Why Rafay?
Rafay's focus on infrastructure orchestration and workflow automation simplify the operations and management of complex infrastructure consisting of both GPUs and CPUs. Prioritizing self-service consumption of cloud-native and AI use cases, developers and data scientists gain immediate access to critical accelerated computing resources.
Your Trusted Partner for Infrastructure Orchestration and Worklow Automation
We’re entering an era where every company is becoming an AI company, but infrastructure hasn’t kept up. Hyperscalers offer vast compute power, but enterprises and sovereign providers face fragmentation, cost escalation, and sovereignty challenges.
Rafay envisions a future where infrastructure is instantly consumable across GPUs, CPUs, and any compute environment. Self-service replaces ticket queues and manual provisioning, while enterprise-grade governance is intrinsic. This ensures soaring utilization of scarce resources, enabling enterprises to maximize investments. At the same time, cloud service providers achieve higher margins and utilization by launching GPU Clouds across the globe.
Is it difficult to dynamically allocate GPUs for data scientists and enable expeditious AI application delivery?
Are there infrastructure constraints preventing a team's abilities to efficiently manage cluster lifecycles for EKS, AKS, or GKE?
Are teams buried in manual tasks and updates for managing the Kubernetes lifecycle in a private data center?
Is it difficult to centrally define and enforce consistent configs and workflows across your entire infrastructure?
Is it difficult to dynamically allocate GPUs for data scientists and enable expeditious AI application delivery?
What to Expect when Working with Rafay
The flow chart diagram below is a typical journey Rafay supports for enterprises and cloud providers. First, customers standardize environments across all public and private clouds, centrally manage the lifecycle of all resources, and continuously optimize cloud costs. Next, customers enable the same for AI operations and provide self-service capabilities to developers and data scientists.
Key Differentiators
The Rafay Platform simplifies Kubernetes and AI infrastructure lifecycle operations across public clouds, private data centers, sovereign deployments, and the edge. Users can securely pool GPUs and CPUs into multi-tenant resources accessible across teams, while organizations can deliver custom compute and AI service SKUs on demand. By powering developer-ready experiences through a composable marketplace, enterprises not only operationalize infrastructure but also monetize it.
Build vs. Buy Advantage
Rafay reduces that complexity with an infrastructure orchestration and workflow automation platform–improving developer productivity, optimizing cluster and pipeline management processes, and launching multi-tenant capable GPU clouds in weeks, not years.
Unified Management Across Hybrid & Multi-Cloud
Unlike hyperscaler-native tools (e.g., AWS SageMaker, GCP Vertex AI, Azure ML) that are cloud-specific, Rafay’s unified PaaS stack supports Kubernetes, CPU, and GPU infrastructure across on-prem, public clouds, and air-gapped environments—delivering true hybrid and multi-cloud flexibility.
Built-in Automation & Self-Service Capabilities for Kubernetes and AI/ML
DIY Kubernetes setups or general-purpose platforms like Rancher, OpenShift, or Kubeflow often require complex configuration and maintenance. Rafay offers policy-driven automation, self-service access, and integrated developer tooling—removing operational bottlenecks and accelerating AI/ML delivery.
Purpose-Built for GPU & AI Workloads
While traditional platforms were designed for generic workloads, Rafay is purpose-built for GPU orchestration, distributed training, and GenAI inferencing—providing intelligent scheduling, cost attribution, and multi-tenant controls not available out-of-the-box with open-source stacks.
Infrastructure ROI in Weeks, Not Months
With built-in cost optimization, metering, and resource right-sizing, Rafay enables enterprises and GPU cloud providers to monetize idle GPU infrastructure quickly—turning CapEx into revenue-generating services far faster than internal builds or hyperscaler-native deployments.
Market-Leading Support
When blogs and community resources aren’t enough, partner with Rafay’s deep bench of certified cloud automation experts to jump-start & customize your application modernization journey.
Rafay Customers See and Feel the Benefits
The Definitive GPU PaaS Reference Architecture
Understand what it takes to deliver the right GPU infrastructure to your business.
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