Cray Awarded $174M Supercomputer Contract From NNSA

July 10, 2014

SEATTLE, Wash., July 10 — Global supercomputer leader Cray Inc. today announced the Company has been awarded one of the largest contracts in Cray’s history — a $174 million deal to provide the National Nuclear Security Administration (NNSA) with a next generation Cray XC supercomputer and a Cray Sonexion storage system.

The next-generation Cray XC supercomputer will provide the NNSA with a world-class supercomputing system to advance the mission for the agency’s stockpile stewardship program. The system, named “Trinity” by the NNSA, is a joint effort between the New Mexico Alliance for Computing at Extreme Scale (ACES) at the Los Alamos National Laboratory and Sandia National Laboratories as part of the NNSA Advanced Simulation and Computing Program (ASC). The new Cray supercomputer will be used to ensure the safety, security and effectiveness of the United States’ nuclear stockpile.

“Both Los Alamos and Sandia have a long history with Cray, going back to the beginning of the supercomputing era and most recently with the Cielo platform,” said Gary Grider, High Performance Computing Division Leader at Los Alamos. “That history continues with the Trinity platform that will provide next generation supercomputing in support of the U. S. nuclear security enterprise.”

“We look forward to working with Cray to create a significant increase in supercomputing capability for key NNSA national security applications,” said Bruce Hendrickson, Sr. Manager of the Extreme-scale Computing group at Sandia National Laboratories. “Trinity will target the largest and most demanding simulations for NNSA.”

The Trinity system will support all three of the NNSA national laboratories, which include Los Alamos National Laboratory, Sandia National Laboratories and Lawrence Livermore National Laboratory. The NNSA’s current supercomputer sited at Los Alamos is a Cray XE6 system named “Cielo.” The new Trinity system is expected to deliver more than eight times greater applications performance than the Cielo system.

“It is a real honor that one of the largest contracts in our Company’s history has come from one of our most important customers,” said Peter Ungaro, president and CEO of Cray. “Our partnership and collaboration with the NNSA has led to the development of groundbreaking supercomputing systems, including the Cray XT3 system that resulted from the Red Storm project. The NNSA has consistently deployed the world’s most advanced supercomputing systems to support their critical mission of ensuring the health of our nation’s nuclear stockpile. We couldn’t be more proud that, once again, the NNSA has placed its trust in Cray to provide them with the computational tools needed to support their important mission.”

Through a phased deployment, Cray will provide the NNSA with a multi-petaflop supercomputing system and a multi-petabyte Cray Sonexion storage system. The Trinity system will be a next-generation version of the Cray XC30 supercomputer, and will include future Intel Xeon processors code-named “Haswell” and future Intel Xeon Phi processors code-named “Knights Landing.” Trinity will be located at Los Alamos National Laboratory.

“NNSA’s selection of the Cray XC supercomputer, powered by future Intel Xeon and Intel Xeon Phi processors, will deliver great application performance for a wide set of codes while the binary compatibility between the processors will allow the NNSA to reuse existing codes,” said Charles Wuischpard, vice president and general manager of Workstations and HPC at Intel. “Intel is excited to build upon our longstanding and successful collaboration with Cray to deliver this vanguard HPC system to the NNSA.”

The Cray Sonexion storage solution at NNSA will include 82 petabytes of capacity and 1.7 terabytes per-second of sustained performance. Cray’s Sonexion storage system combines Cray’s Lustre expertise with a unique design that allows scalability from five gigabytes per-second to more than a terabyte per-second in a single file system — and performs optimally at scale. Management is simplified through an appliance design with all storage components including software, storage and infrastructure.

Previously code-named “Cascade,” the Cray XC30 series of supercomputers is engineered to meet the performance challenges of today’s most demanding high performance computing (HPC) users. The Cray XC30 and Cray XC30-AC supercomputers include: the Aries system interconnect; a Dragonfly network topology that frees applications from locality constraints; innovative cooling systems to lower customers’ total cost of ownership; the next-generation of the scalable, high performance Cray Linux Environment supporting a wide range of applications; Cray’s HPC optimized programming environment, and the ability to handle a wide variety of processor types.

Consisting of products and services, the multi-year, multi-phase contract is valued at more than $174 million in total, with substantial system acceptances expected to occur in both late-2015 and 2016.

About the National Nuclear Security Administration Established by Congress in 2000, NNSA is a semi-autonomous agency within the U.S. Department of Energy responsible for enhancing national security through the military application of nuclear science. NNSA maintains and enhances the safety, security, reliability, and performance of the U.S. nuclear weapons stockpile without nuclear testing; works to reduce global danger from weapons of mass destruction; provides the U.S. Navy with safe and effective nuclear propulsion; and responds to nuclear and radiological emergencies in the U.S. and abroad.

About Cray Inc.

Global supercomputing leader Cray Inc. provides innovative systems and solutions enabling scientists and engineers in industry, academia and government to meet existing and future simulation and analytics challenges. Leveraging 40 years of experience in developing and servicing the world’s most advanced supercomputers, Cray offers a comprehensive portfolio of supercomputers and Big Data storage and analytics solutions delivering unrivaled performance, efficiency and scalability. Cray’s Adaptive Supercomputing vision is focused on delivering innovative next-generation products that integrate diverse processing technologies into a unified architecture, allowing customers to meet the market’s continued demand for realized performance. Go to www.cray.com for more information.

Source: Cray

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!

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…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t 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 of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter 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 pressing needs and hurdles to widespread AI adoption. The sudde 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’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…

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…

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…

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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire