Amazon AWS Offers Free Computing Power To Compete with Nvidia in AI Research

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Amazon AWS Offers Free Computing Power To Compete with Nvidia in AI Research

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In a Rush? Here are the Quick Facts!

  • AWS offers $110 million in credits for AI researchers using Trainium chips.
  • AWS plans to provide 40,000 first-generation Trainium chips for the program.
  • AWS allows customers to directly program Trainium chips.

Amazon Web Services (AWS) has announced a new initiative to offer free computing power to researchers using its custom AI chips, aiming to challenge Nvidia’s dominance in the AI chip market, as first reported by Reuters.

On Tuesday, AWS revealed it will provide up to $110 million in credits for researchers to access its cloud data centers, where they can use Trainium, a chip designed for developing AI models, as reported by Reuters.

This move positions AWS against rivals like Nvidia, Advanced Micro Devices (AMD), and Alphabet’s cloud division, said Reuters.

AWS has partnered with Carnegie Mellon University and the University of California, Berkeley, to kick off the program. The company will make 40,000 first-generation Trainium chips available to participating researchers, sais Reuters.

The initiative comes as AWS faces increased competition from Microsoft in the cloud computing sector, particularly as developers seek out new types of chips for AI workloads. Gadi Hutt, who leads AWS’s AI chip business development, explained that AWS’s strategy differs from Nvidia’s, reports Reuters.

While most AI developers use Nvidia’s Cuda software to program its chips, AWS will provide documentation on its chips’ instruction set architecture, allowing customers to program the Trainium chips directly, as reported by Reuters.

This approach targets large-scale customers who may want to optimize performance across extensive cloud computing resources, said Reuters.

Reuters reports that Hutt emphasized that the ability to tweak the chips directly could lead to significant gains in efficiency and cost reductions, particularly for companies spending large amounts on computing infrastructure.

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