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.
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.
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.
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.
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
The Rafay Platform elevates infrastructure to become a launchpad for innovation by transforming status compute into enterprise-grade, centrally governed, self-service environments.
This blog details the specific features of the Rafay Platform Version 4.0 Which Further Simplifies Kubernetes Management and Accelerates Cloud-Native Operations for Enterprises and Cloud Providers
In Part-2, we show how you can provide users the means to select fractional GPU memory.
This is Part-1 in a multi-part series on end user, self service access to Fractional GPU based AI/ML resources.
Find answers to your most pressing questions about self-service compute consumption.
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.
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.
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.
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.
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.
We're here to help you with any inquiries.
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