Customers achieve new levels of predictability and elasticity for their most data-intensive workloads
BOSTON, MA / ACCESS Newswire / April 30, 2026 / Silk, the only software-defined cloud storage platform purpose-built for data-intensive workloads, today announced expanded capabilities that eliminate the cost and performance trade-offs enterprises face when running in Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. With a single, unified platform, organizations can now deploy, manage, and scale their business-critical workloads across every major cloud - without compromise.
The Multi-Cloud Problem Is a Data Problem
Most enterprises now run workloads across more than one cloud - yet managing data-intensive applications across cloud providers remains a persistent source of complexity, cost, and inconsistency. Performance varies. Budgets exhaust quickly. Operations teams are forced to maintain parallel workflows for environments that should ideally operate with consistency.
Compounding this challenge is the tsunami of real time data required by artificial intelligence. AI doesn't just consume data - it demands it, instantly and at scale. As enterprises move AI initiatives from pilot to production, the pressure on cloud data infrastructure has reached an inflection point. Even milliseconds of latency can degrade a model's output and undermine the business value AI was meant to deliver.
Silk solves this by abstracting infrastructure complexity leveraging a software-defined cloud storage platform, building on innovations like Silk Echo to deliver consistent, real-time performance through a single control plane - regardless of the cloud their workloads run on.
"Our customers aren't thinking in terms of individual clouds - they're thinking in terms of outcomes," said Adik Sokolovski, Chief Research and Development Officer, Silk. "This milestone is about delivering a single, consistent platform for data-intensive workloads across all major clouds. By extending that experience to all clouds, we're removing another barrier to true multi-cloud flexibility."
One Platform. Any Cloud. Predictable Results.
With Silk's expanded any-cloud capabilities, enterprises can:
Standardize performance across all major cloud providers
Hit SLAs consistently with ultra-low, predictable latency
Migrate without pain - no application rewriting or re-architecting
Unify operations through a single multi-cloud control plane
Cut costs without sacrificing performance or resilience
What Partners Are Saying
Organizations running on Silk's cloud storage platform are seeing meaningful results:
"Enterprises want the flexibility to migrate and run workloads on any cloud," said Greg Spencer, Field CTO, Technologent. "Silk abstracts the uniqueness of each provider, letting customers break free from the limitations of cloud-native offerings."
Performance and Cost - No Longer a Trade-Off
With Silk, enterprises stop choosing between the infrastructure that's cheapest and the infrastructure that performs. Silk makes those decisions independent of each other - virtualizing cloud storage so compute and storage are sized for the application, not for I/O workarounds.
The result: 10x faster performance at 50% less cost.
About Silk
Silk is the only software-defined cloud storage platform engineered for enterprises that refuse to compromise. On performance. On resilience. On efficiency - across any cloud, at any scale. General-purpose cloud infrastructure wasn't built for data-intensive workloads and the tsunami of data needed for real time AI. Silk was. By eliminating the resource constraints and complexity that hold other platforms back, Silk customers run their business-critical applications with 10x faster performance at 50% less cost.
Finance. Healthcare. SaaS. The world's most demanding industries run on Silk because when data powers everything, the platform beneath it must be without compromise.
Learn more at silk.us.
Media Contact: Julie Pike | Julie.pike@silk.us | +1 508.395.4082
SOURCE: Silk
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