# How Graphcore uses Weights & Biases

**50 or 100 times**: “We're now driving 50 or 100 times more experiments versus what we were doing before on the Mk1 IPU systems”

As published on [wandb.ai](https://wandb.ai/site/customers/graphcore/), October 2023. Captured by usedby on 2026-10-08.

- Company: [Graphcore](https://www.usedby.ai/companies/graphcore.md)
- Tool: [Weights & Biases](https://www.usedby.ai/tools/weights-and-biases.md)

## What the story says

Graphcore uses Weights & Biases to track and compare machine learning experiments run across multiple IPU-POD systems and deployment locations, replacing internal tools and spreadsheets. It serves as a central source of truth for diagnosing failures and comparing past and current runs while training large models like BERT.

Summary written by usedby from the source page, in English. The figures are those of Weights & Biases and Graphcore, not ours.

> Weights & Biases allows them to scale up their experiments as they scale up the systems they're building. It lets them more easily discover what went wrong faster so that it can be fixed sooner.

> We're now driving 50 or 100 times more experiments versus what we were doing before on the Mk1 IPU systems
>
> Phil Brown, Director of Applications

Source: [wandb.ai](https://wandb.ai/site/customers/graphcore/), captured 2026-10-08.

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the figure 50 or 100 times is printed word for word on the page, near the name of Graphcore.
- Checked: the passage quoted above is copied word for word from the page, near the name of Graphcore.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Graphcore uses Weights & Biases. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/graphcore-weights-and-biases · How we check: https://www.usedby.ai/methodology