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Amazon in reported $7 billion talks to buy AI startup Decart

The Wall Street Journal reported on 11 October 2026 that Amazon was in talks to acquire AI startup Decart for about $7 billion, nearly double Decart's May valuation of just under $4 billion.

AI & modelsAnalysisGrace OkonkwoPublished: 5 November 20264 min readSources 23
Amazon in reported $7 billion talks to buy AI startup Decart

People familiar with the matter said a deal could be signed soon unless the talks collapsed or another bidder emerged, the Journal reported. Amazon and Decart did not confirm the report, and Reuters said it could not immediately verify the details.

Israeli outlet Calcalist reported earlier in October that Decart was in advanced talks to be acquired by a major technology company, according to the Economic Times.

Why AWS wants Decart

Decart's DOS is a software layer that helps AI models run across Nvidia GPUs, Google TPUs and Amazon's Trainium chips, according to CryptoBriefing. A developer can move a model from one processor to another, which pulls more work from hardware already in hand, IJR reported. For AWS, the software could make Trainium easier for customers to use as Amazon tries to challenge Nvidia, Business Standard reported.

AWS gave Decart early access to Trainium3 in 2025 after officials met the founders and came away impressed, the Journal reported. Trainium is Amazon's custom AI training chip, introduced in 2020. Sedaily reported that AWS customers using Trainium include OpenAI, Anthropic and Uber, that Amazon said in April revenue commitments tied to Trainium had surpassed $225 billion, and that Amazon is working to sell the chips directly into other companies' data centers.

Decart says DOS delivers more than 1,600 tokens per second for agentic workloads, against an industry average near 200, according to IJR. The company says that is more than eight times ordinary performance on the same class of work. A token is a small unit of text or data that a model processes; agentic workloads are multi-step jobs in which software agents plan, call tools and act without constant human direction.

Decart also sells Lucy, a model for real-time video editing, and Oasis, which generates simulated environments for training robots and autonomous driving systems, according to IJR.

Earlier suitors

Amazon is not the first suitor. IJR reported that Nvidia moved first, reached exclusive negotiations and came close to a purchase before those talks collapsed, and that the founders had already chosen Anthropic's offer over Nvidia's higher bid. Anthropic became the preferred bidder and spent weeks trading drafts of an acquisition agreement.

Business Standard and Israel National News, citing Bloomberg, reported that Anthropic explored a deal in August 2026 at about $6 billion and walked away in September after completing due diligence. Some reports placed that earlier figure as high as $7 billion, IJR reported. Neither Anthropic nor Decart has said publicly why the deal fell apart, StartupFortune reported.

Amazon has been a major backer of Anthropic, CryptoBriefing noted, so Anthropic's pass did not keep Amazon from pursuing the same target.

Valuation and funding

Decart was founded in 2023 by Israeli engineers Dean and Orian Leitersdorf, who are brothers, and Moshe Shalev, according to Israel National News. Business Standard reported it is based in San Francisco.

Decart raised $300 million in May 2026 in a round led by Radical Ventures, with Nvidia, Adobe and Toyota among backers, StartupFortune and BusinessWorld reported. The round valued the company at nearly $4 billion, according to PitchBook data cited by Israel National News. The company employs more than 60 people, CryptoBriefing reported.

Funding estimates vary: IJR and CryptoBriefing reported about $450 million raised in total, while PitchBook data cited by Business Standard put it at more than $400 million. Investors include Sequoia Capital, Benchmark and Radical Ventures, according to PitchBook.

For scale, Amazon bought MGM for $6.5 billion in 2022, according to Sedaily. Business Standard said a $7 billion Decart deal would rank among Amazon's largest acquisitions.

What remains open

No formal agreement has been reached, Bloomberg reported. CryptoBriefing noted that talks reportedly progressing are not the same as a signed agreement. StartupFortune said acquisition talks at this size routinely stall or get repriced.

CryptoBriefing reported that developers running DOS on Nvidia or Google hardware will want to know whether cross-platform support stays a priority under Amazon ownership or tilts toward Trainium over time. It noted an obvious tension: a neutral optimization layer becomes a little less neutral once a chipmaker owns it.

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Sources

23
  1. 01Amazon is in talks to buy AI startup Decart for about $7 billionEN
  2. 02Amazon in talks to acquire Decart in reported $7 billion dealEN
  3. 03Amazon in talks to acquire AI startup Decart for about $7 billionEN
  4. 04Report: Amazon in talks to acquire Israeli AI startup DecartEN
  5. 05Amazon eyes Decart acquisition at $7 billion as AI chip race intensifiesEN
  6. 06Amazon In Talks To Acquire AI Startup Decart For $7 BnEN
  7. 07Amazon in Talks to Buy AI Chip-Portability Startup Decart for $7 BillionEN
  8. 08Amazon in talks to buy AI startup Decart for around $7 billion: ReportEN
  9. 09Dept of Justice probes Nvidia over $13B Hugging Face acquisitionEN
  10. 10Google Plans to Spend $17 Billion on Wyoming Data CenterEN
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  12. 12Chinese regulators block SoftBank’s $5.4B acquisition of ABB RoboticsEN
  13. 13Apple Set to Raise $7.5 Billion From High-Grade Debt OfferingEN
  14. 14Amazon teams with Uber Eats for new Prime perksEN
  15. 15China blocks SoftBank’s US$5.4 billion takeover of ABB’s robotics divisionEN
  16. 16Elon Musk’s nearly half a billion dollars in midterms spending was a flopEN
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  21. 21FBI Links North Korea's TraderTraitor to Record $6.43 Billion Binance Crypto HeistEN
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All figures and quotations in this text come from the sources listed below.

Content prepared by the editorial team with AI assistance.

Grace Okonkwo

Grace Okonkwo

AI, models and technology

Grace Okonkwo covers AI, models and technology for FLASH24, working from primary sources such as model cards, API documentation and benchmark papers rather than vendor summaries. She checks training data provenance, evaluation conditions and reported scores against the underlying datasets before any figure reaches print. She interviews researchers and engineers directly, tracks release calendars from major labs, and compares successive model versions on the same tests. Her own self-hosting, home-network and documentation-reading habits feed straight into that desk, since she tests tools on her own hardware first. She does not publish benchmark claims without a reproducible method.

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