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…

Mining Companies Consider Repurposing Idle GPUs to HPC and AI Markets

July 6, 2023

Crypto companies that loaded up on GPUs in data centers for coin mining are now investigating whether to sell or repurpose the idle hardware to the exploding ar Read more…

FPGA Development Brings AMD and Intel Competition to the Forefront

June 28, 2023

AMD has maintained steady progress in the Field Programmable Gate Array (FPGA) market, gaining market share where Intel has faltered. While Intel is plannin Read more…

Faster and Faster: AMD Event Announces Innovations Across the Datacenter and Cloud

June 21, 2023

It was established right out of the starting gate: AMD’s Data Center and AI Technology Premiere would be all about speed. Held on June 13 atop Nob Hill at the Read more…

How AMD Used Its Chiplet Advantage to Design MI300X GPU and Bergamo CPU

June 14, 2023

Swap out a few silicon parts, and voila, you have a spanking new chip that did not take much work to design. That is how AMD's CEO, Lisa Su described the company making of its new MI300X GPU and its 128-core Epyc chip code-named Bergamo, which is targeted at dense server chips. Read more…

AMD Has a GPU to Rival Nvidia’s H100

June 13, 2023

If you have not been lucky enough to find Nvidia’s prized H100 GPU in the cloud or off the shelf, AMD has a challenger waiting in the wings that could be worth considering. AMD announced the new MI300X GPU, which is targeted at AI and scientific computing. Read more…

AMD Revenues Drop, but Company Expects Datacenter Wins Later in 2023

May 2, 2023

Today, AMD reported its financial results for Q1 2023. The headline: revenues ($5.4 billion) are down by 9.2% year-over-year, just barely beating expectations a Read more…

2023 Winter Classic Finale – VIDEO RECAP

April 24, 2023

February 14th to April 15th – it’s been a long run for the 2023 Winter Classic Student Cluster Competition. 63 students from HBCU and HSI schools learned ha 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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