In the latest episode of E2E: 10-minute Drill, we sits down with Vamshi from the Azure Storage team to explore how Azure Blob Storage is fueling the AI revolution.
In the latest episode of E2E: 10-minute Drill, I sat down with Vamshi from the Azure Storage team to explore how Azure Blob Storage is fueling the AI revolution. From training massive foundation models like ChatGPT to enabling enterprise-grade AI solutions.
Whether you're building your own LLM, fine-tuning models with proprietary data, or just curious about how Microsoft supports OpenAI’s infrastructure, this episode is packed with insights.
🎥 Watch the Full Episode
🔍 Key Highlights
- Azure Blob Storage is the backbone of AI workloads, storing everything from training data to user-generated content in apps like ChatGPT and DALL·E.
- Microsoft’s collaboration with OpenAI has led to innovations like Azure Scaled Accounts and Blobfuse2, now available to all Azure customers.
- Enterprises can now securely bring their own data to Azure AI services, with enhanced access control and performance at exabyte scale.
📂 Documentation & Resources
- 🚀 Azure Blob Storage Overview - https://learn.microsoft.com/azure/storage/blobs/
- 📝 Blobfuse2 (Linux FUSE Adapter for Azure Blob Storage) - https://learn.microsoft.com/azure/storage/blobs/blobfuse2-introduction
- 🧠 Azure OpenAI Service - https://learn.microsoft.com/azure/cognitive-services/openai/overview
- 🔐 Azure Role-Based Access Control (RBAC) - https://learn.microsoft.com/azure/role-based-access-control/overview
💬 Why It Matters
As AI becomes a core workload for infrastructure teams, understanding how to scale, secure, and optimize your data pipelines is critical. This episode offers a behind-the-scenes look at how Microsoft is enabling developers and enterprises to build the next generation of intelligent applications—using the same tools that power OpenAI.
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And, As always if you have any questions or comments, please leave them below. I'll make sure we get back to you.
Cheers!!
Pierre
Microsoft