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MLOps AI tool
Weights & Biases
Weights & Biases tracks machine-learning experiments. ML teams log runs, compare results, and ship the best model to production.
Audience
ML teams
Pricing
Freemium
What Weights & Biases does
- W&B logs every run. Metrics, hyperparameters, gradients, system stats, and artifacts all reach the dashboard with a few lines of code.
- The model registry stores versioned artifacts. Promotion stages move a model from staging to production.
- Sweeps automate hyperparameter search. You write a config; W&B runs grid, random, or Bayesian search across your hardware.
- Reports turn dashboards into shareable documents. Engineers, managers, and stakeholders all read the same numbers.
- Weave extends the platform to LLM applications. It logs prompts, model calls, and evaluations across an LLM pipeline.
When to use Weights & Biases
- A research team compares a hundred training runs in one view and picks the best hyperparameter combination.
- ML engineers share results with non-technical stakeholders through W&B Reports without screenshots.
- Compliance auditors trace which data and which code produced the model in production.
Weights & Biases pricing
Weights & Biases is offered as a freemium product. Plans and exact prices change often — check the official Weights & Biases site for current tiers and limits.
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- voice generation and audio production — AI voice generation and text-to-speech.
Frequently asked questions
Is Weights & Biases free?
W&B has a free tier for individuals and academic use. Team and Enterprise plans are paid. See wandb.ai for current pricing.
Which ML frameworks does W&B support?
W&B integrates with PyTorch, TensorFlow, JAX, scikit-learn, Hugging Face Transformers, Keras, and most common frameworks. Logging usually takes one or two lines.
Can W&B host on my own servers?
Yes. W&B Self-Hosted is a paid option for teams that need their data on their own infrastructure.