AI Overheats ?

 

The story of AI chips overheating primarily revolves around Nvidia's latest Blackwell AI chips. These chips, which were launched earlier this year, have been experiencing overheating issues when placed in server configurations designed to support up to 72 units. This overheating problem has raised concerns among major cloud service consumers like Meta Platforms, Google, and Microsoft.

Nvidia has been working to redesign the server racks to address the overheating issues, but these modifications have led to delays in the deployment schedules of their clients. The Blackwell chips are designed to be significantly faster than previous versions, capable of running AI tasks up to 30 times quicker. However, the increased power and performance demands have contributed to the overheating problems.

Nvidia has stated that such engineering iterations are normal and expected, and they are working closely with cloud service providers to resolve the issues. Despite the challenges, Nvidia remains a key player in the AI and cloud computing industry.

Did you know that often in fabrication over 95% of chips may not work, certainly in early stages when pushing technology. A significant amount of development involves looking at the statistics related to device failure, uniformity and reproduction across a wafer. Thankfully there are industrial research scientists and engineers who work on these issues. 

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