Cray Unveils SV1ex Supercomputer Line

November 7, 2000

NEWS BRIEFS LIVEwire

Dallas, Texas — Cray Inc. (Nasdaq NM: CRAY) today unveiled the Cray SV1ex(tm) supercomputer product line at SC2000, the annual high-performance computing conference held here. The new line strongly enhances the performance and price/performance of the current Cray SV1 series that was named “Supercomputer Product of the Year” by Scientific Computing & Instrumentation magazine in 1999, and recently re-honored for the year 2000.

The air-cooled Cray SV1ex vector systems are slated for availability in the first half of 2001, at U.S. list pricing from $700,000. Publicly announced advance orders include the Arctic Region Supercomputing Center, which also has an option to acquire a next-generation Cray SV2(tm) system; and the Department of Defense Major Shared Resource Center operated by the Naval Oceanographic Office, which plans to upgrade to a Supercluster(tm) of four coupled Cray SV1ex supercomputer systems.

Cray Inc. has installed more than 100 of the current Cray SV1 systems since general availability began in September 1999, with five systems ordered by Ford Motor Company alone. Half of the volume has come from outside the U.S. Cray SV1 innovations including multi-streaming processors and vector caches have enabled breakthrough scientific and engineering research.

“Anti-cancer drug discovery is a field where you need to proceed faster than ‘Moore’s Law,’ said Dr. Fred Hausheer, founder and CEO of San Antonio-based BioNumerik Pharmaceuticals. “This is what Cray has been able to deliver. The Cray SV1 memory bandwidth and shared memory architecture let us do what we need to do, better than any other system.”

“The Cray SV1ex line provides an attractive, binary-compatible upgrade path for the Cray SV1 installed base, as well as for prior-generation Cray J90 and Cray C90 systems,” according to Rene Copeland, vice president of marketing and sales. “Because the enhanced Cray SV1ex will rival or outperform the Cray T90 on a range of important problems at substantially lower price points, we also expect demand from Cray T90 and other high-end vector customers,” Copeland said.

The Cray SV1ex multi-streaming vector processors are 50 percent faster at 7.2 billion calculations per second (gigaflops) each, sustained memory bandwidth effectively doubles to 40 gigabytes per second, cache latency improves by 50 percent, and maximum memory size jumps four-fold to 128 gigabytes-all without affecting industry-leading Cray SV1 reliability (MTTI) averaging more than one year between interrupts.

“The Cray SV1ex is a balanced system,” said Cray Inc. President and CEO Jim Rottsolk. “It’s a workhorse and a racehorse that will deliver more value than any competing system for targeted problems and workloads in industry, government and university-based research. In an era of undifferentiated, ‘vanilla’ architectures that are inefficient at real-world computing, Cray Inc. provides innovative, efficient systems that help customers advance the boundaries of science and engineering.”

“The extreme reliability and attractive price/performance of the Cray SV1ex system will allow us to support some of the biggest, most complex applications of our large user base,” said Dr. Frank Williams, vice chancellor of administrative services at the University of Alaska Fairbanks and director of the Arctic Region Supercomputing Center (ARSC).

Cray SV1ex enhancements will roll out in two phases, Copeland said. Enhancements scheduled for first-quarter 2001 include improved clock speed (450 MHz, 2.2 nanoseconds), improved cache, and field upgradeability for Cray SV1 and Cray J90 systems. Enhancements slated for second-quarter 2001 include a new memory subsystem (approximately 40 gigabytes/second), optional 32 GB or 96 GB SSD, and CPU and memory field upgradeability for Cray SV1 3000-series systems.

Cray SV1ex systems will be available with:

* 8 to 32 processors, 32 gigabytes (GB) of main memory, and 32 to 96 GB of SSD memory. Groups of four 1.8-gigaflop processors can be run as a 7.2-gigaflop multi-streaming processor.

* A powerful suite of clustering tools that allow multiple Cray SV1ex nodes to be combined to form terascale superclusters(tm) of up to 1,024 processors (1.8 teraflops).

* The company’s fifth-generation CMOS architecture (0.12 micron copper), SDRAM DIMM and FPGA (field-programmable gate array) technologies.

* The Cray library of supercomputer applications and tenth-generation UNICOS (UNIX) operating system.

* The ability to run Cray SV1, Cray J90, Cray C90 codes, including autotasked codes, without modification or recompiling.

* Support for standard PVM, MPI, SHMEM, Autotasking, OpenMP programming models.

The Cray SV1ex product line will be succeeded by the Cray SV2 supercomputer series due out in the second half of 2002.

For more information on the Cray SV1ex series, visit www.cray.com or contact your local Cray sales representative.

About Cray Inc.

Cray Inc. designs, builds and sells high-performance vector processor and general-purpose parallel computer systems. The company has leading edge technology, multiple product platforms, nearly 900 employees, a $2 billion installed base of over 600 computers worldwide, major manufacturing and service capabilities and extensive global customer relationships. Cray believes its Multithreaded Architecture and Cray T3E(tm) and Cray SV(tm) series systems together represent the future of supercomputing. Go to http://www.cray.com for more information on the company.

============================================================

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!

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…

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…

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…

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…

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…

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