The Rafay platform - For Sovereign Clouds

Sovereign Cloud Infrastructure for AI

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 fast becoming the global partner of choice for the most innovative GPU providers in the world.

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For Sovereign Clouds

Empower Local Innovation with Secure, Compliant AI Infrastructure

Full lifecycle management of Kubernetes, GPUs, and bare metal servers
Secure, multi-tenant environments with built-in governance
Model catalog and fine-tuning workflows
Partner-ready portals and marketplace integration

Supporting Features

Sovereign-Ready Orchestration Accelerates AI Application Delivery

Enable usage-based pricing with auditable GPU and AI resource metering
Deliver branded, multi-tenant portals for sovereign AI users
Serverless & dedicated inferencing at the edge or core
Deploy in air-gapped or restricted environments with strict access controls

Key Benefits Sovereign Cloud Providers Can Expect with the Rafay Platform

Orchestrate across any environment or app

Provide the infrastructure elasticity, scalability, automation and reliability needed for high efficiency AI application delivery.

Invest in domestic infrastructure

Government and national-issue driven organizations can advance their own economies safely.

Control compliance

Industry leaders can control compliance across their value chains with AI solutions tailored to industry-specific needs.

Achieve faster time-to-value

Scalable infrastructure is now enforced with the necessary sovereign controls on data, models and agents.

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Unlock the Next Step: From Cisco AI PODs to Self-service GPU Clouds with Rafay

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Dynamic Resource Allocation for GPU Allocation on Rafay's MKS (Kubernetes 1.34)

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GPU/Neocloud Billing using Rafay’s Usage Metering APIs

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