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Amazon’s Jassy says broader enterprise AI adoption needs inference costs cut to a tenth

Amazon CEO Andy Jassy says AI inference costs must fall to roughly one-tenth of current levels for broad adoption in enterprise software. He described everyday business software as an underdeveloped market, with costs limiting adoption. Amazon hopes its Trainium chips can provide a lower-cost alternative, and Jassy said its chip business is helping reduce inference expenses.

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Amazon’s Jassy says broader enterprise AI adoption needs inference costs cut to a tenth
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What to know

  • 01

    The report says Trainium offers about 30%–40% better price-performance than comparable processors.

  • 02

    Amazon previously disclosed more than $225 billion in future revenue commitments for Trainium, including agreements with Anthropic and OpenAI.

Why it matters

Jassy’s comments highlight inference costs as a constraint on enterprise software adoption of AI and a problem Amazon is seeking to address through its own chips.

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