Rafay has joined the VAST Cosmos Community, a global community of developers, builders and experts in innovative AI solutions, as a Technology Partner. Collaborating with VAST Data, the AI Operating System company, Rafay is aligning its AI native cloud control plane and orchestration platform for GPU infrastructure and AI service delivery with the VAST AI Operating System.
The VAST Cosmos Partner Program brings together technology, cloud, and channel partners building on the VAST AI Operating System.
Our participation reflects Rafay’s continued investment in validating ecosystem integrations, and expanding what's possible for team developing AI workloads. The objective is to enable organizations to transform GPU and data infrastructure into governed, mutli-temant AI services that can be delivered and consumed in a consistent operating model.
AI Infrastructure Requires More Than Raw Capacity
Enterprises and NeoCloud providers are building AI platforms that must include a complete service experience, with compute, data, governance, and cost controls, going well beyond basic access to GPUs.
Rafay enables organizations to transform GPU and data infrastructure into AI services with a unified control plane between the hardware and application layers. Instead of manually provisioning clustered services and storage, platform teams can package infrastructure into repeatable, self service workflows, with built-in policy enforcement, multi-tenant isolation, and usage visibility. VAST delivers the VAST AI Operating System, a unified software platform for AI infrastructure services. The platform supports storage and data services designed for modern AI workloads across training and inference environments, positioning VAST's value well beyond traditional storage.
Customers deploying AI infrastructure require both layers working together: a control plane that governs service request and consumption, and a high performance, scalable data platform.
Rafay maintains an open ecosystem approach, supporting multiple infrastructure and data platforms to ensure customers retain architectural flexibility. Participation in VAST Cosmos reflects Rafay’s commitment to validated integrations that simplify AI service delivery across diverse environments.
Delivering Unique Value Across Compute and Data
Through this collaboration, Rafay enabled customers to combine their owned GPU infrastructure with VAST’s data services to deliver a seamless experience across compute and data environments.
The initial integration focus includes:
- Making VAST’s storage data services as governed AI service offerings within the Rafay platform.
- Supporting governance, access controls, and lifecycle management for platform teams to apply across AI workloads.
- Enabling operational models required by NeoCloud providers and AI platform teams.
- Laying the groundwork for usage visibility and cost attribution across AI infrastructure services.
This work is based on existing success with mutual customers, and reflects a growing need for teams to validate AI-ready infrastructure models.
"Our customers don't want infrastructure components, they want operational AI. By joining VAST Cosmose, Rafay and VAST are delivering exactly that: a governed, AI-native solution that pairs managed compute with integrated data services, eliminating the complexity that slows teams down and replacing it with a model that works from day one," said Rupen Shah, Vice President, AI Partner Ecosystem.
“Enterprises and emerging AI cloud providers are looking for a simpler, more consistent way to deploy production AI, backed by validated integrations they can trust,” said John Mao, Vice President, Global Technology Alliances at VAST Data. “By welcoming Rafay into the VAST Cosmos Community, we are expanding the ecosystem built on the VAST AI Operating System and enabling customers to deliver VAST data services through AI native cloud platforms with greater governance and operational consistency.”
Scalable Use Cases: NeoCloud and Enterprise AI Platforms
NeoCloud providers are focused on delivering GPU backed AI services with the operational characteristics of a cloud platform, self service provisioning, isolation across tenants, and accurate usage tracking.
Rafay’s platform bridges GPU infrastructure and AI services, enabling providers to deliver self-service AI environments, curated model frameworks, and standardized deployment patterns from day one. With governance and usage visibility embedded into the service layer, organizations can deliver scalable, repeatable AI offerings without exposing raw infrastructure complexity.
When combined with VAST AI OS data services, this creates a path for NeoCloud providers and enterprises to offer AI infrastructure services that include both compute and scalable data access within a single operational framework.
A Structured Ecosystem for Validated Integrations
The Cosmos Partner Program introduces a formal ecosystem structure with defined tracks and agreements. As a Technology Partner, Rafay participates in a framework that supports integration validation and coordinated go-to-market alignment. This structure reduces deployment risk and shortens time to service delivery as organizations move from experimentation to production AI.
Rafay will continue expanding technical integration based on customer requirements, with a focus on practical outcomes that improve how AI infrastructure is delivered and operated.
Moving to Fully Operational AI Services
The core objective of this alignment is to assist customers in moving from compute and data infrastructure alone, to fully operational, governed AI services.
Organizations building NeoCloud offerings or enterprise AI platforms can engage with Rafay to evaluate how integrated compute and data services can be delivered through consistent, and scalable AI service.
Next Steps: Contact us here to learn more about the combined solution and how it can accelerate your AI journey.
