Can I use W&B for commercial projects on the Free plan?

No. The Free plan is strictly for personal development. Commercial or corporate use requires a paid Pro or Enterprise plan.

What is Weave and how does it differ from the core platform?

Weave is a newer suite focused on the full GenAI application lifecycle—tracing LLM calls, evaluating outputs, and monitoring in production. Core W&B is more focused on traditional ML experiment tracking and model management.

How does the data ingestion pricing work for Weave?

Weave has a base data ingestion limit per plan (e.g., 1.5 GB/mo for Pro). Additional ingestion is billed at $0.10 per MB, making high-volume logging potentially expensive.

What are my self-hosting options?

You can run a W&B server locally on your own infrastructure using Docker. The 'Personal' plan allows one user seat for non-corporate use. For enterprise self-hosting, you need a custom 'Advanced Enterprise' plan.

Directory/Analytics/AI Development/Weights & Biases (W&B)

Weights & Biases (W&B)

Weights & Biases (W&B) is a comprehensive platform for building, training, and deploying AI systems. It provides tools for experiment tracking, model versioning, hyperparameter sweeps, and production monitoring for both traditional ML models and generative AI applications. Core capabilities include W&B Models for experiment tracking and data versioning, W&B Weave for building and evaluating LLM applications with tracing and evaluations, and serverless inference for running open-source models. The platform supports teams across the full AI lifecycle from research to production. Target users include machine learning engineers, AI researchers, data scientists, and product teams building AI-powered applications. It integrates with popular frameworks like PyTorch, TensorFlow, and Hugging Face.

Analytics

Visit website

Added on

Sep 22, 2026

ML Experiment TrackingGenAI Application MonitoringModel RegistryHyperparameter SweepsServerless TrainingSelf-Hosted Option

Product information

Everything worth knowing about Weights & Biases (W&B)

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Experiment Tracking & Visualization

Track and visualize model training metrics, hyperparameters, and results in real-time dashboards.

GenAI Application Tracing & Evaluation

Monitor and analyze performance of LLM-based applications, capturing inputs, outputs, and metadata for debugging and evaluation.

Model Registry & Lineage

Publish, share, and track the lineage of AI models and datasets across teams and projects.

Collaborative Reporting

Create and share rich, interactive reports to document and communicate AI insights and results.

Technical capabilities

Hyperparameter Sweeps

Automatically search through combinations of hyperparameters to optimize model performance.

Serverless Training & Inference

Run fine-tuning (RL/SFT) and inference jobs on managed infrastructure without managing GPUs.

Weave Data Ingestion & Monitoring

Ingest trace data and continuously monitor GenAI applications in production with LLM-as-a-judge metrics.

Must watch videos

Meet CoreWeave's first NVIDIA Vera Rubin NVL72 rack

0:32

Tutorial0:32

Meet CoreWeave's first NVIDIA Vera Rubin NVL72 rack

CoreWeave Senior Director of Compute Architecture, Jacob Yundt, takes you inside our data center for a first look at NVIDIA Vera Rubin NVL72. Learn more on our NVIDIA Vera Rubin page: https://www.coreweave.com/products/nv...

NVIDIA HGX B300: on-site with CoreWeave engineers

1:28

Tutorial1:28

NVIDIA HGX B300: on-site with CoreWeave engineers

NVIDIA HGX B300 is now generally available on CoreWeave. Zach Marino, Staff Operations Engineer at CoreWeave, takes you inside a Switch data center where we're rolling out the newest NVIDIA Blackwell Ultra systems for agentic AI at production scale. CoreWeave combines NVIDIA Blackwell Ultra innovations with our purpose-built AI cloud to deliver partnership, pace, and performance — infrastructure co-designed and optimized with NVIDIA, backed by direct expert support, and trusted by AI pioneers including Mistral, Cohere, and Meta. What HGX B300 on CoreWeave delivers: NVIDIA Blackwell Ultra performance at scale for agentic AI Expanded memory paired with non-blocking NVIDIA Quantum-X800 InfiniBand networking — twice the node-to-node bandwidth across multi-thousand-GPU clusters CoreWeave Mission Control: observability and operating standards that reduce iteration cycles, surface issues faster, and get you from run to results with predictable speed Sustained performance on a proven platform, so your team can stay one step ahead 🔗 Learn more on our Blackwell page: https://www.coreweave.com/products/nv... #CoreWeave #NVIDIA #HGXB300 #BlackwellUltra #AgenticAI #AIInfrastructure #GPUCloud #InfiniBand #DataCenter #Switch #AI

300x more water-efficient: inside CoreWeave's liquid-cooled AI data centers

1:29

Tutorial1:29

300x more water-efficient: inside CoreWeave's liquid-cooled AI data centers

CoreWeave has consistently been among the first to bring new AI systems to production at scale. The reason isn't just the GPUs — it's the infrastructure around them, and liquid cooling is at the center of it. 💧 Closed-loop liquid cooling — water circulates in a perpetual loop instead of continuously drawing from local supplies 🔥 Direct-to-chip cooling — far more efficient heat transfer than air, with over 300x better water efficiency for Blackwell platforms 🤖 Proactive AI agents — turning cooling from a reactive system into a performance advantage under dynamic workloads 📊 CoreWeave Mission Control — centralized observability to monitor and tune cooling across an entire cluster in real time Together, these keep CoreWeave's AI platforms practical, sustainable, and better for the communities where our data centers operate. Direct-to-chip liquid cooling isn't a feature. It's a foundation. CoreWeave is designing the facilities that make AI density real.

Who uses it

Real use cases, no hype

ML Experiment Tracking

Log metrics, hyperparameters, and artifacts from training runs for comparison and analysis.

GenAI Application Development

Trace, debug, and evaluate LLM-based applications end-to-end using the Weave suite.

Model Versioning & Registry

Package and version models, datasets, and other artifacts for reproducible pipelines.

Hyperparameter Optimization

Automate and visualize the process of finding optimal hyperparameters with Sweeps.

Collaborative ML Research

Document findings, share results, and create interactive reports for team collaboration.

LLM Fine-tuning & Evaluation

Track fine-tuning runs and rigorously evaluate model performance against benchmarks.

Production ML Monitoring

Monitor model performance and data drift in production using Weave monitors.

What's great

Gold standard for experiment tracking and visualization.
Excellent collaborative reporting and dashboards for teams.
Robust model versioning and lineage tracking with Artifacts.
Seamless integration with major ML frameworks (PyTorch, TensorFlow, Keras).
Powerful hyperparameter sweep automation.

Technical strengths

Native Weave suite for full GenAI application lifecycle (tracing, eval, production monitoring).
Serverless Inference/Training/RL via CoreWeave integration for managed compute.

Where it falls short

Pricing can escalate quickly for teams and data-heavy projects.
The platform has many features, which can be overwhelming for beginners.
Pro plan required for serious team collaboration.

Technical limitations

Self-hosting options (Personal plan) are limited and not for corporate use.
Data ingestion and storage overages incur additional costs.

For technical folks

The deep-dive specs

FAQ

Includes technical Q&A

Free is for personal use with limited seats/storage. Pro starts at $60/mo for small teams with collaboration features. Enterprise is for large companies needing custom security, compliance, and deployment options.