it will be visible.

Guest

×   Pasted as rich text.    Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.    Display as a link instead

×   Your previous content has been restored.    Clear editor

×   You cannot paste images directly. Upload or insert images from URL.

  • Insert image from URL
  • Submit Reply

Recently Browsing    0 members

  • No registered users viewing this page.
  • Existing user? Sign In
  • General Aviation
  • Helicopters
  • Classic Aircraft
  • Plugins/Apps and Simulator Addons
  • Behind The Screen
  • Forums Index
  • Create New...

IMAGES

  1. Voyager-EUS2 de Microsoft es una de las más potentes del mundo

    voyager eus2

  2. Supercomputador Voyager-EUS2 é um dos mais rápidos do mundo

    voyager eus2

  3. Voyager-EUS2 de Microsoft es una de las más potentes del mundo

    voyager eus2

  4. Venerable Voyager 2 Spacecraft Gets a Tune-up 14 billion Kilometers

    voyager eus2

  5. Voyager-EUS2

    voyager eus2

  6. NASA's Voyager Missions Are Equipped With Maps That Could Lead

    voyager eus2

VIDEO

  1. voyager 1

  2. Voyager 1 🛰️ #shorts

  3. Voyager 1

  4. Voyager 2 regained contact!

  5. 25 กุมภาพันธ์ ค.ศ. 2024

  6. Voyager II

COMMENTS

  1. Voyager-EUS2

    Voyager-EUS2 is a supercomputer built by Microsoft Azure, capable of 39.531 petaflops, and is ranked 14th in the TOP500 as of November 2022.

  2. Microsoft now has one of the world's fastest supercomputers ...

    Microsoft's Voyager-EUS2, which runs from its Azure East US 2 region, is notable for several reasons. First, but not surprisingly, it's running a Linux distribution, namely the Ubuntu 18.04 long...

  3. Microsoft Azure supercomputer pushes its way into the top 10 most

    The Voyager-EUS2's architecture is based on an AMD EPYC processor with 48 cores, an NVIDIA A100 GPU, and 80GB of memory. Microsoft Azure now claims five spots in the TOP500 list of the world's...

  4. Microsoft Now Has One of World's Fastest Supercomputers

    Voyager-EUS2, a Microsoft Azure supercomputer, has made it onto the list of the world's 10 fastest machines. With a benchmark speed of 30 petaflops per second (Pflop/s), Microsoft 's...

  5. TOP500: Little Change to HPC Top 10

    November 15, 2021 by staff The newest edition of the twice-yearly TOP500 list of the world's most powerful supercomputers was released today at SC21 in St. Louis — with little change in the Top10. The Microsoft Azure system called Voyager-EUS2 was the only machine to shake up the top spots, claiming No. 10.

  6. Microsoft Azure-Based Machine Ranked No. 10 in ...

    Voyager-EUS2, a Microsoft Azure system installed at Microsoft in the U.S., is the only new system in the TOP10. It achieved 30.05 Pflop/s and is listed at No. 10.

  7. How the partnership with OpenAI has cemented Microsoft's position in

    Among these five, the Voyager-EUS2 became the only new entrant to the Top 10 of the list. This new supercomputer achieves 30.05 Pflop/s and is based on an AMD EPYC processor working with an NVIDIA A100 GPU with 80 GB memory - to which Microsoft credited its success.

  8. Top500: No Exascale, Fugaku Still Reigns, Polaris Debuts at #12

    Voyager-EUS2 was spun up in the Azure East US 2 region. (This system is not affiliated with another Voyager system that was detailed earlier this year.) HPE picks up the next two spots with two new systems making their debut on the list. At number 11 is "SSC-21", made for Samsung Electronics. The Apollo 6500 Gen10 Plus system features AMD ...

  9. Japan's Fugaku, Microsoft's Voyager-EUS2 among world's top 10 ...

    In the 58th annual edition of the TOP500 list, the Microsoft Azure system called Voyager-EUS2 was the only machine to shake up the top spots, claiming No 10. Based on the benchmark known as High...

  10. Highlights

    • Voyager-EUS2, a Microsoft Azure system installed at Microsoft in the U.S., is the only new system in the TOP10. It achieved 30.05 Pflop/s and is listed at No. 10. This architecture is based on an AMD EPYC processor with 48 cores and 2.45GHz working together with an NVIDIA A100 GPU with 80 G.B. memory and utilizing a Mellanox HDR Infiniband ...

  11. Advancing medical and healthcare research through Microsoft

    Drawing on the Voyager-EUS2 supercomputer on Azure, which is the world's fastest public cloud supercomputer, the team logged 800,000 hours of computing time in just 36 hours to optimize the project and bring it to doctors and patients across the United States. With the splitter, doctors could temporarily place two patients on a single ventilator.

  12. Voyager Supercomputer Enters Testbed Phase

    Envisioned as a system to facilitate exploration of new architectures in support of artificial intelligence (AI) in research and engineering, Voyager is a major departure from former NSF systems that have been focused on delivering computing resource in support of traditional applications and programming models.

  13. Microsoft's supercomputer running Linux among 10 fastest machines

    Microsoft's supercomputer running Linux among 10 fastest machines. In the 58th annual edition of the TOP500 list, the Microsoft Azure system called Voyager-EUS2 was the only machine to shake up ...

  14. Voyager-EUS2

    Voyager-EUS2 is a supercomputer built by Microsoft Azure, capable of 39.531 petaflops, and is ranked 14th in the TOP500 as of November 2022. Voyager-EUS2 runs from Microsoft Azure East US 2 region and it utilizes 253,440 cores on AMD EPYC CPUs along with an NVIDIA A100 GPU with 80GB memory and a Mellanox HDR Infiniband for data transfer running on Linux distribution.

  15. Voyager-EUS2

    Home » Microsoft Azure » Voyager-EUS2 - ND96amsr_A100_v4, AMD EPYC 7V12 48C 2.45GHz,… Voyager-EUS2 - ND96amsr_A100_v4, AMD EPYC 7V12 48C 2.45GHz, NVIDIA A100 80GB , Mellanox HDR Infiniband Ranking

  16. Still waiting for Exascale: Japan's Fugaku outperforms all competition

    The Microsoft Azure system called Voyager-EUS2 was the only machine to shake up the top spots, claiming No. 10. Based on an AMD EPYC processor with 48 cores and 2.45GHz working together with an NVIDIA A100 GPU and 80 GB of memory, Voyager-EUS2 also utilizes a Mellanox HDR Infiniband for data transfer.

  17. Microsoft's supercomputer running Linux among world's 10 fastest

    In the 58th annual edition of the TOP500 list, the Microsoft Azure system called Voyager-EUS2 was the only machine to shake up the top spots, claiming No 10. Based on the benchmark known as High Performance Linpack (HPL), the TOP500 list was devised to track the 500 fastest supercomputers in the world. The list has been tracking these machines ...

  18. Fugaku remains world's fastest supercomputer on Top500, behind ...

    The top 10 list did not change much since the last report six months ago, with only one new addition - a Microsoft Azure system called Voyager-EUS2. Voyager, featuring AMD Epyc CPUs and Nvidia A100 GPUs, achieved 30.05 petaflops, making it the tenth most powerful supercomputer in the world.

  19. SC21: Fugaku Still Fastest Supercomputer as Exascale Looms

    As mentioned, the only change in the top 10 was with Azure's Voyager-EUS2, which was spun up in the cloud provider's east region in the United States. It is powered by 253,440 AMD Epyc chips — which come with 48 cores each and speeds of 2.4GHz — and Nvidia A100 GPUs with 80GB of memory. It has a performance of 30.05 plops/s.

  20. AVSIM Library

    AVSIM Library - Search Results. in AVSIM File Library and below. Moscow City X DEMO is a very detailed model of Moscow metropolitan area in Russia, together with lite sceneries of 7 airports (UUWW Vnukovo, UUDD Domodedovo, UUBW Zhukovski, UUMO Ostafyevo, UUBM Myachkovo and UUMB Kubinka), many heliports and thousands of buildings. This product ...

  21. Check out Moscow's NEW electric river trams (PHOTOS)

    On July 15, 2021, on the dock of Moscow's 'Zaryadye' park, mayor Sergey Sobyanin was shown the first model of the upcoming river cruise boat. The model of the electrical boat with panoramic ...

  22. UUEE Sheremetyevo Airport XP by Drzewiecki Design

    Airport Review : UUEE Sheremetyevo Airport XP by Drzewiecki Design UUEE Sheremetyevo Airport XP is a conversion of Drzewiecki Design's UUEE Sheremetyevo Airport X that was created for FSX and P3D. This Moscow scenery is the second released for X-Plane after EETN Tallinn XP (Available at the X-Pla...

  23. [4K] Walking Streets Moscow. Moscow-City

    Walking tour around Moscow-City.Thanks for watching!MY GEAR THAT I USEMinimalist Handheld SetupiPhone 11 128GB https://amzn.to/3zfqbboMic for Street https://...