Software-defined SAN that delivers predictable performance, without overprovisioning.
Real-time AI inferencing requires consistent, very low latency access to live production data, which traditional cloud storage often cannot provide without costly overprovisioning. 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.
AI models run directly on live production data as concurrency increases—without copying data, isolating workloads, or degrading application performance.
Artificial Intelligence
Applications consistently meet performance targets as demand and concurrency increase - delivering performance exactly where and when it’s needed, without isolating workloads or paying for unused capacity just to feel safe.
Performance
Analytics, Dev/Test/UAT teams access current production data instantly, without duplication or impact to operational workloads.
Copy Data Management
Systems recover from ransomware or data loss in minutes, without slowing production or relying on complex restore workflows.
Platform Technology
