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Google Cloud Waives Cloud Exit Fees, Throws Down Gauntlet to AWS and Azure

January 17, 2024

In a bold move by the number three public cloud company yesterday, Google Cloud announced it will no longer charge customers extra to move their data out of its Read more…

Finding Opportunity in the High-Growth ‘AI Market’

December 6, 2023

 “What’s the size of the AI market?” It’s a totally normal question for anyone to ask me. After all, I’m an analyst, and my company, Intersect360 Research, specializes in scalable, high-performance datacenter segments, such as AI, HPC, and Hyperscale. Read more…

Nvidia Wins SC23, But Gets Socked by Microsoft’s AI Chip

November 16, 2023

Nvidia was invisible with a very small booth and limited floor presence, but thanks to its sheer AI dominance, it was a winner at the Supercomputing 2023. Nv Read more…

Top500: Aurora Is in the House, But It Is Still Frontier’s Party

November 13, 2023

The fall 2023 TOP500 list is out and Frontier retains its top spot and is still the only exascale machine. However, five new or upgraded systems have shaken up Read more…

Nvidai GDX

Nvidia Launches AI Factories in DGX Cloud Amid the GPU Squeeze

July 25, 2023

Nvidia is now renting out its homegrown AI supercomputers with its newest GPUs in the cloud for those keen to access its hardware and software packages.  Th Read more…

Q&A with Microsoft’s Nidhi Chappell, an HPCwire Person to Watch in 2023

April 15, 2023

HPCwire presents our interview with Nidhi Chappell, General Manager of Azure HPC, AI, SAP, and Confidential Computing at Microsoft. As an HPCwire 2023 Person to Watch, Chappell shares her insights on the evolving HPC cloud market and key trends, including sustainability. She also discusses her role and responsibilities at Azure, and... 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…

University of Bath Launches Azure-Based ‘Nimbus’ Cloud Supercomputer

October 13, 2022

The University of Bath has launched a new, cloud-based supercomputer, Nimbus, which the university is calling the “central pillar” of its new portfolio of c Read more…

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Whitepaper

How Direct Liquid Cooling Improves Data Center Energy Efficiency

Data centers are experiencing increasing power consumption, space constraints and cooling demands due to the unprecedented computing power required by today’s chips and servers. HVAC cooling systems consume approximately 40% of a data center’s electricity. These systems traditionally use air conditioning, air handling and fans to cool the data center facility and IT equipment, ultimately resulting in high energy consumption and high carbon emissions. Data centers are moving to direct liquid cooled (DLC) systems to improve cooling efficiency thus lowering their PUE, operating expenses (OPEX) and carbon footprint.

This paper describes how CoolIT Systems (CoolIT) meets the need for improved energy efficiency in data centers and includes case studies that show how CoolIT’s DLC solutions improve energy efficiency, increase rack density, lower OPEX, and enable sustainability programs. CoolIT is the global market and innovation leader in scalable DLC solutions for the world’s most demanding computing environments. CoolIT’s end-to-end solutions meet the rising demand in cooling and the rising demand for energy efficiency.

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Sponsored by CoolIT

Whitepaper

Transforming Industrial and Automotive Manufacturing

Divergent Technologies developed a digital production system that can revolutionize automotive and industrial scale manufacturing. Divergent uses new manufacturing solutions and their Divergent Adaptive Production System (DAPS™) software to make vehicle manufacturing more efficient, less costly and decrease manufacturing waste by replacing existing design and production processes.

Divergent initially used on-premises workstations to run HPC simulations but faced challenges because their workstations could not achieve fast enough simulation times. Divergent also needed to free staff from managing the HPC system, CAE integration and IT update tasks.

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Sponsored by TotalCAE

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