diff --git a/docs/docs/guides/integrations/azure.md b/docs/docs/guides/integrations/azure.md new file mode 100644 index 00000000000..87e2287afe3 --- /dev/null +++ b/docs/docs/guides/integrations/azure.md @@ -0,0 +1,26 @@ +# Microsoft Azure + +Weights & Biases integrates with Microsoft Azure OpenAI services, helping teams to manage, debug, and optimize their Azure AI workflows at scale. This guide introduces the W&B integration, what it means for Weave users, its key features, and how to get started. + +## Key features + +- **LLM evaluations**: Evaluate and monitor LLM-powered applications using Weave, optimized for Azure infrastructure. +- **Seamless integration**: Deploy W&B Models on a dedicated Azure tenant with built-in integrations for Azure AI Studio, Azure ML, Azure OpenAI Service, and other Azure AI services. +- **Enhanced performance**: Use Azure’s infrastructure to train and deploy models faster, with auto-scaling clusters and optimized resources. +- **Scalable experiment tracking**: Automatically log hyperparameters, metrics, and artifacts for Azure AI Studio and Azure ML runs. +- **LLM fine-tuning**: Fine-tune models with W&B Models. +- **Central repository for models and datasets**: Manage and version models and datasets with W&B Registry and Azure AI Studio. +- **Collaborative workspaces**: Support teamwork with shared workspaces, experiment commenting, and Microsoft Teams integration. +- **Governance framework**: Ensure security with fine-grained access controls, audit trails, and Microsoft Entra ID integration. + +## Getting started + +To use W&B with Azure, add the W&B integration via the [Azure Marketplace](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/weightsandbiasesinc1641502883483.weights_biases_for_azure?tab=Overview). + +For a detailed guide describing how to integrate Azure OpenAI fine-tuning with W&B, see [Integrating Weights & Biases with Azure AI Services](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/weights-and-biases-integration). + +## Learn more + +- [Weights & Biases + Microsoft Azure Overview](https://wandb.ai/site/partners/azure) +- [How W&B and Microsoft Azure Are Empowering Enterprises](https://techcommunity.microsoft.com/blog/azure-ai-services-blog/how-weights--biases-and-microsoft-azure-are-empowering-enterprises-to-fine-tune-/4303716) +- [Microsoft Azure OpenAI Service Documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/) diff --git a/docs/docs/guides/integrations/index.md b/docs/docs/guides/integrations/index.md index f83d579b21c..66d027cc94d 100644 --- a/docs/docs/guides/integrations/index.md +++ b/docs/docs/guides/integrations/index.md @@ -15,6 +15,7 @@ LLM providers are the vendors that offer access to large language models for gen - **[Cerebras](/guides/integrations/cerebras)** - **[Cohere](/guides/integrations/cohere)** - **[MistralAI](/guides/integrations/mistral)** +- **[Microsoft Azure](/guides/integrations/azure)** - **[Google Gemini](/guides/integrations/google-gemini)** - **[Together AI](/guides/integrations/together_ai)** - **[Groq](/guides/integrations/groq)** diff --git a/docs/sidebars.ts b/docs/sidebars.ts index fa2f7f80d32..9d69ab069e9 100644 --- a/docs/sidebars.ts +++ b/docs/sidebars.ts @@ -96,6 +96,7 @@ const sidebars: SidebarsConfig = { "guides/integrations/cerebras", "guides/integrations/cohere", "guides/integrations/mistral", + "guides/integrations/azure", "guides/integrations/google-gemini", "guides/integrations/together_ai", "guides/integrations/groq",