The Rafay Platform transforms complex GPU environments into a secure, air-gapped self-service compute platform that enables Federal and Public agencies to operationalize AI at scale with speed, control, and compliance. Purpose built for agencies accelerating cloud native and AI adoption, it delivers governed on demand access to compute, automated cluster lifecycle management, workflow orchestration, zero trust controls, and policy driven governance across on prem, cloud, and edge environments. With integration into NVIDIA’s accelerated computing ecosystem, including NVIDIA NIM inference microservices, NVIDIA NeMo for model development and customization, and NVIDIA AI Blueprints for turnkey AI workflows, Rafay enables agencies to rapidly deliver NIM powered models as a service and blueprint-based AI services across secure, air-gapped environments.
Designed with multi-tenancy and role-based access at its foundation, Rafay supports complex organizational models common in government, allowing shared services teams to centrally manage platforms while empowering mission teams with self-service access. Advanced visibility and charge back further help agencies optimize resource usage and justify spend.
By combining security, scalability, and operational simplicity, Rafay enables public sector organizations to modernize faster, deploy AI responsibly, and deliver resilient digital services—while meeting the highest standards of trust, governance, and mission assurance.