Accelerate Real-Time AI Inferencing in Azure with Silk + Azure Boost

Power mission-critical AI inferencing with the speed, consistency, and scalability your enterprise workloads demand. In this joint whitepaper from Microsoft and Silk, you’ll learn how Azure IaaS, Azure Boost, and the Silk Virtual SAN combine to deliver industry-leading performance for real-time AI pipelines – without refactoring or disrupting production systems. Discover how this modern data and compute architecture brings inference closer to the data itself, reducing latency, improving throughput, and enabling deterministic performance at scale.

This deep-dive technical paper explores real customer results, architectural diagrams, performance benchmarks, and TCO impacts that demonstrate how to operationalize AI with confidence. Whether you’re powering high-volume transactions, healthcare decisioning, or large-scale recommendation engines, you’ll see how enterprises are achieving up to an 85% reduction in latency, higher throughput, and meaningful infrastructure cost savings with the combined power of Azure and Silk. Download the whitepaper to learn how to build a faster, more efficient inferencing stack for your organization.