docs(weave): Add basic Azure integration page

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/)

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)**

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",