EMEA Archives - Weights & Biases

To comply with applicable regulations, starting on September 1st, 2025, our services will no longer be accessible from your location.

Learn More

Learn more

For more information or if you need help retrieving your data, please contact Weights & Biases Customer Support at support@wandb.com

Skip to content

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
Training

Serverless RL
Fine-tune LLMs without managing GPUs

ART
Open-source RL framework

Ruler
Automated reward function for RL
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
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

Contact centers

Evaluations

Fine-tune LLMs

RAG

Train LLMs

Quant trading

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

ko
ja
en
de

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
Training

Serverless RL
Fine-tune LLMs without managing GPUs

ART
Open-source RL framework

Ruler
Automated reward function for RL
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
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

Contact centers

Evaluations

Fine-tune LLMs

RAG

Train LLMs

Quant trading

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

ko
ja
en
de

Experiments
Track and visualize your experiments
Sweeps
Optimize your hyperparameters
Tables
Visualize and explore your data
Reports
Document and share your AI insights

Serverless RL
Fine-tune LLMs without managing GPUs
ART
Open-source RL framework
Ruler
Automated reward function for RL

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

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

Use Cases

Computer vision
Contact centers
Evaluations
Fine-tune LLMs
RAG
Train LLMs
Quant trading

Computer vision
Contact centers
Evaluations
Fine-tune LLMs
RAG
Train LLMs
Quant trading

Industries

Autonomous Vehicles
Communications
Financial Services
Healthcare & Life Sciences
Public Sector
Scientific Research

Autonomous Vehicles
Communications
Financial Services
Healthcare & Life Sciences
Public Sector
Scientific Research

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

Security
Deployment
Performance
Partners
Support

Security
Deployment
Performance
Partners
Support

AI Courses
Blog
Articles
Podcast
Whitepapers
Events & Webinars
Press

AI Courses
Blog
Articles
Podcast
Whitepapers
Events & Webinars
Press

ko
ja
en
de

Contact LOG IN Sign up

Corephotonics Ltd

Stability AI

nyonic GmbH

AutoScout24

Isarsoft GmbH

Onfido

University of Oxford

JetBrains

Carbon Re

MSAID

X-twitter Linkedin-in Youtube

The Platform

Traces
Evaluations
Playground
Agents
Guardrails
Online Evaluations
Models
Experiments
Sweeps
Tables
Inference
Registry
Artifacts
Reports
SDK
Automations

Traces
Evaluations
Playground
Agents
Guardrails
Online Evaluations
Models
Experiments
Sweeps
Tables
Inference
Registry
Artifacts
Reports
SDK
Automations

Article

What are AI agents?
What are AI guardrails?
LLM evaluations
What is RAG?
What is MLOps?
ML model registry
What is LLMOps?
What is reinforcement learning?

What are AI agents?
What are AI guardrails?
LLM evaluations
What is RAG?
What is MLOps?
ML model registry
What is LLMOps?
What is reinforcement learning?

Resources

Documentation
AI Courses
Articles
Blog and tutorials
Podcast
Events
Support

Documentation
AI Courses
Articles
Blog and tutorials
Podcast
Events
Support

Company

About us
Partners
Trust and security
Legal
Careers
Contact
Brand guide
Press

About us
Partners
Trust and security
Legal
Careers
Contact
Brand guide
Press

Copyright © Weights & Biases. All rights reserved.

Website terms of use
Privacy policy
English

Website terms of use
Privacy policy
English