And so it begins - Amazon Web Services is aggressively courting its own customers to use its Trainium tech rather than Nvidia's GPUs

Date:
Sat, 29 Mar 2025 13:05:00 +0000

Description:
AWS has reportedly offered customers a 25% saving to move from Nvidia
hardware to its own Trainium chips.

FULL STORY ======================================================================AWS urging customers to switch from Nvidia to its cheaper Trainium chip It says its hardware offers the same performance with a 25 percent cost saving Amazon's pitch happened as Nvidia was showcasing its new hardware at GTC 2025

While Nvidia was hosting its annual GTC 2025 conference, showing off new products like the DGX Spark and DGX Station AI supercomputers, Amazon was trying to convince its cloud customers they could save money by moving away from pricey Nvidia hardware and embracing Amazons own AI chips.

The Information claims AWS pitched at least one of its cloud customers to consider renting servers powered by Amazons Trainium chip, claiming they
could enjoy the same performance as Nvidias H100, but at 25 percent of the cost.

Trainium is one of several in-house chips that Amazon has developed
(alongside Graviton and Inferentia), built for training machine learning models in the AWS cloud, and offering a lower-cost alternative to GPU-based systems. Amazons silicon is not intended as a like-for-like replacement for Nvidias more advanced products, but it doesnt need to be. Part of the AI conversation

Amazons offer looks to be part of a broader shift across the cloud market, where providers like AWS and Google are developing their own chips and offering them to customers as a way to avoid the cost - and scarcity - of Nvidias highly sought-after GPUs.

What AWS is doing is smart, Matt Kimball, VP and principal analyst for data compute and storage at Moor Insights & Strategy, told NetworkWorld . It is telling the world that there is a cost-effective alternative that is also performant for AI training needs. It is inserting itself into the AI conversation.

The pitch here, of course, is access. AWS is giving customers the opportunity to experiment with training and inferencing workloads without having to wait months for an Nvidia GPU or pay top dollar for it.

While a 25 percent saving is definitely not to be sniffed at, and something that will no doubt appeal to a number of AWS customers, there are obvious downsides for buyers to consider.

As NetworkWorld notes, Enterprises used to working with Nvidias compute unified device architecture (CUDA) need to think about the cost of switching to a whole new platform like Trainium. Furthermore, Trainium is only
available on AWS, so users can get locked in. You might also like Amazon
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Link to news story: https://www.techradar.com/pro/and-so-it-begins-amazon-web-services-is-aggressi vely-courting-its-own-customers-to-use-its-trainium-tech-rather-than-nvidias-g pus


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