SGI Awarded $27M Systems Contract with the ARL Defense Supercomputing Resource Center

November 1, 2016

MILPITAS, Calif., Nov. 1 — SGI (NASDAQ: SGI), a global leader in high-performance solutions for compute, data analytics, and data management, announced that the United States Department of Defense (DoD) has selected SGI ICE XA for two of its Army Research Laboratory Defense Supercomputing Resource Center (ARL DSRC) systems. The upgrades are part of a technology insertion, known as TI-16, for their High Performance Computing Modernization Program (HPCMP).

HPCMP delivers world-class commercial, high-end, high-performance computational capabilities to DoD’s Research, Development, Test and Evaluation (RDT&E) community through its five DoD Supercomputing Resource Centers (DSRCs).

With HPC technology, DoD scientists and engineers can utilize physics-based simulations to achieve better understanding of a variety of phenomena affecting national defense. The upgraded systems also allow quick data searches that are generated from field tests across a wide spectrum of military operations. Powerful supercomputers help with data quality, increasing situational awareness, and advancing soldier performance with live and virtual data analytics. The new SGI systems will be leveraged to scale algorithms, increase real-time experimental data processing and methods for live-virtual simulations.

The agreement for ARL DSRC system #1 values at $8.9 million, and ARL DSRC system #2 at $17.6 million.

SGI was also awarded four annual maintenance options over the next four years, allowing DoD to leverage its world-class professional services available 24/7. The work for both systems will be performed at Aberdeen Proving Ground, Maryland, with an estimated completion date of April 24, 2021. Army Corps of Engineers, Huntsville, Alabama, has been delegated contracting authority for these agreements.

Technical Information

  • ARL DSRC system #1 will deploy SGI ICE XA with quad node blade and E-Cell technology, utilizing the 22-core Intel Xeon processor E5-2699 v4 to achieve peak compute power
  • ARL DSRC system #1 will be comprised of 33,088 compute cores offering 1.16 Petaflops capability, a Mellanox Enhanced Data Rate (EDR) as a 1:1 non-blocking Fat-Tree with 3.4 PB usable storage based on SGI InfiniteStorage 5600i technology
  • ARL DSRC system #2 will deploy SGI ICE XA comprised of 73,920 Intel Xeon processor E5-2698 v4 compute cores, offering 2.6 Petaflops capability, a Mellanox Enhanced Data Rate (EDR)-based 1:1 non-blocking Fat-Tree and 11.8 PB usable storage based on SGI InfiniteStorage 5600i technology

“We’re excited to partner with SGI for our TI-16 DoD program, and have full confidence in the system’s ability to provide excellent performance,” said Dr. Raju Namburu, director of ARL DSRC. “Choosing the right HPC partners is crucial, as we rely on supercomputing and large-scale analytics and predictive sciences to provide the competitive edge we need to maintain our position as the nation’s premier laboratory for land forces.” “We believe that the two SGI systems will bring a unique capability to solve DoD’s most challenging problems” said Thomas Kendall, technical director of ARL DSRC. “The combination of a non-blocking, fat-tree topology, based on the recently available 100 Gbps EDR technology and the newest server CPU technology will enable a wide range of applications to consistently achieve high levels of performance.”

“DoD’s annual, recurring investment in HPC is a testament to its belief in the power and strategic value of supercomputing,” said Jorge Titinger, president and CEO, SGI. “Expanding our partnership with ARL DSCR is the result of our record of exceptional HPC performance with previous DoD systems. We have had a healthy long-standing relationship with HPCMP over the last two decades, and we remain committed to delivering to DoD new innovative technology and the highest level of service and management. We look forward to continuing our partnership with one of the most important institutions in our nation.”

About SGI

SGI is a global leader in high-performance solutions for compute, data analytics, and data management that enable customers to accelerate time to discovery, innovation, and profitability. Visit sgi.com for more information.


Source: SGI

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!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen 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…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

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…

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…

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…

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…

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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer 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…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire