Rafay powers GPU cloud environments with a turnkey GPU PaaS solution, built for enterprises and service providers to deploy, scale, and manage AI workloads…
Rafay powers GPU cloud environments with a turnkey GPU PaaS solution, built for enterprises and service providers to deploy, scale, and manage AI workloads with ease. Rafay helps neoclouds, sovereign AI clouds, Telcos, and enterprises turn GPU infrastructure into self-service, governed AI cloud services, from Token Factory and inferencing to Kubernetes, SLURM, bare metal, and VMs. Whether you’re building a neocloud, launching a sovereign AI cloud, or scaling enterprise AI, Rafay helps you move up the stack from GPU capacity to self-service compute, packaged environments, and monetized AI services. Neoclouds need to stand out beyond raw GPU availability. Rafay helps GPU-first cloud providers turn infrastructure into a full AI cloud platform with self-service access, multi-tenant governance, packaged compute, usage visibility, and higher-value AI services. Sovereign AI clouds must deliver local control, governed access, and production-grade AI services. Rafay helps operators turn in-region GPU infrastructure into a secure, multi-tenant AI cloud where users can consume compute, models, and AI services within required boundaries. Enterprise AI stalls when platform teams are forced to manually provision environments, enforce access, and manage fragmented infrastructure. Rafay gives developers and data scientists governed self-service access to the compute and AI services they need, while platform teams retain control over cost, policy, and usage.
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