# How IBM uses CoreWeave

**80%**: “Greater than 80% faster speed and enhanced performance results on NVIDIA GB200 NVL72”

As published on [coreweave.com](https://www.coreweave.com/resources/case-studies/ibm), October 2026. Captured by usedby on 2026-10-07.

- Company: [IBM](https://www.usedby.ai/companies/ibm.md)
- Tool: [CoreWeave](https://www.usedby.ai/tools/coreweave.md)
- Industry: [IT Services & System Integration](https://www.usedby.ai/companies/industry/it-services-system-integration.md)
- Teams: IBM Research

## What the story says

IBM uses CoreWeave's GPU cloud infrastructure, including NVIDIA GB200 NVL72 clusters, to train its Granite family of AI models. CoreWeave Mission Control manages the clusters and keeps them resilient so researchers can focus on model development.

Summary written by usedby from the source page, in English. The figures are those of CoreWeave and IBM, not ours.

> Groundbreaking MLPerf results: Greater than 80% faster speed and enhanced performance results on NVIDIA GB200 NVL72 impressed the industry and the world.

> We’ve invested in CoreWeave technology that aids the researchers in training Granite models quickly. Things we didn’t think were possible became possible.
>
> Danny Barnett, VP of Emerging Technology Engineering, IBM Research

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure 80% is printed word for word on the page, near the name of IBM.
- Checked: the passage quoted above is copied word for word from the page, near the name of IBM.
- Checked: each number in our summary is printed on the page.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: IBM uses CoreWeave. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/ibm-coreweave · How we check: https://www.usedby.ai/methodology