The IBM-Meta AI Alliance Promotes Safe and Open AI Progress

IBM and Meta have co-launched a massive industry-academic-government alliance to shepherd AI development. The new group has united under the AI Alliance banner to promote responsible innovation i

By Doug Eadline

ChatGPT Friendly Programming Languages
(hello-world.llm)

 Using OpenAI's ChatGPT to write code is an alluring goal. Describing "what to" solve, but not "how to solve" would be a huge breakthrough in computer programming. Alas, we are nowhere near this

By Doug Eadline

Give a Little (on Tuesday), Get a Lot

HPC is built on open source. While building HPC systems with "open plumbing" has enormous advantages, there can also be some challenges. As illustrated in the classic XKCD comic, the entire depe

By Doug Eadline

Material Simulation with Quantum Accuracy Wins 2023 ACM Gordon Bell Prize

Accurately calculating interactions among electrons has been a significant obstacle to reliable material exploration and design through computer modeling. Recently, a University of Michigan-led i

By Connor Titsworth

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HPC Hardware Contracts: Backlash as Security Ignored in Performance Pursuit

November 16, 2023

The security of supercomputers has been grossly ignored in the pursuit of horsepower. Still, there is a growing realization that security is needed to prevent b Read more…

Public and Private Sectors Team up to Solve HPC Software Problem 

November 15, 2023

Software implementation in high-performance computing is getting more fragmented as organizations opt for tools in their walled garden environments.  Howeve Read more…

Nvidia Showcases Domain-specific LLM for Chip Design at ICCAD

October 31, 2023

This week Nvidia released a paper demonstrating how generative AI can be used in semiconductor design. Nvidia chief scientist Bill Dally announced the new paper Read more…

AI-Accelerated Technology Investment Guidelines for HPC

October 25, 2023

When planning an AI or HPC investment, applications are where the rubber meets the road and ultimately determine the benefits of any hardware investment. In add 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_1846345465

HPC User Forum: Sustainability at TACC Points to Software

October 3, 2023

Recently, Dan Stanzione, Executive Director, TACC and Associate Vice President for Research, UT-Austin, gave a presentation on HPC sustainability at the Fall 20 Read more…

Rethinking ‘Open’ for AI

September 27, 2023

What does “open” mean in the context of AI? Must we accept hidden layers? Do copyrights and patents still hold sway? And do consumers have the right to opt Read more…

Aurora Image

Leveraging Machine Learning in Dark Matter Research for the Aurora Exascale System 

September 25, 2023

Scientists have unlocked many secrets about particle interactions at atomic and subatomic levels. However, one mystery that has eluded researchers is dark matte Read more…

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Whitepaper

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

Making the Most of Today’s Cloud-First Approach to Running HPC and AI Workloads With Penguin Scyld Cloud Central™

Bursting to cloud has long been used to complement on-premises HPC capacity to meet variable compute demands. But in today’s age of cloud, many workloads start on the cloud with little IT or corporate oversight. What is needed is a way to operationalize the use of these cloud resources so that users get the compute power they need when they need it, but with constraints that take costs and the efficient use of existing compute power into account. Download this special report to learn more about this topic.

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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.

Data centers traditionally use air cooling solutions including heatsinks and fans that may not be able to reduce energy consumption while maintaining infrastructure performance for AI and HPC workloads. Liquid cooled systems will be increasingly replacing air cooled solutions for data centers running HPC and AI workloads to meet heat and performance needs.

QCT worked with Intel to develop the QCT QoolRack, a rack-level direct-to-chip cooling solution which meets data center needs with impressive cooling power savings per rack over air cooled solutions, and reduces data centers’ carbon footprint with QCT QoolRack smart management.

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