Experiment tracking
Track machine learning experiments and model runs, then review them in the W&B platform for comparison and analysis.
Weights & Biases is a machine learning and AI application platform for experiment tracking, artifact management, GenAI tracing, and evaluations. Hosted, dedicated, and customer-managed options.
Weights & Biases is a developer tool for machine learning and AI application teams. It provides a platform for tracking experiments, managing model and dataset artifacts, and observing GenAI systems across the development and production workflow.
The product spans multiple deployment styles, including hosted SaaS, dedicated cloud, and customer-managed options. The pricing pages also show separate paths for personal use, teams, and enterprise customers, with paid support and security features available on higher tiers.
Track machine learning experiments and model runs, then review them in the W&B platform for comparison and analysis.
Version datasets and models, manage artifacts, and follow lineage across the model lifecycle.
Build collaborative dashboards and reports to share results and progress with teammates.
Log GenAI traces, inputs, outputs, and metadata for evaluation and production monitoring during development.
Run evaluations, compare recipes side by side, and inspect accuracy, latency, and token usage for LLM applications.
Use access controls, team-based permissions, service accounts, audit logs, and SSO on supported plans.
Track runs, compare results, and keep artifacts organized while iterating on models and experiments.
Record traces, evaluations, and production monitoring signals for LLM applications and agent workflows.
Share dashboards, reports, and artifacts so researchers and engineers can review results together.
Deploy in a SaaS, dedicated, or customer-managed environment when security, isolation, or data residency requirements matter.
Use the personal, academic, or trial paths to evaluate the platform before committing to a broader rollout.
Weights & Biases bills the Pro plan monthly or annually upfront, depending on the selection. Model seats are prorated if added mid-term, while Weave data ingestion, W&B Inference, and storage are billed monthly in arrears based on usage. Enterprise plans are invoiced annually upfront.
The pricing page says the free plan is designed for personal development of AI applications and models, and also offers personal and academic options for research and local use. Corporate use is not allowed on the Personal plan.
Enterprise plans add single-tenant or customer-managed deployment options, security controls such as SSO, automated user provisioning, audit logs, and customer-managed encryption key support, depending on the deployment option.
The support page lists Standard, Standard Plus, and Premium support packages. Standard Plus adds onboarding, a dedicated success team, and Slack or Microsoft Teams support, while Premium adds faster response times, 24/7 coverage, and collaboration features such as feature prioritization and roadmap sessions.
The deployment options page describes SaaS Cloud, Dedicated Cloud, and Customer-Managed deployments. W&B also documents locally hosted server options on the pricing page for personal use and an enterprise trial for running a server on your own infrastructure.