Win the Workloads Hyperscalers Own Today
Long-term AI cloud growth comes from hosting more of the enterprise, starting with its databases. Silk lets you run mission-critical databases and higher-value data services with the performance and resilience enterprises expect from the hyperscalers.
GPU Hours Alone Won't Hold Customers
AI workloads sit next to the data that feeds them: ERP, transactional and analytical databases. When an enterprise's data lives in a hyperscaler, its inference tends to follow. AI clouds that can host that data close the gap, grow revenue per customer and become much harder to replace.
Everything Enterprises Expect, on Your Cloud
The data services that turn a GPU provider into a full-service cloud.
Database
Run SQL Server, Oracle, PostgreSQL and other I/O-intensive databases at enterprise performance, with predictable latency under load and no need for oversized instances to reach the IOPS you need.
Incremental services
Turn the data layer into new lines on the bill, beyond GPU hours.
Managed database hosting · Dev/test and copy data management · Agent sandboxes as a service · Cross-cloud DR and replication services
Enterprise resilience
Snapshots plus one-to-many and many-to-one cross-cloud replication, so you can offer the availability and recovery commitments enterprise buyers put in their RFPs.
Multi-tenancy and QoS
Host many enterprise customers on shared infrastructure without noisy neighbors. Multi-tenancy keeps each customer isolated, and self-optimizing QoS keeps every tenant's workloads on target performance automatically.
Close the Hyperscaler Gap
What an enterprise buyer checks before moving a production workload.
| Enterprise requirement | GPU-only AI cloud | AI cloud with Silk |
|---|---|---|
| Mission-critical database performance | Not offered, or commodity block storage | Enterprise-grade, predictable latency |
| Instant copies for dev/test and AI | Full copies, hours to provision | Zero-footprint clones in milliseconds |
| Live production data next to inference | Data stays in the hyperscaler | Data and inference on the same cloud |
| Tenant isolation and performance | Shared storage, noisy neighbors | Multi-tenancy with self-optimizing QoS |
| Sovereign control | Depends on the storage vendor | Software you run, in your jurisdiction |
| Revenue beyond GPU hours | Compute only | Database, copy and sandbox services |
Proven on Enterprise Production
Enterprises already run their most demanding databases on Silk in public cloud.
Annual cloud storage savings
Franciscan Health
Faster analytics and ETL
Sentara Health
Back for every $1 invested
Forrester Consulting, The Total Economic Impact™ of Silk¹
Whitepaper
Supporting AI inference in PTC Windchill+ with Silk
See how Silk supports AI inference on a business-critical enterprise application while reducing data and infrastructure risk.
Partner With Silk
Bring Silk to your customers in the way that fits your business.
OEM and white-label
Embed Silk in your platform and offer high-performance block and database services under your own brand.
Resell and managed service
Sell Silk alongside your GPU capacity, or run it for customers as a fully managed data service.
Co-sell
Go to enterprise accounts together, with Silk's field and technical teams alongside yours.
Technology alliance
Validate joint architectures and publish reference designs through the Silk Technology Alliance Program.
Explore Silk for AI Clouds
Become the Enterprise's Cloud
Talk to Silk about adding enterprise database and data services to your AI cloud.
- 1. A 2026 commissioned study conducted by Forrester Consulting and based on a three-year 139% ROI for a composite organization.