Who We Are
Cloud data platform for the AI era built for enterprise workloads at scale.
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Silk vs Azure NetApp Files
See how Silk compares on performance, resilience, and cost.
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Pricing & Packaging
Simple packaging that scales with your workloads — no overprovisioning.
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Use Case
AI Inference Predictable Application Performance Copy Data Management Control Cloud Costs
Technology
AWS Microsoft Azure Google Cloud
Industries
Healthcare Financial Services Retail SaaS
REPORT
Gartner Names Silk in the 2026 Hype Cycle
See Gartner's perspective on the technologies shaping strategic cost management.
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Technology Alliance Program
Integrate with the Silk platform and bring joint solutions to market.
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Channel Partners
Resell and deliver Silk to enterprise customers around the world.
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Partner Login
Access the partner portal to register deals and find resources.
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Resources
Blog Customer Stories Demos Webinars Thought Leadership
Customer Proof
$2.8M annual cloud storage savings at Franciscan Healthcare
32× faster analytics and ETL workflows at Sentara Health
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REPORT
Gartner Names Silk in the 2026 Hype Cycle
See Gartner's perspective on the technologies shaping strategic cost management.
Read the Report →
Company
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Upcoming Events
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Oct 19 · Executive Event
GBI CIO Chicago Evening Gathering
An exclusive executive networking dinner bringing together senior IT leaders from across the Chicago region in an intimate setting to share perspectives on the evolving IT landscape, discuss operational challenges, and exchange ideas on enterprise innovation.
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Predictable Performance for I/O-Intensive Applications

Run enterprise applications on Google Cloud with consistent performance, efficient cost, and confidence under concurrency

Webinar: Tame Multi-Cloud Complexity

Google Cloud Scale Meets Production Reality

Google Cloud provides elastic infrastructure, but performance can become unpredictable as applications, analytics, and AI share resources. Teams often compensate by oversizing Compute Engines, isolating workloads, and duplicating data.

Introducing Silk's Data Layer on Google Cloud

Rapid
Consistent Performance 

Maintain predictable latency and throughput as concurrency grows.

LowCost
Improve Utilization

Reduce overprovisioing while meeting application performance targets.

AIInference
Use Live Data for AI

Give teams real-time access to production data without disrupting application performance.

Cog
Simplified Operations
Reduce the isolation, duplication, and manual tuning required to maintain performance.
GC

Built for Google Cloud Architecture

Silk works within existing Google Cloud environments, including Compute Engine, persistent disk storage, VPC networking, and multi-zone architectures - without requiring application changes.