The Operating Platform for the World’s Leading Neoclouds
Rafay helps neoclouds, telcos, sovereign AI clouds, and enterprises turn infrastructure into self-service, governed services across AI use cases and cloud-native applications. The Rafay Platform orchestrates Kubernetes, VMs, SLURM, bare metal, GPUs, and AI services with the multi-tenancy, policy controls, usage visibility, and automation required to scale from infrastructure to consumption.
Singular platform, multiple monetization options
The Rafay Platform unifies the operations and monetization of AI infrastructure into a singular control plane, empowering operators to run and make high margins off of their entire AI estate through a single pane of glass (and a single API framework) instead of a patchwork of point solutions.
The result is AI Factories that deliver hypercaler-grade user experience with enterprise controls to customers, while delivering higher margins to the business.
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 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.
