Your Infrastructure, Delivered as-a-Service

Rafay provides the foundation for delivering infrastructure “as a service” across private, public, and sovereign environments. From Kubernetes-as-a-Service to Bare Metal-as-a-Service and SLURM-as-a-Service, Rafay lets you define repeatable service blueprints that are governed, multi-tenant, and instantly consumable—no matter where the infrastructure runs.

Launch cloud-like services on any infrastructure

AI Workbenches

Rapidly experiment with, iterate across, and deploy AI models.

Landing Zones

Provide all cloud users with self-service access to landing zones using proven templates with guardrails.

Kubernetes Clusters

Launch fully-compliant Kubernetes clusters in a single click, complete with approval trails.

SLURM

Deliver SLURM clusters as elastic, multi-tenant HPC services with lifecycle automation and governance.

Jupyter Notebooks

Offer governed, on-demand JupyterLab environments for data science, AI and ML teams.

Environments

Enable operations teams and developers to launch guardrails-based environments for immediate use.

Namespaces

Deliver self-service access to secure, lateral escalation-safe namespaces on-demand using proven templates with guardrails included.

Serverless Pods

Provide on-demand, customizable compute environments without the overhead of maintaining multiple templates.

NVIDIA Blueprints

Transform NVIDIA NIM Blueprints into fully operational, self-service AI services.

Baremetal GPUs

Enable elastic, self-service provisioning of bare metal GPU servers with governance, visibility, and metering built in.

Models

Deploy, scale, and manage inference endpoints for large language models (LLMs) and other AI workloads.

NIM-Powered Marketplace

Built on NVIDIA NIM and orchestrated by Rafay, this solution allows telcos to launch branded AI marketplaces where enterprises can select, deploy, and consume AI services instantly.

Inference

Enable providers and enterprises to deploy, scale, and monetize GPU-powered inference endpoints optimized for large language models (LLMs) and generative AI applications.

Virtual Machines

Deliver GPU- or CPU-based virtual machines as secure, scalable, and consumption-based services.

Trusted by leading enterprises, neoclouds and service providers

Featured Resources

Operationalizing AI Fabrics with Aviz ONES, NVIDIA Spectrum-X, and Rafay

Discover the new AI operations model available to enterprises that enables self-service consumption and cloud-native orchestration for developers.
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The Definitive GPU PaaS Reference Architecture

Understand what it takes to deliver the right GPU infrastructure to your business.
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Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud

Cisco provides AI-optimized infrastructure. Rafay makes it usable across teams, tenants, and use cases in days.
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The CIO’s guide to scalable, compliant, and developer-ready AI deployment

Orchestrating the future of AI: The CIO’s guide to scalable, compliant, and developer-ready AI deployment
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Rafay Named Outperformer in 2025 GigaOm Radar Report for Managed Kubernetes

The latest Radar report from GigaOm, Managed Kubernetes Rafay is ranked as an “Outperformer” for its solution.
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Building AI Value within Borders

Rafay's central orchestration platform facilitates efficient, self-service infrastructure and AI application management.
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GPU cloud evaluation report

Evaluating how the Rafay Platform delivers a GPU cloud for enterprises and cloud service providers by PivotNine.
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How Enterprise Platform Teams Can Accelerate AI/ML Initiatives

This paper explores the key challenges that organizations experience supporting these initiatives, as well as best practices for successfully leveraging Kubernetes to accelerate AI/ML projects.
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