Building an AI factory? Learn how the Rafay Platform's Token Factory capabilities can monetize AI services.

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The Platform
Discover the Rafay Platform
Overview & Deployment Options
The orchestration layer for GPU & CPU infrastructure
Why Rafay
Learn what makes the Rafay Platform the most selected option in the Kubernetes Management and AI Infrastructure Orchestration markets
Ecosystem Integrations
Explore a large body of ecosystem integrations developed and maintained by Team Rafay
Pricing
Pricing information for the Rafay Platform including FAQs
GPU Platform-as-a-Service Reference Architecture
The definitive GPU PaaS Reference Architecture published alongside our friends at NVIDIA
How It Works
For AI
Learn about the Rafay Platform's product suite for AI
For private cloud environments
Run secure, compliant AI workloads in private cloud environments without slowing development
For standardization
Centrally enforce the latest add-ons, policies and cost controls across all clusters and landing zones
For cost optimization
Continuously analyze usage and spending and automatically adjust resources
For public cloud environments
Consume EKS, AKS, GKE, and OKE with enterprise-grade controls
Applications & Capabilities
For AI infrastructure management
Easily manage the underlying AI infrastructure and AI/ML tooling data scientists need to innovate faster, with guardrails included
For cloud-native infrastructure management
For companies running AI/ML workloads in Kubernetes, the Rafay Platform simplifies the complexities of managing cloud-native environments
Enterprise-wide multi-tenancy
Support multiple enterprises, business units, and developers all on one platform
Token Factory
Deliver token-metered, API-driven model inference on governed, multi-tenant GPU infrastructure
Solutions
As-a-Service Offerings
Your infrastructure, delivered as-a-Service
Deliver Infrastructure-as-a-Service across any environment from K8s clusters to SLURM-as-a-Service, and more
Featured As-a-Service Materials
SLURM
Deliver SLURM clusters as elastic, multi-tenant HPC services
NVIDIA Blueprints
Transform NVIDIA NIM Blueprints info fully operational, consumable AI services
Kubernetes Clusters
Launch Kubernetes clusters with a single click, complete with approval trails
Baremetal GPUs
Enable elastic provisioning of bare metal GPU servers
By Use Case
Top Use Cases
Explore the use cases of the Rafay Platform
Kubernetes management
Get end-to-end Kubernetes operations and management
GPU cloud orchestration
Launch a multi-tenant GPU cloud that delivers self-service consumption of enterprise-grade AI use cases
Accelerated computing AI/ML (GenAI)
Deliver high-value use cases such as models-as-a-service, ML workbenches, distributed training platforms, and more
Self-service compute consumption
Deliver guardrails-based consumption of compute in an on-demand fashion for developers and data scientists
By Teams
Enterprises in the private cloud
Deploy and run cloud-native and AI workloads on premises or in hybrid environments with enterprise-grade controls and multi-modal multi-tenancy
Enterprises in the public cloud
Streamline Kubernetes cluster lifecycle management across public clouds
Enterprises running AI/ML or cloud-native workloads
Simplify infrastructure complexity and speed up AI and cloud-native app delivery
Cloud providers
Transform idle GPU infrastructure into revenue-ready AI and compute services
Sovereign clouds
Deliver high-value AI use cases within sovereign borders through a PaaS mode
Neoclouds
Neoclouds use the Rafay Platform to launch CSP-grade services without building from scratch
Resources
Documentation and Blog
Product Documentation
Technical information and updates on the Rafay Platform
Rafay Blog
Read articles on infrastructure orchestration, Rafay Platform updates, and more
Downloadable Materials
Resource Library
Access white papers, analyst reports, video interviews, and more
Whitepapers & Guides
Best practices for GPU PaaS deployments, Kubernetes management, and more
Case Studies
Real-world CSP & enterprise success stories
Must-Read Resources
GPU PaaS Reference Architecture
The definitive GPU PaaS Reference Architecture published alongside our friends at NVIDIA
Whitepaper: Powering GPU Clouds eBook
How Rafay Powers GPU Clouds
Whitepaper: Sovereign AI Requirements by NVIDIA & Accenture
Building AI value within borders. Accenture & NVIDIA feat. Rafay's orchestration layer
Transform Cisco AI Pods into a Self-Service GPU Cloud
Unlock your AI potential to deliver sovereign and enterprise AI clouds
Company
About Us
Learn About Rafay
Why we’re here, company values, history
Contact Us, Anytime
Connect with our experts
Meet our Customers
Get inspired by the enterprises and cloud providers who operate the Rafay Platform in production
Meet our Partners
Meet our go-to-market and technology partners across the world
Latest News & Upcoming Events
News
Press releases and news articles
Events
Find the team at events worldwide and see a demo of the Rafay Platform
Careers
Browse Open Positions
Join us in building the Rafay Platform
Services
Ensure Your Success
Professional Services
Accelerate platform deployment and time-to-value
Practitioner Skills Development
Training and Certifications
Empower your teams to operate Rafay with confidence
Community Commitment
Open Source
Providing open innovation that leads to the next great idea
Always Available
Support
24/7 access to Rafay’s customer success and technical experts
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Elevating infrastructure together

Rafay + Trace3

Rafay and Trace3 Unify AI Infrastructure with Self-Service GPU Orchestration for Next-Gen AI Deployments
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Rafay and Trace3 together help enterprises modernize and scale cloud-native and AI workloads with confidence. Trace3’s deep expertise in digital transformation and integration, combined with Rafay’s platform, simplifies the deployment and operation of AI infrastructure across hybrid environments. The partnership enables faster innovation while maintaining consistency, security, and operational excellence.

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