CoreWeave signs multi-year deal to train Wayve's self-driving models on Nvidia Blackwell GPUs

AI & Compute

CoreWeave Signs Multi-Year Blackwell Deal With Wayve

CoreWeave signed a multi-year Wayve deal for Nvidia Blackwell training and simulation infrastructure, but withheld its value, GPU capacity and location before results due Nov. 10.

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By Sophie Lindqvist

CoreWeave has signed a multi-year agreement with London-based Wayve to train the autonomous-driving developer's foundation models on Nvidia Blackwell GPUs in CoreWeave Cloud. Neither company disclosed the contract's value, the amount of capacity or where it will run, leaving investors without a basis for sizing Blackwell demand or near-term revenue.

What does the agreement cover?

The contract has two stated workstreams:

  • Training Wayve's foundation models on Nvidia Blackwell GPUs through CoreWeave Cloud.
  • Providing infrastructure for evaluation and simulation as Wayve advances toward commercial deployment.

No production timetable or revenue target accompanied the announcement. Blackwell appears only as the hardware family. The announcement gives no GPU count, configuration or training schedule. Investors therefore cannot translate the agreement into a capacity commitment or a revenue forecast. The absence of contract value, capacity and location makes commercial scale impossible to verify.

What does Wayve bring to CoreWeave?

Wayve builds what it calls an AI Driver, a single model trained on real-world driving data from more than 70 countries, with intended use in personally owned cars and robotaxis. Wayve's data footprint does not establish how much training the CoreWeave agreement requires. Its investors include SoftBank Group, Nvidia, Uber and Eclipse Ventures. Nvidia appears on both sides of the announcement: Wayve names it as an investor, and CoreWeave will use its GPUs. The announcement discloses no Nvidia purchase commitment or investor participation in this contract.

How did the relationship develop?

The relationship predates the agreement because Wayve started on Weights & Biases, the AI developer platform that CoreWeave bought in 2025, before scaling onto CoreWeave's cloud. That earlier tooling use does not reveal the economics of the new agreement.

Gavin Jackson, CoreWeave's managing director for EMEA, said: "As AI moves from the screen into the physical world." He framed Wayve as part of CoreWeave's push into robotics and autonomous vehicles.

CoreWeave launched Physical AI Launchables on Oct. 21. The catalog contains templates for robotics and autonomous-vehicle development. The timing connects the agreement to a broader commercial push, but discloses no Blackwell allocation or contract size.

How much can investors count?

Wayve brings a customer outside the large AI labs and hyperscalers. That broadens CoreWeave's customer base beyond its largest buyer categories. The undisclosed contract value leaves the agreement's effect on revenue backlog unknown. No company forecast covers the deal's revenue contribution.

CoreWeave's revenue backlog stood at about $104 billion at the end of the second quarter, a company-wide figure that the announcement provides no basis for allocating to Wayve or Blackwell training. Neither company said whether the agreement will enter the reported backlog. It therefore cannot be treated as a known addition to the $104 billion figure.

What will the third-quarter report show?

According to MLQ's week-ahead preview, investors will focus on the $104 billion revenue backlog and the cost of debt funding the buildout when CoreWeave reports third-quarter results after the close on Tuesday, Nov. 10. The announcement lands a day before those results.

CoreWeave's 2032 bond yields more than 16%. That yield raises the hurdle for debt-funded infrastructure expansion. The Wayve deal strengthens customer diversification, but its undisclosed economics prevent a defensible revenue estimate.

Capacity and contract value will determine whether the agreement becomes a meaningful financial contributor. Until CoreWeave supplies those figures, the Blackwell partnership shows strategic reach rather than proven commercial scale.

Source: mlq.ai

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Sophie Lindqvist

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News editor covering money, funding and market shifts around Semiconductors, chip manufacturing, hardware, AI compute at Chip Dispatch.

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