Weights & Biases
Build and scale faster on the purpose-built AI cloud, engineered from silicon to API.
Weights & Biases
Build and scale faster on the purpose-built AI cloud, engineered from silicon to API.
Weights & Biases
The W&B documentation site published several new articles in September 2026: a Models guide explaining how to use automations to send a templated prompt to ARIA and start a new conversation on a specified event, a Weave article on creating a custom signal to tag agent turns for a defined behavior, and a Support article Together these represent fresh, technically useful provider updates: ARIA automations extend W&B Models event-driven workflows into LLM app orchestration, the custom-signal feature gives Weave users a way to annotate and analyze agent behavior, and the Weave agent evaluation and caching articles document developer-faci
Weights & Biases
Weights & Biases released W&B Server v0.84.1 on September 2, 2026, shipping targeted bug fixes: the UI now shows all tags within a team up to the 1000-tag maximum instead of truncating at 500, a crash in Reports panel grids triggered by rapid successive interactions was resolved, and tables and artifacts no longer rely These server releases are the most technically substantive provider updates in the candidate set, with concrete version numbers, dates, and developer-facing feature/fix detail directly sourced from docs.wandb.ai. The combination of security/operational fixes (GraphQL introspection, API key lifecycle) and new platform c
What they do
Weights & Biases provides MLOps tooling and hosted inference access through its Weave and inference products, letting developers use open models without managing infrastructure.
How they were founded
Founded in 2017 by Lukas Biewald, Chris Van Pelt, and Shawn Lewis as a developer-first machine learning tooling company.
Models served
These model results are sorted newest first so you can quickly see the latest options from this provider.