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
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.
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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 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’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…
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…
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…
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…
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…
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…
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 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…
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…
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…
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…
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…
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 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…
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…
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 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…
This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish.AcceptRejectRead More
Privacy & Cookies Policy
Privacy Overview
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.