MLCommons Launches and Unites 50+ Tech and Academic Leaders in AI, ML

December 3, 2020

SAN FRANCISCO, Dec. 3, 2020 — Today, MLCommons, an open engineering consortium, launches its industry-academic partnership to accelerate machine learning innovation and broaden access to this critical technology for the public good. The non-profit organization initially formed as MLPerf, now boasts a founding board that includes representatives from Alibaba, Facebook AI, Google, Intel, NVIDIA and Professor Vijay Janapa Reddi of Harvard University; and a broad range of more than 50 founding members. The founding membership includes over 15 startups and small companies that focus on semiconductors, systems, and software from across the globe, as well as researchers from universities like U.C. Berkeley, Stanford, and the University of Toronto.

MLCommons will advance development of, and access to, the latest AI and Machine Learning datasets and models, best practices, benchmarks and metrics. An intent is to enable access to machine learning solutions such as computer vision, natural language processing, and speech recognition by as many people, as fast as possible.

“MLCommons has a clear mission – accelerate Machine Learning innovation to ‘raise all boats’ and increase positive impact on society,” said Peter Mattson, President of MLCommons. “We are excited to build on MLPerf and extend its scope and already impressive impact, by bringing together our global partners across industry and academia to develop technologies that benefit everyone.”

“Machine Learning is a young field that needs industry-wide shared infrastructure and understanding,” said David Kanter, Executive Director of MLCommons. “With our members, MLCommons is the first organization that focuses on collective engineering to build that infrastructure. We are thrilled to launch the organization today to establish measurements, datasets, and development practices that will be essential for fairness and transparency across the community.”

Today’s launch of MLCommons in partnership with its founding members will promote global collaboration to build and share best practices – across industry and academia, software and hardware, from nascent startups to the largest companies. For example, MLCube enables researchers and developers to easily share machine learning models to ensure portability and reproducibility across a wide range of infrastructure, so that innovations can be easily adopted and fuel the next wave of technology.

MLCommons will focus on:

  • Benchmarks and Metrics – that deliver transparency and a level playing field for comparing ML systems, software, and solutions, e.g. MLPerf, the industry-standard for machine learning training and inference performance.
  • Datasets and Models – that are publicly available and can form the foundation for new capabilities and AI applications, e.g. People’s Speech, the world’s largest public speech-to-text dataset.
  • Best Practices – e.g. MLCube, a set of common conventions that enables open and frictionless sharing of ML models across different infrastructure and between researchers and developers around the globe.

Benchmarks and Best Practices Align Industry and Research to Drive AI Forward

The opportunities to apply Machine Learning to benefit everyone are endless; from communication, to healthcare, to making driving safer. To foster the ongoing development, implementation, and sharing of Machine Learning and AI technologies, and to measure progress on quality, speed, and reliability, the industry requires a universally agreed upon set of best practices and metrics.

MLCommons is focused on building these tools for the entire ML community. A cornerstone asset within MLCommons is MLPerf, the industry standard ML benchmark suite that measures full system performance for real applications. With MLPerf, MLCommons is promoting industry wide transparency and making like-for-like comparisons possible.

Public Datasets that Accelerate Innovation and Accessibility

Machine Learning and AI require high quality datasets, as they are foundational to the performance of new capabilities. To accelerate innovation in ML, MLCommons is committed to the creation of large-scale, high-quality public datasets that are shared and made accessible to all.

An early example of such an initiative for MLCommons is People’s Speech, the world’s largest public speech-to-text dataset in multiple languages that will enable better speech-based assistance. MLCommons has collected more than 80,000 hours of speech with the goal of democratizing speech technology. With People’s Speech, MLCommons will create opportunities to extend the reach of advanced speech technologies to many more languages and help to offer the benefits of speech assistance to the entire world population rather than confining it to speakers of the most common languages.

About MLCommons

MLCommons is an open engineering consortium with a mission to accelerate machine learning innovation, raise all boats and increase its positive impact on society. The foundation for MLCommons began with the MLPerf benchmark in 2018, which rapidly scaled as a set of industry metrics to measure machine learning performance and promote transparency of machine learning techniques. In collaboration with its 50+ founding member partners – global technology providers, academics and researchers, MLCommons is focused on collaborative engineering work that builds tools for the entire machine learning industry through benchmarks and metrics, public datasets and best practices.

The MLCommons founding members are from leading companies, including Advanced Micro Devices, Inc., Alibaba Co., Ltd., Arm Limited & Its Subsidiaries, Baidu Inc., Cerebras Systems, Centaur Technology, Inc., Cisco Systems, Inc., Ctuning Foundation, Dell Technologies, d-Matrix Corp., Facebook AI, Fujitsu Ltd, FuriosaAI, Inc., Gigabyte Technology Co., LTD., Google LLC, Grai Matter Labs, Graphcore Limited, Groq Inc., Hewlett Packard Enterprise, Horizon Robotics Inc., Inspur, Intel Corporation, Kalray, Landing AI, MediaTek, Microsoft, Myrtle.ai, Neuchips Corporation, Nettrix Information Industry Co., Ltd., Nvidia Corporation, Qualcomm Technologies, Inc., Red Hat, Inc., SambaNova Systems, Samsung Electronics Co., Ltd, Shanghai Enflame Technology Co., Ltd, Syntiant Corp., Tenstorrent Inc., VerifAI Inc., VMind Technologies, Inc., Xilinx, Gungdong Oppo Mobile Telecommunications Corp., Ltd (Zeku Technology (Shanghai) Corp. Ltd.) and researchers from the following institutions: Harvard University, Indiana University, Stanford University, University of California, Berkeley, University of Toronto, and University of York. Additional MLCommons membership at launch includes LSDTech.


Source: MLCommons

Subscribe to HPCwire's Weekly Update!

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

SC21 Was Unlike Any Other — Was That a Good Thing?

December 3, 2021

For a long time, the promised in-person SC21 seemed like an impossible fever dream, the assurances of a prominent physical component persisting across years of canceled conferences, including two virtual ISCs and the virtual SC20. With the advent of the Delta variant, Covid surges in St. Louis and contention over vaccine requirements... Read more…

The Green500’s Crystal Anniversary Sees MN-3 Crystallize Its Winning Streak

December 2, 2021

“This is the 30th Green500,” said Wu Feng, custodian of the Green500 list, at the list’s SC21 birds-of-a-feather session. “You could say 15 years of Green500, which makes it, I guess, the crystal anniversary.” Indeed, HPCwire marked the 15th anniversary of the Green500 – which ranks supercomputers by flops-per-watt, rather than just by flops – earlier this year with... Read more…

AWS Arm-based Graviton3 Instances Now in Preview

December 1, 2021

Three years after unveiling the first generation of its AWS Graviton chip-powered instances in 2018, Amazon Web Services announced that the third generation of the processors – the AWS Graviton3 – will power all-new Amazon Elastic Compute 2 (EC2) C7g instances that are now available in preview. Debuting at the AWS re:Invent 2021... Read more…

Nvidia Dominates Latest MLPerf Results but Competitors Start Speaking Up

December 1, 2021

MLCommons today released its fifth round of MLPerf training benchmark results with Nvidia GPUs again dominating. That said, a few other AI accelerator companies participated and, one of them, Graphcore, even held a separ Read more…

HPC Career Notes: December 2021 Edition

December 1, 2021

In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the high-performance computing community. Whether it’s a promotion, new company hire, or even an accolade, we’ Read more…

AWS Solution Channel

Running a 3.2M vCPU HPC Workload on AWS with YellowDog

Historically, advances in fields such as meteorology, healthcare, and engineering, were achieved through large investments in on-premises computing infrastructure. Upfront capital investment and operational complexity have been the accepted norm of large-scale HPC research. Read more…

At SC21, Experts Ask: Can Fast HPC Be Green?

November 30, 2021

HPC is entering a new era: exascale is (somewhat) officially here, but Moore’s law is ending. Power consumption and other sustainability concerns loom over the enormous systems and chips of this new epoch, for both cost and compliance reasons. Reconciling the need to continue the supercomputer scale-up while reducing HPC’s environmental impacts... Read more…

SC21 Was Unlike Any Other — Was That a Good Thing?

December 3, 2021

For a long time, the promised in-person SC21 seemed like an impossible fever dream, the assurances of a prominent physical component persisting across years of canceled conferences, including two virtual ISCs and the virtual SC20. With the advent of the Delta variant, Covid surges in St. Louis and contention over vaccine requirements... Read more…

The Green500’s Crystal Anniversary Sees MN-3 Crystallize Its Winning Streak

December 2, 2021

“This is the 30th Green500,” said Wu Feng, custodian of the Green500 list, at the list’s SC21 birds-of-a-feather session. “You could say 15 years of Green500, which makes it, I guess, the crystal anniversary.” Indeed, HPCwire marked the 15th anniversary of the Green500 – which ranks supercomputers by flops-per-watt, rather than just by flops – earlier this year with... Read more…

Nvidia Dominates Latest MLPerf Results but Competitors Start Speaking Up

December 1, 2021

MLCommons today released its fifth round of MLPerf training benchmark results with Nvidia GPUs again dominating. That said, a few other AI accelerator companies Read more…

At SC21, Experts Ask: Can Fast HPC Be Green?

November 30, 2021

HPC is entering a new era: exascale is (somewhat) officially here, but Moore’s law is ending. Power consumption and other sustainability concerns loom over the enormous systems and chips of this new epoch, for both cost and compliance reasons. Reconciling the need to continue the supercomputer scale-up while reducing HPC’s environmental impacts... Read more…

Raja Koduri and Satoshi Matsuoka Discuss the Future of HPC at SC21

November 29, 2021

HPCwire's Managing Editor sits down with Intel's Raja Koduri and Riken's Satoshi Matsuoka in St. Louis for an off-the-cuff conversation about their SC21 experience, what comes after exascale and why they are collaborating. Koduri, senior vice president and general manager of Intel's accelerated computing systems and graphics (AXG) group, leads the team... Read more…

Jack Dongarra on SC21, the Top500 and His Retirement Plans

November 29, 2021

HPCwire's Managing Editor sits down with Jack Dongarra, Top500 co-founder and Distinguished Professor at the University of Tennessee, during SC21 in St. Louis to discuss the 2021 Top500 list, the outlook for global exascale computing, and what exactly is going on in that Viking helmet photo. Read more…

SC21: Larry Smarr on The Rise of Supernetwork Data Intensive Computing

November 26, 2021

Larry Smarr, founding director of Calit2 (now Distinguished Professor Emeritus at the University of California San Diego) and the first director of NCSA, is one of the seminal figures in the U.S. supercomputing community. What began as a personal drive, shared by others, to spur the creation of supercomputers in the U.S. for scientific use, later expanded into a... Read more…

Three Chinese Exascale Systems Detailed at SC21: Two Operational and One Delayed

November 24, 2021

Details about two previously rumored Chinese exascale systems came to light during last week’s SC21 proceedings. Asked about these systems during the Top500 media briefing on Monday, Nov. 15, list author and co-founder Jack Dongarra indicated he was aware of some very impressive results, but withheld comment when asked directly if he had... Read more…

IonQ Is First Quantum Startup to Go Public; Will It be First to Deliver Profits?

November 3, 2021

On October 1 of this year, IonQ became the first pure-play quantum computing start-up to go public. At this writing, the stock (NYSE: IONQ) was around $15 and its market capitalization was roughly $2.89 billion. Co-founder and chief scientist Chris Monroe says it was fun to have a few of the company’s roughly 100 employees travel to New York to ring the opening bell of the New York Stock... Read more…

Enter Dojo: Tesla Reveals Design for Modular Supercomputer & D1 Chip

August 20, 2021

Two months ago, Tesla revealed a massive GPU cluster that it said was “roughly the number five supercomputer in the world,” and which was just a precursor to Tesla’s real supercomputing moonshot: the long-rumored, little-detailed Dojo system. Read more…

Esperanto, Silicon in Hand, Champions the Efficiency of Its 1,092-Core RISC-V Chip

August 27, 2021

Esperanto Technologies made waves last December when it announced ET-SoC-1, a new RISC-V-based chip aimed at machine learning that packed nearly 1,100 cores onto a package small enough to fit six times over on a single PCIe card. Now, Esperanto is back, silicon in-hand and taking aim... Read more…

US Closes in on Exascale: Frontier Installation Is Underway

September 29, 2021

At the Advanced Scientific Computing Advisory Committee (ASCAC) meeting, held by Zoom this week (Sept. 29-30), it was revealed that the Frontier supercomputer is currently being installed at Oak Ridge National Laboratory in Oak Ridge, Tenn. The staff at the Oak Ridge Leadership... Read more…

AMD Launches Milan-X CPU with 3D V-Cache and Multichip Instinct MI200 GPU

November 8, 2021

At a virtual event this morning, AMD CEO Lisa Su unveiled the company’s latest and much-anticipated server products: the new Milan-X CPU, which leverages AMD’s new 3D V-Cache technology; and its new Instinct MI200 GPU, which provides up to 220 compute units across two Infinity Fabric-connected dies, delivering an astounding 47.9 peak double-precision teraflops. “We're in a high-performance computing megacycle, driven by the growing need to deploy additional compute performance... Read more…

Intel Reorgs HPC Group, Creates Two ‘Super Compute’ Groups

October 15, 2021

Following on changes made in June that moved Intel’s HPC unit out of the Data Platform Group and into the newly created Accelerated Computing Systems and Graphics (AXG) business unit, led by Raja Koduri, Intel is making further updates to the HPC group and announcing... Read more…

Intel Completes LLVM Adoption; Will End Updates to Classic C/C++ Compilers in Future

August 10, 2021

Intel reported in a blog this week that its adoption of the open source LLVM architecture for Intel’s C/C++ compiler is complete. The transition is part of In Read more…

Killer Instinct: AMD’s Multi-Chip MI200 GPU Readies for a Major Global Debut

October 21, 2021

AMD’s next-generation supercomputer GPU is on its way – and by all appearances, it’s about to make a name for itself. The AMD Radeon Instinct MI200 GPU (a successor to the MI100) will, over the next year, begin to power three massive systems on three continents: the United States’ exascale Frontier system; the European Union’s pre-exascale LUMI system; and Australia’s petascale Setonix system. Read more…

Leading Solution Providers

Contributors

Hot Chips: Here Come the DPUs and IPUs from Arm, Nvidia and Intel

August 25, 2021

The emergence of data processing units (DPU) and infrastructure processing units (IPU) as potentially important pieces in cloud and datacenter architectures was Read more…

D-Wave Embraces Gate-Based Quantum Computing; Charts Path Forward

October 21, 2021

Earlier this month D-Wave Systems, the quantum computing pioneer that has long championed quantum annealing-based quantum computing (and sometimes taken heat fo Read more…

The Latest MLPerf Inference Results: Nvidia GPUs Hold Sway but Here Come CPUs and Intel

September 22, 2021

The latest round of MLPerf inference benchmark (v 1.1) results was released today and Nvidia again dominated, sweeping the top spots in the closed (apples-to-ap Read more…

HPE Wins $2B GreenLake HPC-as-a-Service Deal with NSA

September 1, 2021

In the heated, oft-contentious, government IT space, HPE has won a massive $2 billion contract to provide HPC and AI services to the United States’ National Security Agency (NSA). Following on the heels of the now-canceled $10 billion JEDI contract (reissued as JWCC) and a $10 billion... Read more…

Ahead of ‘Dojo,’ Tesla Reveals Its Massive Precursor Supercomputer

June 22, 2021

In spring 2019, Tesla made cryptic reference to a project called Dojo, a “super-powerful training computer” for video data processing. Then, in summer 2020, Tesla CEO Elon Musk tweeted: “Tesla is developing a [neural network] training computer... Read more…

Three Chinese Exascale Systems Detailed at SC21: Two Operational and One Delayed

November 24, 2021

Details about two previously rumored Chinese exascale systems came to light during last week’s SC21 proceedings. Asked about these systems during the Top500 media briefing on Monday, Nov. 15, list author and co-founder Jack Dongarra indicated he was aware of some very impressive results, but withheld comment when asked directly if he had... Read more…

2021 Gordon Bell Prize Goes to Exascale-Powered Quantum Supremacy Challenge

November 18, 2021

Today at the hybrid virtual/in-person SC21 conference, the organizers announced the winners of the 2021 ACM Gordon Bell Prize: a team of Chinese researchers leveraging the new exascale Sunway system to simulate quantum circuits. The Gordon Bell Prize, which comes with an award of $10,000 courtesy of HPC pioneer Gordon Bell, is awarded annually... Read more…

Quantum Computer Market Headed to $830M in 2024

September 13, 2021

What is one to make of the quantum computing market? Energized (lots of funding) but still chaotic and advancing in unpredictable ways (e.g. competing qubit tec Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire