Executive Roundtable Luncheon: Running AI on Live Cloud Data-Without the Usual Tradeoffs

AI Inferencing on Live Production Data

How teams are running analytics and real-time AI inferencing directly on production cloud data—without slowing down operational workloads or creating data copies.

Seamless Migration to the Cloud Without Refactoring

How organizations are moving mission-critical applications to the cloud that previously couldn’t meet performance requirements—and running them predictably at scale.

Predictable Performance Without Overprovisioning

How adaptive performance architectures eliminate variability and remove the need to overbuild infrastructure just to hit latency and throughput targets.

One Cloud Acceleration Layer. Many Workloads. No Compromises.

How analytics, AI, development, testing, and reporting teams are accessing the same live cloud data simultaneously—without contention or operational risk.

Instant Recovery Without Slowing the Business

How instant snapshots, cloning, and replication enable rapid recovery from outages or ransomware while keeping production systems online.

Consistent Operations Across Clouds

How a uniform data layer simplifies performance, visibility, and operations across AWS, Azure, and Google Cloud—without re-learning how storage behaves.

Silk is a software-defined SAN that serves as the cloud acceleration layer for mission-critical applications—enabling enterprises to run AI inferencing on live production data, move hnon-native workloads to the cloud, and achieve consistent performance and instant recovery without overprovisioning.