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Special guest Ryan Smith joins Shahin and Doug to discuss the vexing challenges of implementing HPC class AI systems in a managed services model, the landmines organizations need to avoid, and the opportunities for seizing success. A 25 year veteran of the technology industry, Ryan is Director of Managed Services at Penguin Solutions. He was previously a Director of Solution Services at Stratus, the continuous availability (fault-tolerant) systems company.
This episode is part of the @HPCpodcasts Industry View feature, which takes on major issues in the world of HPC, AI, and other advanced technologies through the lens of industry leaders.
The post @HPCpodcast-94: Penguin Solutions on HPC-AI Managed Services – Industry View appeared first on OrionX.net.
– Intel CEO Pat Gelsinger retires
The post HPC News Bytes – 20241209 appeared first on OrionX.net.
– Do LLMs understand?
The post HPC News Bytes – 20241202 appeared first on OrionX.net.
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When special guest Sam Brealey joined us in episode 38, as we discuss marketing strategy and execution, specially for small businesses, but we didn’t have enough time to go deeper into marketing for the small business. And there were several requests to do so. So we are delighted to have Sam again to have a hearty discussion of what it takes to market for small and medium sized businesses/enterprises (SMB/SME). We end with a discussion of the article Can I have your attention please?, by Sam Brealey and Max Stricker, originally published in WARC in February 2024. And yes, we also have the Cartoons of “the week”. Join us!
The post Mktg_Podcast-49: Sam Brealey on Small Business Marketing appeared first on OrionX.net.
– Supercomputing show SC24 moves closer to mainstream
The post HPC News Bytes – 20241125 appeared first on OrionX.net.
SC24 is off to a great start with over 17,000 attendees, 480 exhibitors from 29 countries, and new TOP500 list that features a new champion! “The new El Capitan system at the Lawrence Livermore National Laboratory in California, U.S.A., has debuted as the most powerful system on the list with an HPL score of 1.742 EFlop/s. It has 11,039,616 combined CPU and GPU cores and is based on AMD 4th generation EPYC processors with 24 cores at 1.8GHz and AMD Instinct MI300A accelerators. El Capitan relies on a Cray Slingshot 11 network for data transfer and achieves an energy efficiency of 58.89 Gigaflops/watt. This power efficiency rating helped El Capitan achieve No. 18 on the GREEN500 list as well.”
Join Shahin and Doug as they analyze and discuss the new list. As usual, they go over notable additions, performance efficiency, power efficiency in the Green500 list, the difficult HPCG benchmark that usually sets the lower bound of system performance.
The post @HPCpodcast-93: TOP500 at SC24 Conference appeared first on OrionX.net.
– Supercocmputing-24 conference starts today
The post HPC News Bytes – 20241118 appeared first on OrionX.net.
Special guest and a leading light of the HPC industry, Prof. Torsten Hoefler of ETH-Zurich joins Shahin and Doug in a lively discussion about the Age of Computation, Ultra Ethernet, datacenter power and cooling, the creative process for AI, model certainty for AI, AI and emergent behavior, and other HPC topics.
Torsten is a professor at ETH Zurich, where he directs the Scalable Parallel Computing Laboratory. He is also the Chief Architect for machine learning at the Swiss National Supercomputing Center, as well as a consultant for Microsoft on large scale AI and networking.
The post @HPCpodcast-92: Torsten Hoefler on Age of Computation appeared first on OrionX.net.
– TSMC revenue jump
The post HPC News Bytes – 20241111 appeared first on OrionX.net.
Special guest David Kanter of ML Commons joins Shahin Khan and Doug Black to discuss AI performance metrics. AI is everywhere and destined to run on everything from devices to big systems. So, in addition to the well-known MLPerf benchmark for AI training, ML Commons provides a growing suite of benchmarks and data sets for other aspects of AI such as inference, storage, and safety. David is a founder, board member of ML Commons and the head of MLPerf benchmarks. David has more than 16 years of experience in semiconductors computing and machine learning. He was a founder of a microprocessor and compiler startup. He was also at Astor Data Systems and has consulted for NVIDIA, Intel, KLA, Applied Materials, Qualcomm, Microsoft, and others.
The post @HPCpodcast-91: David Kanter of ML Commons on AI Performance Measurement appeared first on OrionX.net.
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