Real-Time AI Inference — On Live Production Data
Silk enables real-time AI inference – without destabilizing production systems or driving up cloud costs.
Real-Time AI Breaks at the Data Layer
AI inference creates sudden, unpredictable demand against the same systems running mission-critical applications. Traditional infrastructure often responds with latency, contention, or costly overprovisioning.
Silk gives AI, analytics, and transactional workloads governed access to live production data while dynamically delivering the performance each workload needs.
Real-Time AI, Without Disruption
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Run AI on Live Production Data
Give AI models access to current, authoritative enterprise data without relying on stale replicas or delayed pipelines.
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Keep Latency Predictable
Maintain consistent response times even as inference demand spikes and usage scales.
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Protect Production Workloads
Silk governs performance across AI, analytics, and transactional applications so critical systems remain stable.
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Scale AI Efficiently
LoreSupport growing inference demand without sizing infrastructure for worst-case peaks.
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Reduce Replicas and Pipelines
Minimize copy-heavy workflows by giving AI governed access to live production data.
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Make AI Production-Safe
Run real-time AI alongside systems of record with predictable performance and controlled data access.
See Silk in Action
Sentara Health's AI Initiative is Powered by Silk's Fastest Performance and Reduced Cloud Costs
Go Deeper on Real-Time AI
Explore practical guidance, technical insights, and expert perspectives for running AI inference on live enterprise data.
See How Real-Time AI Works at Enterprise Scale
Learn how to run AI inference on live operational data without disrupting production systems.
Prepare Your Architecture for Real-Time AI
Hear from Silk and Microsoft experts on the infrastructure requirements behind production-ready AI inference.
Learn How to Support AI Inference in PTC Windchill+
See how Silk can accelerate AI innovation while reducing data and infrastructure risk.