Rafay

Rafay is an Infrastructure Orchestration & Workflow Automation Platform that powers GPU cloud environments with a turnkey GPU PaaS solution. It helps enterprises and service providers deploy, scale, and manage AI workloads with ease.

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At a glance

Pricing

Paid · Enterprise

Free tier

API

Yes

Skill level

Technical

About

What is Rafay?

Rafay is an Infrastructure Orchestration & Workflow Automation Platform designed to simplify the deployment, scaling, and management of AI workloads. It offers a turnkey GPU PaaS solution, enabling enterprises and service providers to build AI factories and monetize AI services through its Token Factory capabilities. The platform provides an orchestration layer for GPU & CPU infrastructure, supporting secure and compliant AI workloads in private and public cloud environments. Key features include AI infrastructure management, cloud-native infrastructure management, enterprise-wide multi-tenancy, and various as-a-Service offerings like SLURM, NVIDIA Blueprints, and Kubernetes Clusters. Rafay aims to abstract complexity, enhance developer productivity, and optimize costs for AI and cloud-native use cases.

Best used for

Ideal for enterprises and service providers who need to deploy, scale, and manage AI workloads, orchestrate GPU cloud environments, and monetize AI services. Especially valuable for organizations looking to build AI factories with token-metered access and ensure secure, compliant operations across hybrid/multi-cloud environments.

Common actions

orchestrate infrastructure

manage AI workloads

deploy GPU clouds

automate workflows

optimize cloud costs

Capabilities

Key features

GPU PaaS solution
AI infrastructure management
Multi-tenancy support
Token Factory for monetization
Kubernetes management
Cost optimization
Workflow automation

Target Audience

developerdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Paid · Enterprise

Not publicly disclosed. Check rafay.co for current pricing.

FAQs

What is Rafay's Token Factory?

Rafay's Token Factory enables the delivery of token-metered, API-driven model inference on governed, multi-tenant GPU infrastructure. It allows businesses to monetize AI services by providing built-in metering, pricing, and governance, transforming GPU investments into revenue-ready AI services.

How does Rafay support AI workloads in private clouds?

Rafay allows users to run secure, compliant AI workloads in private cloud environments without slowing development. It provides enterprise-grade controls and multi-modal multi-tenancy, simplifying the deployment and management of cloud-native and AI workloads on-premises or in hybrid setups.

What kind of infrastructure does Rafay orchestrate?

Rafay orchestrates both GPU and CPU infrastructure, offering a comprehensive platform for managing underlying AI infrastructure and AI/ML tooling. It supports various compute services including Bare Metal, Virtual Machines, SLURM, Kubernetes, and Serverless Pods, across hybrid and multi-cloud environments.

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This tool also appears in

AI Agents & Automation › AI Frameworks & Infra Productivity & Business › Workflow Automation

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