W&B Inference by Weights & Biases: Access to top open-source LLMs

W&B Inference, powered by CoreWeave, provides API and playground access to leading open-source LLMs, enabling Weights & Biases users to develop AI applications and agents without needing to sign up with a hosting provider or host models themselves.

Accessing the best open-source models shouldn’t require juggling API keys, managing clusters, or signing up with multiple providers. W&B Inference, powered by CoreWeave, gives AI engineers instant access to top foundation models - including DeepSeek, Qwen3, Kimi K2, Llama 4, Phi, and OpenAI GPT OSS - directly within the Weights & Biases platform. With Inference, you can: - Call open-source LLMs through a unified API or the playground with no setup required - Rapidly test, compare, and switch between models as new ones launch - Build AI agents and applications without hosting infrastructure - Automatically trace and monitor usage with W&B Weave - Run evaluations and online monitoring seamlessly in production - Keep costs predictable with a single plan, no separate provider accounts Inference runs on CoreWeave’s powerful GPU infrastructure and integrates natively with the W&B ecosystem, giving teams a full-stack platform for developing, evaluating, and scaling open-source AI applications. Try it today → https://wandb.ai/site/inference/

@onlineinference This looks incredible! Finally, seamless access to top open-source models in W&B. Curious: do you see teams primarily using this for rapid prototyping, or more for production-scale AI deployments?