Rafay Systems Gains NVIDIA AI Cloud-Ready Validation for AI Factory Platform

May 15, 2026
Rafay Systems has achieved NVIDIA AI Cloud-Ready validation for its platform, confirming compliance with NVIDIA's standards for production-grade AI cloud infrastructure. The designation enables neocloud and sovereign AI operators to deploy validated software and hardware stacks for large-scale AI workloads.

Rafay Systems has achieved NVIDIA AI Cloud-Ready validation, announced in a press release. The designation confirms that the Rafay Platform meets NVIDIA’s standards for production-grade AI cloud infrastructure and supports neocloud and sovereign AI operators in building validated AI factories.

The Rafay Platform integrates with the NVIDIA Infra Controller to provide a complete software stack for deploying and managing AI workloads. It offers API-driven access to compute resources, multi-tenant isolation, lifecycle management, and token-based consumption for NVIDIA NIM microservices and NeMo libraries. This enables operators to deliver AI services with governance and automation controls built in.

Rafay’s validation follows a multi-year technical collaboration with NVIDIA. The platform supports NVIDIA Grace Blackwell systems, BlueField-3 DPUs, and RTX PRO 6000 Blackwell Server Edition, with future support planned for BlueField-4. It is also available through NVIDIA DSX Air for deployment testing.

The Rafay Platform is currently used by AI cloud providers across six continents, including Yotta in India, Cassava Technologies in Africa, Firmus Technologies in Australia, and TELUS in Canada, all running AI infrastructure based on NVIDIA and Rafay systems.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more