…. we welcome special guest and high-powered chip industry analyst Dr. Ian Cutress, Chief Analyst at More Than Moore and host of the popular YouTube ….
@HPCpodcast: Dr. Ian Cutress on the State of Advanced Chips, the GPU Landscape and AI Compute, Global Chip Manufacturing and GTC Expectations
March 13, 2025 by
Fluidstack and Eclairion to Deliver 18K GPU Supercomputer in France
March 5, 2025 by
London-based AI cloud platform Fluidstack and Eclairion, a French maker of modular, high-density data centers, have partnered to build what the companies said is Europe’s largest GPU supercomputer that they will deliver in 2025 for Mistral AI ….
TSMC to Invest $100B in 3 New U.S. Fabs, Packaging, R&D
March 4, 2025 by
TSMC (TWSE: 2330, NYSE: TSM) today announced its intention to expand its investment in advanced semiconductor manufacturing in the United States by an additional $100 billion. Building on the company’s ongoing $65 billion investment in its advanced chip fabs in Phoenix, TSMC’s total investment in the U.S. is expected to reach US$165 billion. The expansion […]
News Bytes Podcast 20250303: GPUs vs. ASICs for AI Compute, DOGE and Fears at U.S. Science Agencies, Cat Qubits for AWS Quantum
March 3, 2025 by
A happy start to March to you! We offer a quick (8:28) run through recent news from the world of HPC-AI, including: GPUs versus ASICs for AI accelerated compute, DOGE-led government layoffs ….
SoftBank, ZutaCore and Foxconn Join on Rack-Integrated Solution with Liquid Cooling for NVIDIA H200s
February 28, 2025 by
SoftBank Corp., ZutaCore and Hon Hai Technology Group (Foxconn) today announced that they implemented ZutaCore’s two-phase direct liquid cooling technology*1 in an AI server using NVIDIA accelerated computing.
AI Data Center Workaround? Startups Pursue Networked Aggregation of Idle GPUs
February 21, 2025 by
Problems associated with GPU deployment – interminable order wait times, high prices and, particularly, dire need – are leading to new GPU access strategies. An article in today’s Wall Street Journal, “Your Gaming PC Could Help Train AI Models,” reports ….
The Essential Guide: Machine Scheduling for AI Workloads on GPUs
March 31, 2020 by Leave a Comment
This white paper by Run:AI (virtualization and acceleration layer for deep learning) addresses the challenges of expensive and limited compute resources and identifies solutions for optimization of resources, applying concepts from the world of virtualization, High-Performance Computing (HPC), and distributed computing to deep learning.
What Makes GPUs, GPU Databases Ideal for BI?
May 20, 2019 by
What makes GPU databases ideal for BI? That’s what a new white paper from SQream DB wants to explain — incorporating real-world use cases to explain how you can turn your existing BI pipeline into “a more capable, next-generation big data analytics system.” Download the new report, courtesy of SQream DB, to learn more about how GPUs and GPU databases can help you organize and benefit from your next big data analytics system.
Accelerating SQL and BI Analytics — Extending Analytical BI with a GPU Database
May 10, 2019 by Leave a Comment
Organizations worldwide are facing the challenge of effectively analyzing their exponentially growing data stores. Download the new white paper from SQream DB that explores the features that make GPU databases ideal for BI and incorporates real-world use-cases from actual customer implementations. It also explains how you can turn your existing BI pipeline into a more capable, next-generation big data analytics system using powerful GPU technology.
Oracle and NVIDIA Bring the Power of the Cloud to the Next Generation of Analytics, Machine Learning and AI
October 10, 2018 by
Oracle (NYSE:ORCL) and NVIDIA (NASDAQ: NVDA) today announced that Oracle is the first public cloud provider to support the NVIDIA HGX-2TM platform on Oracle Cloud Infrastructure, to meet the needs of the next generation of analytics, machine learning and AI.
