AI & Compute

Amazon Reportedly Eyes $7 Billion Deal for AI Startup Decart

Amazon is pursuing a $7 billion acquisition of AI startup Decart to counter Nvidia, tightening its grip on the AI stack behind AWS.

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Grace Kim
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AI & Compute

Amazon is pursuing a $7 billion acquisition of the AI startup Decart, according to a BigGo Finance report — a deal that would rank among the largest AI startup purchases by a cloud provider and signals Amazon's intent to reduce its dependence on Nvidia.

The reported $7 billion price tag puts Decart in the same tier as the AI industry's most expensive private acquisitions. For Amazon, the transaction would add AI technology it currently cannot get from Nvidia's GPU lineup alone.

Why would Amazon pay $7 billion for Decart?

The reported deal's stated rationale is to counter Nvidia. Amazon, like other hyperscalers, spends billions each year on Nvidia accelerators to power AWS AI services. Owning Decart would give Amazon in-house AI capabilities and leverage in a market where Nvidia sets the terms.

The acquisition track echoes a broader pattern among cloud giants: build or buy AI technology rather than remain purely a customer of chip suppliers. Amazon already designs its own Trainium and Inferentia chips, and a Decart purchase would extend that vertical push into AI software.

What changes if the deal closes?

If completed, the $7 billion transaction would shift competitive dynamics on two fronts. First, it would tighten Amazon's control over the AI stack serving AWS customers. Second, it would intensify the rivalry between hyperscalers and Nvidia, whose GPUs anchor most large-scale AI training today.

The report does not specify a timeline, financing structure, or whether Decart has accepted the offer. Acquisitions of this size typically face regulatory review in the US and EU, and terms can change before any close.

Neither Amazon nor Decart has publicly confirmed the figure cited in the report.

If the deal proceeds, expect Amazon to fold Decart's technology into AWS's AI portfolio — and expect rivals to accelerate their own bids for AI talent and startups in response.

Source: Google News: AI chips

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Grace Kim

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Market editor covering people, launches and day-to-day practice in Semiconductors, chip manufacturing, hardware, AI compute at Chip Dispatch.

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