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Rafay Systems Achieves NVIDIA AI Cloud-Ready Validation

Rafay Systems has announced a significant milestone by achieving NVIDIA AI Cloud-Ready validation for its infrastructure orchestration platform targeted at AI and cloud-native workloads. This accomplishment positions Rafay as one of the few independent software vendors attaining this prestigious designation, which confirms that its platform meets NVIDIA's rigorous standards for operating production-grade AI cloud infrastructure. With this validation, Rafay is now among a select group of platforms approved to provide the API-driven and multi-tenant capabilities essential for neocloud and sovereign AI factories aiming to deliver scalable services.

The Rafay Platform is designed to streamline operational efficiency by offering a comprehensive suite of capabilities that ranges from hardware management to AI model deployment. Notably, it allows AI factories to monetize their offerings swiftly, incorporating token-based consumption options. Operators leveraging this platform will be able to cater to the most stringent demands from high-profile consumers of GPUs, including those constructing frontier models.

The NVIDIA AI Cloud-Ready initiative is part of the NVIDIA Cloud Partners program, which defines the standard for building AI cloud infrastructure. Just as the Cloud Partners program has set a benchmark for the construction of AI factories, the AI Cloud-Ready initiative establishes guidelines for how these facilities should function effectively. Together, these initiatives provide a robust framework that customers will look for when engaging in high-value partnerships.

As the market for AI factories evolves rapidly, operators are racing to deploy NVIDIA-powered infrastructure on an unprecedented scale. Prospective buyers of neocloud and sovereign AI cloud solutions are increasingly asking whether their service providers can deliver infrastructure as a service. The response lies within the NVIDIA AI Cloud-Ready initiative, which assures clients of compliance with the necessary standards required to meet their operational needs.

Platform Features

The Rafay Platform grants API-driven access to AI computing resources, including Kubernetes, virtual machines, SLURM, and bare metal—all available as services and easily consumable via published APIs. It features both hard and soft multi-tenancy, ensuring workload isolation at the hardware and platform levels, reinforced with quota enforcement and policy governance across various teams and geographies.

Moreover, it offers validated support for production AI workloads, ensuring compatibility with the NVIDIA accelerated compute stack. This includes orchestration, networking, and AI platform software while supporting token-metered NVIDIA NIM microservices and NVIDIA NeMo libraries. Enterprise-grade operational controls, such as lifecycle management, security, compliance, self-service workflows, and real-time monitoring are integral to the platform, meeting the demands of large enterprise clients.

A Competitive Edge

Given the complex landscape of AI infrastructure requirements, Rafay simplifies the journey to AI cloud readiness. The platform enables operators to achieve these capabilities out of the box, negating the need for lengthy and costly in-house development processes. Rafay’s partnerships with prominent enterprises illustrate its widespread adoption. Notably, Yotta, India's leading AI cloud provider, runs its Shakti Cloud Platform on the Rafay Platform, while Cassava Technologies is establishing Africa’s initial NVIDIA-powered AI factories, all facilitated by Rafay’s orchestration capabilities.

The collaboration extends globally, with Firmus Technologies powering an AI Cloud in Australia through Rafay’s platform, and TELUS in Canada working on a sovereign AI Studio. Rafay's influence spans continents, with deployments in regions including the Middle East, Latin America, and Southeast Asia.

Conclusion

The recent validation of Rafay Systems as NVIDIA AI Cloud-Ready is transformative for operators striving to establish their AI factories adept at managing production-grade workloads. By leveraging the Rafay Platform—validated by NVIDIA—these operators can ensure a full-service stack supporting secure isolation and essential guardrails required to scale enterprise AI capabilities on a global scale. With their focus on innovation and operational excellence, Rafay Systems is poised to drive the future of AI cloud infrastructure, ensuring organizations can navigate this advanced landscape effectively.

For further information on Rafay Systems and their AI Cloud-Ready platform, please visit rafay.co.