The generative AI phenomenon has spurred growth in many sectors of the tech industry (just ask NVIDIA), including and spectacularly the data center sector. According to a report released today by investment bank and analyst firm TD Cowen, approximately 2.1GW of data center leases have been signed in that last 90 days. Putting that number […]
Report: NVIDIA in Talks to Become Arm Anchor Investor, Intel May Join in
July 17, 2023 by
UK chip design company Arm is in negotiations with NVIDIA to be an anchor investor in Arm’s initial public offering, The Financial Times reported last week. The news comes nearly 18 months after NVIDIA ended its attempted acquisition of Arm from Japanese investment company SoftBank due to regulatory hurdles in several countries and Europe. The […]
GigaIO Introduces 32 GPU Single-Node Supercomputer
July 17, 2023 by
Carlsbad, California, July 13, 2023 – GigaIO, provider of workload-defined infrastructure for AI and technical computing, recently announced that it successfully configured 32 AMD Instinct MI210 accelerators to a single-node server utilizing the company’s FabreX PCIe memory fabric. Available today, the 32-GPU engineered solution, called SuperNODE, is designed to offer a simplified system capable of […]
NVIDIA Unveils GH200 Grace Hopper Superchip Platform with HBM3e Processor
July 8, 2023 by
NVIDIA today at the SIGGRAPH conference announced the NVIDIA GH200 Grace Hopper platform — based on a new Grace Hopper Superchip with the first HBM3e processor, according to NVIDIA — built for accelerated computing and generative AI. Built for large language models, recommender systems and vector databases, the new platform will be available in a range of configurations, according to the company. The dual configuration, which delivers up to 3.5x more memory capacity and 3x more bandwidth than the current generation offering, comprises a single server with 144 Arm Neoverse cores, eight petaflops of AI performance and 282GB of the latest HBM3e memory technology.
22,000 GPUs: Inflection AI Building 22 exaFLOPS Generative AI Cluster
June 30, 2023 by
Palo Alto-based startup Inflection AI yesterday said it is building the world’s largest AI cluster comprised of 22,000 NVIDIA H100 Tensor Core GPUs that will deliver 22 exaFLOPS performance. The company also said it has raised $1.3 billion in a funding round led by Microsoft, Reid Hoffman, Bill Gates, Eric Schmidt and new investor NVIDIA, […]
MLCommons: MLPerf Results Show AI Performance Gains
June 27, 2023 by
Today ML Commons announced new results from two industry-standard MLPerf benchmark suites: Training v3.0, which measures the performance of training machine learning models, and Tiny v1.1, which measures how quickly a trained neural network can process new data for extremely low-power devices in the smallest form factors. To view the results and to find additional […]
Intel Announces Installation of Aurora Blades Is Complete, Expects System to be First to Achieve 2 ExaFLOPS
June 22, 2023 by
Intel today announced the Aurora exascale-class supercomputer at Argonne National Laboratory is now fully equipped with 10,624 compute blades. Putting a stake in the ground, Intel said in its announcement that “later this year, Aurora is expected to be the world’s first supercomputer to achieve a theoretical peak performance of more than 2 exaflops … […]
Eviden in $100M HPC Weather Systems Deal with India’s Earth Sciences Ministry
June 22, 2023 by
Paris – June 22, 2023 – Eviden, the Atos business for advanced computing, today announced it was awarded a $100M contract with NCMRWF, on behalf of the India Ministry of Earth Sciences, to build two AMD- and NVIDIA-powered supercomputers for weather modelling and climate research for IITM and NCMRWF. These systems, based on Eviden’s BullSequana […]
EXAALT-ing Molecular Dynamics to the Power of Exascale
June 21, 2023 by
As part of the Exascale Computing Project (ECP), a collaborative team of scientists, software developers, and hardware integration specialists from across the Department of Energy (DOE) has developed the Exascale Atomistics for Accuracy, Length, and Time (EXAALT) application to bring molecular dynamics (MD) into the exascale era. Danny Perez, a physicist within the Theoretical Division at Los Alamos National Laboratory and the project’s principal investigator says, “We’ve implemented new scalable methods that allow us to access as much of the accuracy, length and time space as possible on exascale machines by rethinking our methods and developing algorithms that go around some of the bottlenecks that limited scaling previously.” Such a capability has potential to revolutionize MD.
GE Aerospace Runs New Engine Architecture Simulations on Frontier Exascale Supercomputer
June 19, 2023 by
GE Aerospace has announced that to support the development of a new open fan jet engine architecture, the organization has run simulations using Frontier, the world’s no. 1 ranked supercomputer, housed at the Department of Energy’s Oak Ridge National Laboratory. To model engine performance and noise levels, GE Aerospace created computational fluid dynamics software to run […]
