The Rafay Platform
Infrastructure Orchestration and Workflow Automation for Cloud-Native and AI Innovations
Enterprises and cloud providers use the Rafay Platform to support the most critical cloud-native and AI use cases. The Rafay Platform provides self-service consumption of compute and application workflows, along with complete lifecycle management of Kubernetes clusters, GPUs, and bare metal servers.
With cost optimization and multi-tenancy capabilities built in, Rafay customers can deliver CSP-grade environments and experiences for self-service consumption by developers and data scientists in weeks, not years. Customers report 4x faster deployments, 63% lower cloud costs, and 85% less time spent on upgrades.
Automated Infrastructure Operations Make Compute Instantly Consumable
Combat infrastructure lifecycle management complexity. Bring relief to frustrated developers and peace of mind to enterprises and cloud service providers with the Rafay Platform. Cloud-native and AI workload teams can effortlessly manage compute resources in a cloud-like experience across any environment–automating complex operations and accelerating time-to-market.
Standardization suite
Centrally enforce enterprise-grade policies and CCOE-approved configuration and software manifests, cost controls, etc. the latest addons, policies and cost controls across all environments, clusters and landing zones.
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Public Cloud Suite
Automate the lifecycle management of managed Kubernetes services available in public clouds (e.g. EKS, AKS, & GKE) with enterprise-grade controls, highly customizable fleet management capabilities, and more.
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Private Cloud Suite
Leverage Rafay’s turnkey, fully-managed Kubernetes distribution that scales to meet the needs of the largest enterprises and the most complex service provider environments.
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Cost Optimization Suite
Centralize visibility and attribution of costs to downstream customers and users, along with the application policies to keep overall costs in check.
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AI Suite
Provide a turnkey MLOps platform to internal and external users with built-in AI workbenches that data scientists and researchers can leverage on demand across GPUs and CPUs.
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Transform Under-Utilized Infrastructure into Revenue Engines
AI infrastructure and GPUs aren't an expense; they present an opportunity. The Rafay Platform empowers businesses to deliver CSP-grade use cases to users – from virtual machines to K8s clusters to ML workbenches to high-value, large-language models (LLMs), all delivered as a service – that drive high utilization and high margins.
Self-Service Compute Consumption
Deliver self-service experience across public clouds and data center environments. Developers get self-service access to compute and tooling needed to move fast and experiment, while platform teams maintain full control, governance, and cost-efficiency.
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Accelerated Computing and AI Infrastructure Management
With a vast library of Generative AI, compute consumption and infrastructure management built in, enterprises and service providers can deliver “as a Service” experiences at each layer of the stack without investing in massive teams and multiple quarters.
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GPU Cloud Orchestration
Cloud providers, neoclouds and Sovereign AI clouds who have partnered with Rafay are leading the charge to deliver CSP-grade use cases to their user communities. From agentic applications, ML workbenches, models as a service, to highly tuned virtual machines, K8s clusters and baremetal servers, Rafay is the partner of choice for the most innovative GPU providers in the world.
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Accelerate the development of cloud-native and AI applications without infrastructure limitations.
Learn why so many enterprises and service providers choose the Rafay Platform for their modern infrastructure needs With the Rafay Platform, customers:
- Improve productivity – Developers cut deployment cycles from months to days – customers report up to 4x faster deployments
- Move faster – Rafay customers report launching self-service, multi-tenant GPU clouds in less than a quarter
- Lower costs – Built-in chargeback, governance, and cost-optimization controls maximize scarce resources and boost utilization
- Drive peak efficiency – With Rafay, just a few platform engineers can oversee the operations of thousands of clusters and pipelines
The Definitive GPU PaaS Reference Architecture
Understand what it takes to deliver the right GPU infrastructure to your business.
