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Platform
Models

Experiments
Track and visualize your experiments

Sweeps
Optimize your hyperparameters

Tables
Visualize and explore your data

Reports
Document and share your AI insights
Inference

OpenAI OSS
GPT OSS 20B, GPT OSS 120B

Alibaba Qwen3
235B A22B, 235B Thinking, Coder 480B

Meta Llama
Llama 4 Scout, Llama 3.3 70B, Llama 3.1 8B

MoonshotAI Kimi
Kimi K2

Microsoft Phi
Phi 4 Mini 3.8B

Hangzhou DeepSeek
DeepSeek V3.1, V3-0324, R1-0528

Z.ai
Z.AI GLM 4.5
Training

Serverless RL
Fine-tune LLMs without managing GPUs

ART
Open-source RL framework

Ruler
Automated reward function for RL
Weave

Traces
Explore and debug AI applications

Evaluations
Rigorous evaluations of AI applications

Playground
Explore prompts and models

Agents
Observability tools for agentic systems

Guardrails
Block prompt attacks and harmful outputs

Monitors
Continuously improve in production
Core

Registry
Publish and share your AI models and datasets

Artifacts
Version and manage your AI pipelines

SDK
Log AI experiments and artifacts at scale

Automations
Trigger workflows automatically
Solutions
Use Cases

Computer Vision

Evaluations

Fine-tune LLMs

RAG

Recommender Systems

Train LLMs

Industries

Autonomous Vehicles

Communications

Financial Services

Healthcare & Life Sciences

Public Sector

Scientific Research

Case Studies

Canva
Learn how Canva leverages W&B to deploy models

Microsoft
Learn how Microsoft uses W&B for their ML projects

Toyota
Learn how Toyota uses W&B for autonomous driving

OpenAI
Learn how OpenAI Robotics uses W&B for large scale ML
Enterprise
Security

Deployment

Performance

Partners

Support
Resources
AI Courses

Blog

Articles

Podcast

Whitepapers

Events & Webinars

Press
Docs
Pricing

Contact

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Platform
Models

Experiments
Track and visualize your experiments

Sweeps
Optimize your hyperparameters

Tables
Visualize and explore your data

Reports
Document and share your AI insights
Inference

OpenAI OSS
GPT OSS 20B, GPT OSS 120B

Alibaba Qwen3
235B A22B, 235B Thinking, Coder 480B

Meta Llama
Llama 4 Scout, Llama 3.3 70B, Llama 3.1 8B

MoonshotAI Kimi
Kimi K2

Microsoft Phi
Phi 4 Mini 3.8B

Hangzhou DeepSeek
DeepSeek V3.1, V3-0324, R1-0528

Z.ai
Z.AI GLM 4.5
Training

Serverless RL
Fine-tune LLMs without managing GPUs

ART
Open-source RL framework

Ruler
Automated reward function for RL
Weave

Traces
Explore and debug AI applications

Evaluations
Rigorous evaluations of AI applications

Playground
Explore prompts and models

Agents
Observability tools for agentic systems

Guardrails
Block prompt attacks and harmful outputs

Monitors
Continuously improve in production
Core

Registry
Publish and share your AI models and datasets

Artifacts
Version and manage your AI pipelines

SDK
Log AI experiments and artifacts at scale

Automations
Trigger workflows automatically
Solutions
Use Cases

Computer Vision

Evaluations

Fine-tune LLMs

RAG

Recommender Systems

Train LLMs

Industries

Autonomous Vehicles

Communications

Financial Services

Healthcare & Life Sciences

Public Sector

Scientific Research

Case Studies

Canva
Learn how Canva leverages W&B to deploy models

Microsoft
Learn how Microsoft uses W&B for their ML projects

Toyota
Learn how Toyota uses W&B for autonomous driving

OpenAI
Learn how OpenAI Robotics uses W&B for large scale ML
Enterprise
Security

Deployment

Performance

Partners

Support
Resources
AI Courses

Blog

Articles

Podcast

Whitepapers

Events & Webinars

Press
Docs
Pricing