Fujitsu Launches New PRIMEHPC Supercomputers Using Fugaku Technology

November 13, 2019

TOKYO, Nov. 13, 2019 — Fujitsu Limited today announced that it will begin global sales(1) of the PRIMEHPC FX1000 and PRIMEHPC FX700 models from the “Fujitsu Supercomputer PRIMEHPC” series, which utilize the technology of supercomputer Fugaku jointly developed by RIKEN and Fujitsu. Shipment is scheduled for March 2020

Both products are equipped with the world’s first CPU A64FX adopting Scalable Vector Extension (SVE) which is an extension of the Armv8-A architecture for supercomputers. Moreover, the A64FX developed by inheriting the high-performance, low-power CPU design that Fujitsu has developed so far, provides high performance per watt. The CPU not only achieves a high memory bandwidth by using HBM2(2), a high-performance die-stacked memory, but also can handle half-precision arithmetic and multiply-add, which are important in such technologies as deep learning. In this way, the new supercomputers are expected to expand its use in the field of AI.

By developing and offering the new products, Fujitsu will contribute to solving social issues, accelerating leading-edge research and strengthen corporate competitiveness.

1. Product Features

With support for the same Tofu interconnect D as Fugaku for maximum scalability in large configurations, and ultra-dense implementation of up to 384 nodes per rack, FX1000 can efficiently build large systems that deliver theoretical computing performance in excess of 1.3 exaflops. This model uses a water-cooling system, aiming for high performance and reduced total energy consumption including in cooling.

FX700 is based on the standard technologies for supercomputer systems, supporting InfiniBand as an interconnect and using open source software (OSS) for HPC middleware. By adopting an air-cooling system and a chassis that can be mounted in a standard server rack, this model is designed to be easily deployed for customers.

2. Product Specifications

Image courtesy of Fujitsu

3. Contributing to the development of the Arm HPC Ecosystem

Fujitsu participates in open communities such as Arm Developer, Linaro and OpenHPC, devoting to develop the Arm HPC ecosystem by bringing the company’s high-performance computing (HPC) technologies and knowledge to the community. In addition, Fujitsu plans to work with application vendors to be available commercial application software for PRIMEHPC, including the crash analysis application LS-DYNA(3), which is widely used worldwide.

By developing and offering high-performance supercomputers, Fujitsu will continue to contribute to the resolution of social issues, the promotion of leading-edge research, and the enhancement of corporate competitiveness. In particular, the company will develop new drugs, realize a safe and secure society through disaster prevention and reduction, while establishing no prototyping(4) in the development of new materials and manufacturing.

“Arm has leveraged our strategic collaboration with Fujitsu and RIKEN to evolve our architecture and advance the innovation and performance of Arm-based processors for HPC, ” said Chris Bergey, Senior Vice President and General Manager, Infrastructure Line of Business, Arm. “We value Fujitsu’s strong commitment to bringing their cutting edge A64FX chips to market with the announcement of the PRIMEHPC FX1000 and FX700 supercomputers, and believe they are industry leading building blocks for exascale systems.”

“Today, Linux is synonymous with supercomputing, providing the scale and flexibility to fuel the next-generation of innovative HPC applications,” said Stefanie Chiras, Vice President and General Manager, Red Hat Enterprise Linux, Red Hat. “We’re pleased to collaborate with Fujitsu in bringing the world’s leading enterprise Linux platform, Red Hat Enterprise Linux, to its new line of supercomputing models, providing a more stable, reliable and supported open platform upon which advancements in data science, AI, scientific research and more can be based.”

  • [1] Begin global sales

    For Japan, FX1000 starts at a minimum of 48 nodes, FX700 starts at a minimum of 2 nodes; for countries outside Japan, FX1000 starts at a minimum of 192 nodes and FX700 starts at a minimum of 128 nodes.

  • [2] The use of HBM2 The second generation of high bandwidth memory devices known as HBMs (High Bandwidth Memory). A64FX realizes a transfer speed much faster than conventional DDR4 by the maximum theoretical memory bandwidth exceeding 1 TB/s by mounting 4 stacks of HBM2 in the CPU package.
  • [3] LS-DYNA Software developed by Livermore Software Technology Corporation and sold by Fujitsu for simulating large deformations of structures using finite element method with explicit time integration. This highly reliable program is the world’s leading software for use in the simulations of car crashworthiness, drop testing, metal/plastics forming, perforations, crack propagation, and failure, among other applications.
  • [4] No prototyping This refers to minimal prototyping in product development by utilizing simulations to shorten development time and reduce costs.

About Fujitsu

Fujitsu is the leading Japanese information and communication technology (ICT) company, offering a full range of technology products, solutions, and services. Approximately 132,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited (Code: 6702) reported consolidated revenues of 4.0 trillion yen (US $36 billion) for the fiscal year ended March 31, 2019. For more information, please see www.fujitsu.com.


Source: Fujitsu

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!

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

March 18, 2024

Nvidia's latest and fastest GPU, code-named Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from its predecessors, including the red-hot H100 and A100 GPUs. 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. While Nvidia may not spring to mind when thinking of the quant Read more…

2024 Winter Classic: Meet the HPE Mentors

March 18, 2024

The latest installment of the 2024 Winter Classic Studio Update Show features our interview with the HPE mentor team who introduced our student teams to the joys (and potential sorrows) of the HPL (LINPACK) and accompany Read more…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the field was normalized for boys in 1969 when the Apollo 11 missi Read more…

Apple Buys DarwinAI Deepening its AI Push According to Report

March 14, 2024

Apple has purchased Canadian AI startup DarwinAI according to a Bloomberg report today. Apparently the deal was done early this year but still hasn’t been publicly announced according to the report. Apple is preparing Read more…

Survey of Rapid Training Methods for Neural Networks

March 14, 2024

Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimization algorithms to iteratively refine their parameters until Read more…

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

March 18, 2024

Nvidia's latest and fastest GPU, code-named 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…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the fi Read more…

Survey of Rapid Training Methods for Neural Networks

March 14, 2024

Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimizat Read more…

PASQAL Issues Roadmap to 10,000 Qubits in 2026 and Fault Tolerance in 2028

March 13, 2024

Paris-based PASQAL, a developer of neutral atom-based quantum computers, yesterday issued a roadmap for delivering systems with 10,000 physical qubits in 2026 a Read more…

India Is an AI Powerhouse Waiting to Happen, but Challenges Await

March 12, 2024

The Indian government is pushing full speed ahead to make the country an attractive technology base, especially in the hot fields of AI and semiconductors, but Read more…

Charles Tahan Exits National Quantum Coordination Office

March 12, 2024

(March 1, 2024) My first official day at the White House Office of Science and Technology Policy (OSTP) was June 15, 2020, during the depths of the COVID-19 loc Read more…

AI Bias In the Spotlight On International Women’s Day

March 11, 2024

What impact does AI bias have on women and girls? What can people do to increase female participation in the AI field? These are some of the questions the tech 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…

Analyst Panel Says Take the Quantum Computing Plunge Now…

November 27, 2023

Should you start exploring quantum computing? Yes, said a panel of analysts convened at Tabor Communications HPC and AI on Wall Street conference earlier this y 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…

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…

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…

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

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…

Training of 1-Trillion Parameter Scientific AI Begins

November 13, 2023

A US national lab has started training a massive AI brain that could ultimately become the must-have computing resource for scientific researchers. Argonne N 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…

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…

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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire