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Amazon plans to sell Trainium AI chips to third‑party data centers starting late 2027

Amazon’s cloud unit reported its strongest growth in nearly five years, with AWS revenue jumping 39.3% to $46.0 billion and operating margin reaching a record 38.7%. The quarter’s operating income rose 61% to $28.1 billion, while total company revenue hit $201.9 billion, $350 million shy of consensus. CEO Andy Jassy used the earnings call to confirm that Amazon will begin selling its custom…

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Key points

  • Amazon announced it will sell Trainium AI accelerator chips to external data centers starting in late 2027.
  • AWS Q3 2026 revenue rose 39.3% to $46.0 billion, with operating margin hitting a record 38.7%.
  • Trainium chips claim 30%‑40% better price‑performance than comparable Nvidia GPUs, saving customers over $2 billion in Q3.

Trainium, which powers Amazon Bedrock, is claimed to deliver 30%‑40% better price‑performance than comparable Nvidia GPUs, saving customers more than $2 billion in the quarter. Anthropic has pledged roughly five gigawatts of Trainium capacity and OpenAI about two gigawatts. If the merchant‑chip plan proceeds, Amazon would directly challenge Nvidia’s 81%‑90% share of the AI accelerator market. Jassy emphasized that AI workload growth is so rapid that selling chips externally will not cannibalize AWS revenue, noting a $578 billion backlog and a $25 billion‑plus run rate for Trainium/Graviton hardware.

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  1. Amazon plans to sell Trainium AI chips to third‑party data centers starting late 2027this story
Full story from techtimes.com · by Joshua Mitchell · via Search: AmazonOpen source ↗

Amazon Commits to Selling Trainium Chips Outside AWS; Late-2027 Target Set

techtimes.com · 29 October 2026

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This text was published by techtimes.com and written by Joshua Mitchell. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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