Cerebras CEO Andrew Feldman Sounds Off on Nvidia’s Roadmap and Chiplets 

October 30, 2023

Nvidia, this month, unexpectedly released an updated GPU roadmap with new products every year.   The new GPUs for 2024-2026 came despite customers lining u Read more…

DOE Software Report 2023

DOE Report on The Science of Scientific Software Development and Use

August 21, 2023

Creating good scientific software is hard. Oftentimes, software developed to solve a specific problem in a particular area of research. Many projects often work Read more…

Shutterstock 1493175377

Public Cloud Services Revenues Surpass $500 Billion in 2022: IDC

July 12, 2023

Worldwide revenue for the public cloud services market totaled $545.8 billion in 2022, an increase of 22.9% over 2021, according to new data from the IDC Worldw Read more…

Nvidia Launches Spectrum-X Networking Platform for Generative AI

May 29, 2023

Nvidia launched a new Ethernet-based networking platform – the Nvidia Spectrum-X – that targets generative AI workloads. Based on tight coupling of the Nvi Read more…

ISC Session Explores Ethics in AI and HPC in the Era of LLMs

May 23, 2023

Jay Lofstead from Sandia National Laboratories and Jakob Luettgau from the University of Tennessee gave a highly audience interactive session on Ethics in AI an Read more…

University of Michigan’s ‘Zeus’ Framework Downsizes AI’s Massive Carbon Footprint

April 20, 2023

Famously, a team of researchers from the University of Massachusetts, Amherst, concluded in 2019 that training a single large AI model could emit five times the Read more…

LUMI Supercomputer Powers Generative AI Model for Finnish Language

April 12, 2023

Generative AI is taking the tech world – and the broader world – by storm, but relatively little word has come out of the major supercomputer centers amid t Read more…

MLPerf Inference 3.0 Highlights – Nvidia, Intel, Qualcomm and…ChatGPT

April 5, 2023

MLCommons today released the latest MLPerf Inferencing (v3.0) results for the datacenter and edge. While Nvidia continues to dominate the results – topping al Read more…

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Whitepaper

Penguin Computing Scyld Cloud Central™: A New Cloud-First Approach to HPC and AI Workloads

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QCT POD- An Adaptive Converged Platform for HPC and AI

Data center infrastructure running AI and HPC workloads requires powerful microprocessor chips and the use of CPUs, GPUs, and acceleration chips to carry out compute intensive tasks. AI and HPC processing generate excessive heat which results in higher data center power consumption and additional data center costs.

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