Saturn Cloud and Rafay Systems have formed a strategic alliance that will assist in providing production-ready AI solutions to neoclouds, telcos, sovereign AI suppliers, and enterprises running AI factories. Given the growing interest in AI infrastructure, cloud providers who operate GPU clouds are increasingly expected to deliver ready-for-use AI services such as managed development tools, fine tuning, and model deployment instead of just providing GPU capacity. Developing such services requires heavy engineering work, while this collaboration will be a more efficient way of delivering these services. While Rafay offers necessary infrastructure control plane for orchestration, secure multi-tenancy, and policy enforcement in data centers and sovereign clouds, Saturn Cloud brings the AI layer which enables tenants to use distributed training and deploy their models to OpenAI-compliant endpoints with token pricing.
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Expressing the strategic value of this collaboration, Mohan Atreya, Chief Product Officer at Rafay Systems, stated: “GPU cloud operators do not win long-term by selling raw capacity alone. They win by making that capacity easy to consume, govern, and monetize as production AI services. Rafay gives operators the infrastructure control plane for orchestration, multi-tenancy, policy, and metering. Saturn Cloud brings the AI workflows their tenants need to fine-tune, serve, and consume models. Together, we give operators a practical path from GPU infrastructure to revenue-generating AI services.” Echoing this sentiment, Sebastian Metti, Founder of Saturn Cloud, noted: “Saturn Cloud helps operators expose the AI workflows their customers actually want: fine-tuning, model serving, managed environments, and per-token inference. Rafay provides the operational foundation that GPU cloud operators need to run secure, multi-tenant infrastructure at scale. Together, we help operators move up the stack from GPU access to AI services.” Ultimately, this combined solution enables operators to shorten their time to market, scale operations securely, and transition from basic hardware providers into full-scale AI service platforms.
