Rafay Reviews

Rafay Description

Rafay helps enterprises, neoclouds, telcos, sovereign AI clouds, and service providers transform GPU and CPU infrastructure into secure, self-service platforms for AI innovation, consumption, and monetization. The Rafay Platform sits between accelerated infrastructure and the teams or customers consuming it, helping organizations move from raw compute to production-ready AI platforms faster. With Rafay, platform teams can orchestrate, govern, and automate infrastructure across data centers, cloud, hybrid, and air-gapped or sovereign environments. Teams can deliver self-service access to GPU resources, Kubernetes clusters, virtual machines, SLURM environments, AI workbenches, inference services, and application catalogs while maintaining control through policies, access controls, quotas, audit trails, and usage visibility. Rafay supports multiple teams, tenants, customers, and business units on shared infrastructure. Secure multi-tenancy, cost visibility, chargeback, and lifecycle automation help maximize GPU utilization while giving developers and data scientists fast access to the environments they need. For neoclouds, GPU cloud providers, telcos, and service providers, Rafay helps turn infrastructure investments into differentiated services. Providers can package compute and AI capabilities into consumable SKUs, deliver self-service GPU and AI platforms, and monetize usage through consumption-based models. Rafay unifies orchestration, governance, consumption, and monetization so organizations can accelerate AI adoption and turn infrastructure into a launchpad for innovation.