# How Wayve uses Weights & Biases

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

- Company: [Wayve](https://www.usedby.ai/companies/wayve.md)
- Tool: [Weights & Biases](https://www.usedby.ai/tools/weights-and-biases.md)
- Teams: ML engineers

## What the story says

Wayve, a developer of AI systems for autonomous driving, uses Weights & Biases to track and compare training experiments, monitor GPU and compute utilization, and document experiments in shared reports. It runs alongside in-house tools and Microsoft Azure workloads to support the machine learning lifecycle.

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

> With W&B, evolving information such as hyperparameters, metrics, and artifacts are automatically logged and stored in one place, making it easy to compare runs and identify problem areas during training.

> We actively use W&B to track all our experiments, and it’s allowed us to dig deep into comparisons and monitor in real-time exactly what’s happening in training.
>
> Peter Matev, Engineering Manager, Wayve

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

## What usedby checked

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

- Checked: the passage quoted above is copied word for word from the page, near the name of Wayve.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Wayve 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/wayve-weights-and-biases · How we check: https://www.usedby.ai/methodology