Product
use case
Scale Self-Service Compute Consumption with Confidence
Multi-tenancy controls, enterprise-grade governance, and compliance aren’t features, they’re foundations. The Rafay Platform ensures organizations (from Sovereign Clouds to enterprises) can operate infrastructure that power secure, compliant, and scalable AI and cloud native applications.
features
Unlock the Power of Self-Service Computing
The Rafay Platform allows developers to quickly provision compliant environments using standardized Infrastructure as Code (IaC) templates. This replaces ticket queues and eliminates the need for custom-built environments, ensuring consistency across teams.
Developer Hub for Instant Access
Provide developers and data scientists with instant, self-service access to Kubernetes clusters, GPU workspaces, and AI tools like Jupyter, Kubeflow, and Ray through a unified portal or API. With built-in RBAC and multi-tenancy, teams can move fast while staying within enterprise guardrails.
PaaS Studio for Standardized Service Templates
Visually design and publish reusable templates for infrastructure and applications from SLURM clusters to GenAI pipelines. These templates abstract away complexity and enforce policy-driven defaults, enabling repeatable and reliable deployments.
Integrated Governance, Quotas & Audits
Maintain full control with fine-grained RBAC, OPA policy enforcement, multi-tenancy, quotas, and real-time audits. Platform teams gain visibility into who is consuming what, with cost and usage tracking available via dashboards and APIs.
Benefits
Unlock the Future of Compute Consumption
The Rafay Platform elevates infrastructure to become a launchpad for innovation by transforming status compute into enterprise-grade, centrally governed, self-service environments.
- Faster Time-to-Market: Provision environments quickly and consistently so developers can focus on building, not waiting.
- Built-in Compliance: Every resource is automatically aligned with enterprise security policies, ensuring accountability across teams.
- Instant Access to AI Tools: Developers and data scientists get one-click access to curated environments like Jupyter, Ray, and Kubeflow, while platform teams maintain control with policy-driven defaults and audit trails.
- Maximized GPU Utilization: Run multiple workloads on shared infrastructure with GPU slicing (MIG, vGPU), quotas, and auto-scaling, driving efficiency and cost savings.
- Unified Operations Everywhere: Deliver the same self-service workflows across public clouds, private data centers, and sovereign air-gapped environments, all managed through Rafay’s zero-code PaaS Studio and single control plane.
Trusted by leading enterprises, neoclouds and service providers
Blog
Empower Your Compute Strategy
Discover the future of self-service compute solutions.
GPU/Neocloud Billing using Rafay’s Usage Metering APIs
Cloud providers offering GPU or Neo Cloud services need accurate and automated mechanisms to track resource consumption.
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Agentic AI is the next evolution of artificial intelligence—autonomous AI systems composed of multiple AI agents that plan, decide, and execute complex tasks with minimal human intervention.
Questions and answers about self-service compute consumption
Find answers to your most pressing questions about self-service compute consumption.
What is self-service compute?
Self-service compute allows users to provision and manage computing resources independently. This approach streamlines operations and enhances efficiency. It empowers teams to respond quickly to changing demands.
How does it work?
Users access a centralized platform to select and deploy resources. The system automates provisioning, reducing manual intervention. This leads to faster deployment times and lower operational costs.
What are the benefits?
The key benefits include increased agility, cost savings, and improved resource utilization. Teams can scale resources up or down as needed. This flexibility supports innovation and faster time-to-market.
Is it secure?
Yes, self-service compute platforms incorporate robust security measures. These include access controls, encryption, and compliance with industry standards. Your data and resources are protected throughout the process.
Who can use it?
Self-service compute is designed for enterprises and service providers alike. It can benefit teams across various departments, from IT to development. Anyone needing flexible computing resources can leverage this solution.
Still have questions?
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