Google Cloud’s New TPU v4 ML Hub Packs 9 Exaflops of AI

Almost exactly a year ago, Google launched its Tensor Processing Unit (TPU) v4 chips at Google I/O 2021, promising twice the performance compared to the TPU v3. At the time, Google CEO Sundar Pic

By Oliver Peckham

Intel’s Habana Labs Unveils Gaudi2, Greco AI Processors

At the hybrid Intel Vision event today, Intel’s Habana Labs team launched two major new products: Gaudi2, the second generation of the Gaudi deep learning training processor; and Greco, the suc

By Oliver Peckham

IBM Unveils Expanded Quantum Roadmap; Talks Up ‘Quantum-Centric Supercomputer’

IBM today issued an extensive and detailed expansion of its Quantum Roadmap that calls for developing a new 1386-qubit processor – Kookaburra – built from modularly scaled chips, and deliveri

By John Russell

AI for Science – Early Lessons from NERSC’s Perlmutter Supercomputer

Roughly a year ago the National Energy Research Scientific Computing Center (NERSC) launched Perlmutter, which was hailed at the time as the “world’s fastest AI supercomputer” by Nvidia who

By John Russell

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Argonne Talks AI Accelerators for Covid Research

April 28, 2022

As the pandemic swept across the world, virtually every research supercomputer lit up to support Covid-19 investigations. But even as the world transformed, the Read more…

HPE Launches ML Development System, Swarm Learning Solution

April 27, 2022

In a one-two punch of new HPC-backed AI announcements, Hewlett Packard Enterprise (HPE) today announced its new Machine Learning Development System (MLDS) and S Read more…

Cerebras, TotalEnergies Announce Stencil Algorithm Leap

April 21, 2022

Cerebras Systems has been making waves for a few years with its massive, dinner plate-sized Wafer Scale Engine (WSE) chips, which are aimed at helping organizat Read more…

Nvidia R&D Chief on How AI is Improving Chip Design

April 18, 2022

Getting a glimpse into Nvidia’s R&D has become a regular feature of the spring GTC conference with Bill Dally, chief scientist and senior vice president of research, providing an overview of Nvidia’s R&D organization and a few details on current priorities. This year, Dally focused mostly on AI tools that Nvidia is both developing and using in-house to improve... Read more…

Top US Supercomputer Supports Mental Health Research

April 16, 2022

Over the course of the pandemic, the crucial role of high-performance computing and artificial intelligence in treating disease has become abundantly clear. Even as viral disease sits squarely in supercomputing’s crosshairs, however, mental illness has remained relatively foreign to the computational medicine world. Now, a collaboration between Oak Ridge National... Read more…

Nvidia Dominates MLPerf Inference, Qualcomm also Shines, Where’s Everybody Else?

April 6, 2022

MLCommons today released its latest MLPerf inferencing results, with another strong showing by Nvidia accelerators inside a diverse array of systems. Roughly fo Read more…

ACES ‘Composable’ Supercomputer Gets Ready for Phase One Use

April 4, 2022

Later this spring, ACES – the new ‘composable’ supercomputer being stood up at Texas A&M University – will begin granting Phase One access to early Read more…

At GTC22, HPC and AI Get Edgy

March 30, 2022

From weather sensors and autonomous vehicles to electric grid monitoring and cloud gaming, the world’s edge computing is getting increasingly complex — but the world of HPC hasn’t necessarily caught up to these rapid innovations at the edge. At a panel at Nvidia’s virtual GTC22 (“HPC, AI, and the Edge”), five experts discussed how leading-edge HPC applications... Read more…

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