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Forget Zettascale, Trouble is Brewing in Scaling Exascale Supercomputers

November 14, 2023

In 2021, Intel famously declared its goal to get to zettascale supercomputing by 2027, or scaling today's Exascale computers by 1,000 times. Moving forward t 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…

Nvidia Delivering New Options for MLPerf and HPC Performance

September 28, 2023

As HPCwire reported recently, the latest MLperf benchmarks are out. Not unsurprisingly, Nvidia was the leader across many categories. The HGX H100 GPU systems, which contain eight H100 GPUs, delivered the highest throughput on every MLPerf inference test in this round. Read more…

MLPerf Releases Latest Inference Results and New Storage Benchmark

September 13, 2023

MLCommons this week issued the results of its latest MLPerf Inference (v3.1) benchmark exercise. Nvidia was again the top performing accelerator, but Intel (Xeo Read more…

Need Some H100 GPUs? Nvidia Is Listening

September 12, 2023

During a recent earnings call, Tesla CEO Elon Musk, the world's richest man, summed up the shortage of Nvidia enterprise GPUs in a few sentences.  "We're us Read more…

Fearing China, US Blocks the Sale of Nvidia GPUs to the Middle East

September 1, 2023

The U.S. has put more curbs that block the sale of certain Nvidia GPUs to the Middle East, largely under fears that the technology will be accessible to China.  The setback for Nvidia was revealed in the company's 10K filing with the U.S. Securities and Exchange Commission. Read more…

Maximizing GPU Performance Amidst Today’s Increasing Shortages

August 16, 2023

The default method for accelerating Deep Learning projects is increasing the size of a GPU cluster. However, the cost is increasingly prohibitive. According to� Read more…

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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…

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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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