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!

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 pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Quantinuum Reports 99.9% 2-Qubit Gate Fidelity, Caps Eventful 2 Months

April 16, 2024

March and April have been good months for Quantinuum, which today released a blog announcing the ion trap quantum computer specialist has achieved a 99.9% (three nines) two-qubit gate fidelity on its H1 system. The lates Read more…

Mystery Solved: Intel’s Former HPC Chief Now Running Software Engineering Group 

April 15, 2024

Last year, Jeff McVeigh, Intel's readily available leader of the high-performance computing group, suddenly went silent, with no interviews granted or appearances at press conferences.  It led to questions -- what's 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 Institute for Human-Centered AI (HAI) put out a yearly report to t Read more…

Crossing the Quantum Threshold: The Path to 10,000 Qubits

April 15, 2024

Editor’s Note: Why do qubit count and quality matter? What’s the difference between physical qubits and logical qubits? Quantum computer vendors toss these terms and numbers around as indicators of the strengths of t 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 are available off the shelf, a concern raised at many recent 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’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Computational Chemistry Needs To Be Sustainable, Too

April 8, 2024

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That's the message behind a recent Read more…

Hyperion Research: Eleven HPC Predictions for 2024

April 4, 2024

HPCwire is happy to announce a new series with Hyperion Research  - a fact-based market research firm focusing on the HPC market. In addition to providing mark 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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

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