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Data Center News > Blog > Edge Computing > NVIDIA deepens CoreWeave bet as AI factory race accelerates
Edge Computing

NVIDIA deepens CoreWeave bet as AI factory race accelerates

Last updated: February 3, 2026 1:34 pm
Published February 3, 2026
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NVIDIA deepens CoreWeave bet as AI factory race accelerates
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NVIDIA and CoreWeave have prolonged their partnership to make progress in the direction of AI factories, with a purpose of making greater than 5 gigawatts of AI infrastructure by 2030.

NVIDIA has invested $2 billion into CoreWeave, displaying religion in its AI-centric cloud platform and roadmap.

CoreWeave can be integrating NVIDIA’s latest CPU, storage platforms and computing architectures, which embrace Rubin, Vera CPUs and BlueField programs.

“AI is getting into its subsequent frontier and driving the biggest infrastructure buildout in human historical past,” says Jensen Huang, founder and CEO of NVIDIA. “CoreWeave’s deep AI manufacturing unit experience, platform software program, and unmatched execution velocity are acknowledged throughout the business. Collectively, we’re racing to satisfy extraordinary demand for NVIDIA AI factories, the muse of the AI industrial revolution.”

The alliance goals to harmonize infrastructure and software program options for AI, like open-source frameworks and libraries designed for coaching deep neural networks.

CoreWeave AI-native software program resembling SUNK and Mission Control can be being examined for additional integration with NVIDIA reference architectures.

The partnership will expedite land, energy and infrastructure procurement for AI manufacturing unit growth. This relationship underscores the quickly rising want for AI infrastructure as AI goes mainstream worldwide.

Associated

AI factories  |  AI/ML  |  CoreWeave  |  GPU cloud infrastructure  |  hyperscale information facilities  |  Nvidia

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See also  Automotive Edge Computing Consortium’s proof of concept targets connectivity challenges
TAGGED: accelerates, Bet, CoreWeave, Deepens, factory, Nvidia, Race
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