
Rafay: Streamlining Kubernetes cluster management and modern application deployment at scale.
rafay.coCrawled Oct 16, 2026
Cisco AI PODs and Rafay turn GPU infrastructure into a self-service, multi-tenant AI cloud with governance and usage-based consumption.
Give developers self-service environments built from reusable, governed templates with Rafay Environment-as-a-Service for Kubernetes and cloud.
Rafay delivers Kubernetes Cluster-as-a-Service, enabling developers and cloud teams with self-service access, automation, and built-in governance templates.
Rafay delivers Kubernetes Namespace-as-a-Service, enabling self-service access, cost savings, and faster deployments through reusable, secure templates.
The page compares AKS and EKS as managed Kubernetes services and covers differences in pricing, scaling, and performance.
The page compares container orchestration tools, their features, and use cases, and describes how Rafay simplifies multi-cluster Kubernetes operations at scale.
The page compares polling for Kubernetes configuration drift with drift prevention and detection for large cluster fleets.
The Rafay Platform enables enterprises and cloud providers to launch a GPU Cloud to accelerate AI and cloud-native applications with self-service consumption of compute.
The page covers Rafay news, product announcements, and partner updates on GPU PaaS, AI infrastructure orchestration, and Kubernetes automation.
Rafay and NTT Data Unify AI Infrastructure with Self-Service GPU Orchestration for Next-Gen AI Deployments
Rafay helps enterprises and cloud providers build scalable, self-service AI platforms.
Apply for Director, Technical Program Management in EMEA
Apply for Enterprise Account Executive (US, Remote) in US
Rafay’s mission is to simplify AI and cloud infrastructure orchestration with self-service compute, governance, and GPU cloud automation.
Rafay and Netris Unify AI Infrastructure with Self-Service GPU Orchestration for Next-Gen AI Deployments
The Rafay Accelerate Partner Program supports AI, cloud, and Kubernetes outcomes with self-service, governed infrastructure.
Talk with Rafay about orchestrating GPU, Kubernetes, and AI infrastructure. Reach the team by email, social media, or the contact form.
Talk with a Rafay GPU PaaS expert about launching multi-tenant GPU cloud services, raising GPU utilization, and monetizing AI infrastructure.
Rafay turns GPU and CPU infrastructure into governed, self-service AI and cloud-native platforms for enterprises, neoclouds, and sovereign AI clouds.
Rafay’s Privacy Policy describes how the company collects, uses, protects, and manages personal information across its platform, services, and website interactions.
GitHubRepository owner