Live March 26 at 11 AM ET: See how Silk eliminates storage overprovisioning and delivers predictable high IOPS across AWS, Azure, and Google.

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Silk Makes the Cloud Work for Mission-Critical Applications

Software-defined SAN that delivers predictable performance at a fraction of the cost

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The Cloud Acceleration Layer that Enables Real-Time AI Inferencing

Real-time AI inferencing requires consistent, very low latency access to live production data, which traditional cloud storage often cannot provide. As data and pipelines scale, latency and bottlenecks threaten accuracy and responsiveness. Silk removes these limits by placing high performance storage next to compute, ensuring fast access to fresh data and predictable, resilient production grade AI performance.

Cloud storage slows down AI inference

AI models run directly on production data — without copying data, isolating workloads, or degrading performance.

AI Inferencing
Application performance shouldn't be unpredictable

Consistently meet performance targets as demand and concurrency increase - without isolating workloads or overprovisioning.

Predictable Performance
Stop working from stale data

Analytics, Dev/Test/UAT teams access current production data instantly, without duplication or impact to operational workloads.

Simplified Data Management
Recovery without operational disruption

Recover from ransomware or data loss quickly, without slowing production or relying on complex restore workflows.

Ransomware Protection

$234K+ monthly cloud savings by eliminating performance-driven overprovisioning

32× faster analytics and ETL workflows, shrinking processing windows from hours to minutes

Ready to Treat the Cloud Like It Was Built for Your Apps?

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