Rafay

Funded

Orchestrate and automate AI and Kubernetes infrastructure seamlessly

About Rafay

Rafay provides a comprehensive infrastructure orchestration and workflow automation platform designed to simplify the management of GPU and CPU resources for AI and cloud-native workloads. Its platform enables enterprises to centrally manage Kubernetes clusters, enforce policies, optimize costs, and deliver multi-tenant, secure environments across private, public, and hybrid clouds. Rafay's solution is particularly suited for organizations running AI/ML workloads, offering guardrails and automation to accelerate innovation while maintaining compliance and operational control.

The platform supports a wide range of deployment scenarios, including private cloud, public cloud (EKS, AKS, GKE, OKE), and bare-metal GPU provisioning. It also facilitates the delivery of infrastructure as a service, including Kubernetes clusters, SLURM HPC clusters, and GPU cloud orchestration, enabling enterprises and cloud providers to transform idle resources into revenue-generating AI services. Rafay’s integrations with NVIDIA and other ecosystem partners further enhance its capabilities, making it a strategic choice for CIOs aiming to streamline AI infrastructure management and accelerate time-to-market for AI-driven applications.

Key Capabilities

✓Kubernetes cluster lifecycle management
✓Multi-tenant GPU cloud orchestration
✓AI infrastructure and ML tooling management
✓Cost optimization and resource automation
✓Infrastructure-as-a-Service delivery

Integrations

NVIDIA BlueprintsEKSAKS

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This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .