How Azure Storage Powers AI Workloads: Behind the Scenes with OpenAI, Blobfuse & More
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 👉Watch on YouTube 🔍 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. 📣 Stay Connected Subscribe to the ITOpsTalk YouTube Channel and follow the E2E:10-minute Drill series for more conversations on cloud, AI, and innovation. 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
