Penguin Computing to Deliver Magma Supercomputer to Lawrence Livermore National Laboratory

November 19, 2019

FREMONT, Calif., Nov. 19, 2019 — Penguin Computing, a leader in high- performance computing (HPC), artificial intelligence (AI), and enterprise data center solutions and services, today announced that it, along with partners Intel and CoolIT, will deliver the Magma Supercomputer to Lawrence Livermore National Laboratory. The Magma system was procured through the Commodity Technology Systems (CTS-1) contract with the National Nuclear Security Administration (NNSA) and is one of the first deployments of Intel Xeon Platinum 9200 series processors with support from CoolIT Systems complete direct liquid cooling and Omni-Path interconnect.

Magma is based on Relion XE2142eAP compute servers. Magma’s 752 compute nodes are each configured with dual Xeon Platinum 9242 processors, with a theoretical peak of over 7 TFLOPs and 293TB of system memory calculating an RPeak of 5.313 PFLOPS. CoolIT Systems provides the complete direct liquid cooling solution for Magma through a blind-mate coldplate loop design which captures +85% of the server heat through CPU, DIMM and VR coldplates, allowing the servers to operate at maximum efficiency. The CoolIT subfloor piping, in-rack manifolds and row-based CHx750 CDUs deliver the required heat exchanging capability and coolant flow to support all racks.

Funded through NNSA’s Advanced Simulation & Computing (ASC) program, Magma will support NNSA’s Life Extension Program and efforts critical to ensuring the safety, security and reliability of the nation’s nuclear weapons in the absence of underground testing.

“The convergence of HPC and AI is here today. We are excited to deliver Magma, an HPC system that is enhanced by artificial intelligence technology,” said William Wu, Vice President of Hardware Products at Penguin Computing. “We are seeing artificial intelligence permeate every industry and, specifically in HPC, we can now deliver a converged platform that allows AI to accelerate HPC modeling for our data scientist customers.”

“We continue designing new, leading edge solutions with our partners for the DOE NNSA’s CTS-1 contract. Magma is another example of a great shared effort resulting in an HPC cluster designed and built to meet new demanding workloads. We anticipate this system to qualify for the November 2019 Top500 HPC list” said Ken Gudenrath, DOE Director at Penguin Computing.

“Penguin Computing is committed to ’Expanding the world’s vision of what is possible!’ The Magma cluster brings a new level of synergy amongst our clients, partners and Penguin Computing. One of our primary goals with Magma is to bring new mission technologies and capabilities to Livermore National Labs and it’s user communities.” said Sid Mair, President of Penguin Computing.

“Magma is a major leap forward in HPC and AI convergence that could only be achieved with trusted engineering collaboration between Lawrence Livermore National Lab, Penguin Computing, and Intel,” said Phil Harris, VP and GM of Intel’s Datacenter Solutions Group. “With up to 96 cores per node, massive memory bandwidth, and integrated AI acceleration with Intel DL Boost technology, the Intel Xeon Platinum 9200 processor will provide a powerful foundation for Lawrence Livermore National Lab to enhance its ability to achieve its mission goals.”

“The Commodity Technology System efforts at NNSA represent a very cost-effective way to manage our workload at each of our three laboratories,” said Mark Anderson, Director for NNSA’s Office of Advanced Simulation and Computing and Institutional Research and Development Programs. “In this model, commodity-based systems take on the bulk of day-to-day computing, leaving the larger advanced technology capability systems available for only the most demanding problems across the Tri-Lab community. This is just an example of the sophisticated approach NNSA is taking to manage demanding workloads in the most efficient manner for the country.”

“Magma represents a timely addition to our CTS machines in order to address the significant surge in demand coming from NNSA’s major Life Extension Program,” said Michel McCoy, LLNL’s Advanced Simulation & Computing program director. “It is essential to have available a supply chain that can respond essentially instantly, delivering state-of-the-art technology in just a few months to meet pressing national security needs. We look forward to moving this system into production as fast as possible.”

Under the CTS-1 contract, Penguin has delivered more than 22 petaflops of computing capability to support the ASC program at the NNSA Tri-Labs of Lawrence Livermore, Los Alamos and Sandia national laboratories.

For more information about the Relion XE2142eAP server and Intel Xeon Platinum 9200 processors, or to speak with a Penguin Computing representative, please visit us at www.penguincomputing.com.

About Penguin Computing

For 20 years, the Penguin Computing team of artificial intelligence (AI), engineering, and computer science experts has reimagined how startups, Fortune 500, government, and academic organizations solve complex technology challenges and achieve their organizational goals. Penguin Computing is focused on open platforms, including Open Compute Project (OCP) systems. We specialize in innovative on-premise high-performance computing (HPC), bare metal HPC in the cloud, AI, and storage technologies coupled with leading-edge design, implementation, hosting, and managed services including sys-admin and storage-as-a-service, and highly rated customer support. More information at www.penguincomputing.com.

About CoolIT

CoolIT Systems, Inc. is the world leader in energy efficient liquid cooling technology for the Data Center, Server and Desktop markets. CoolIT’s Rack DLC platform is a modular, rack-based, advanced cooling solution that allows for dramatic increases in rack densities, component performance, and power efficiencies. The technology can be deployed with any server and in any rack making it a truly flexible solution. For more information about CoolIT Systems and its technology, visit www.coolitsystems.com.

About Lawrence Livermore National Laboratory

Founded in 1952, Lawrence Livermore National Laboratory provides solutions to our nation’s most important national security challenges through innovative science, engineering and technology. Lawrence Livermore National Laboratory is managed by Lawrence Livermore National Security, LLC for the U.S. Department of Energy’s National Nuclear Security Administration.


Source: Penguin Computing

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!

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

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…

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…

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…

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…

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…

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…

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…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E 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…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire