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
GPU Platform-as-a-Service Reference Architecture
The definitive GPU PaaS Reference Architecture published alongside our friends at NVIDIA
Ecosystem Integrations
Explore a large body of ecosystem integrations developed and maintained by Team Rafay
Pricing
Pricing information for the Rafay Platform including FAQs
Capabilities
Enterprise-wide multi-tenancy
Support multiple enterprises, business units, teams, and developers all on one platform
Serverless inference
Deliver guardrails-based consumption of compute in an on-demand fashion
Services You Can Launch With It
AI Workbenches as a Service
Boost productivity with training, finetuning and AI model exploration workbenches
Landing Zones as a Service
Deliver self-service deployment of, and access to, developer-ready landing zones
K8s Clusters as a Service
Launch fully compliant, guardrails-based Kubernetes Clusters with a single click, complete with approval trails
Environment as a Service
Enable operations teams and developers to launch fully compliant, guardrails-based environments for immediate use
Namespace as a Service
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
Solutions
For enterprises
For enterprises running AI/ML or cloud-native workloads
Simplify infrastructure complexity and speed up AI and cloud-native app delivery.
For enterprises leveraging the public cloud
Streamline Kubernetes cluster lifecycle management across public clouds
For enterprises operating in private or hybrid clouds
Deploy and run cloud-native and AI workloads on premises or in hybrid environments with enterprise-grade controls, and multi-modal multi-tenancy
For Cloud Providers
Cloud service providers
Transform idle GPU infrastructure into revenue-ready AI and compute services with Rafay’s CSP-grade orchestration, self-service portals, and monetization tools
Sovereign AI Clouds
Deliver high-value AI use cases within sovereign border through a PaaS mode
Use cases
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
Accelerate Computing & AI Infrastructure Management
Deliver high-value use cases such as Model-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 to developers and data scientists
Resources
Docs and Thoughts
Product Documentation
A collection of insights from our experts on trending topics related to infrastructure managment and innovations
Rafay Blog
Insights on infrastructure orchestration, AI/ML, K8s management, and more
Downloadable Materials
Resource Library
Comprehensive collection of resources from analyst reports on market trends to video interviews
Whitepapers & Guides
Best practices for GPU PaaS deployments, Kubernetes management & AI infrastructure management
Case Studies
Real-world CSP & enterprise success stories
Must-Read Resources
GPU PaaS Reference Architecture
Get end-to-end Kubernetes operations and management
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
News & Events
Find Us in the News
Rafay leading the market for infrastructure innovation in Kubernetes, GPU and AI infrastructure management
Connect With Us at Events
Find the team at events worldwide and see a demo of the Rafay Platform
Careers
Browse Open Positions at Rafay
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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Author

Ankur Pandita

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Dynamic Resource Allocation for GPU Allocation on Rafay's MKS (Kubernetes 1.34)

Dynamic Resource Allocation for GPU Allocation on Rafay's MKS (Kubernetes 1.34)

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Services You Can Launch with Rafay Platform

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Solutions & Capabilities

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Resources

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