For AI Infrastructure Management

Accelerate AI Adoption with a
GPU PaaS™ and MLOps Tooling

The Rafay Platform stack helps instantly monetize GPU infrastructure and speed up AI application delivery–while unlocking new revenue streams, improving profitability, and keeping systems secure.

AI application delivery has never been easier.

While many GPUs are underutilized, The Rafay Platform stack ensures AI application delivery is faster, more accurate, and more secure than ever–giving companies the competitive edge they need to take hold of evolving GenAI initiatives in the business. Whether a GPU cloud or sovereign cloud provider, The Rafay Platform supports national data sovereignty, residency, and compliance requirements so teams can worry less about infrastructure, and focus their energy on innovation.

Launch a customizable GPU PaaS in days

Accelerate your time-to-market with high-value NVIDIA hardware by rapidly launching a PaaS for GPU consumption, complete with a customizable storefront experience for your internal and external customers.

Deliver a SageMaker-like experience anywhere

Transform the way you build, deploy, and scale machine learning with Rafay’s comprehensive MLOps platform that runs in your data center and any public cloud.

Provide self-service AI Workbenches to data scientists

Data scientists can quickly access a fully functional data science environment without the need for local setup or maintenance. They can be more productive, sooner, by focusing on coding and analysis rather than managing AI infrastructure.

Consume a scalable, cost-effective GenAI playground to enable experimentation

Help developers experiment with GenAI by enabling them to rapidly train, tune, and test large models, along with approved tools such as vector databases, inference servers, etc.

Focus on AI innovation, not infrastructure

The Rafay Platform stack helps platform teams manage AI initiatives across
any environment–helping companies realize the following benefits:

Harness the Power of AI Faster

Complex processes and steep learning curves shouldn’t prevent developers and data scientists from building AI applications. A turnkey MLOps toolset with support for both traditional and GenAI (aka LLM-based) models allows them to be more productive without worrying about infrastructure details

Reduce the
Cost of AI

By utilizing GPU resources more efficiently with capabilities such as GPU matchmaking, virtualization and time-slicing, enterprises reduce the overall infrastructure cost of AI development, testing and serving in production.

Increase Productivity for Data Scientists

Provide data scientists and developers with a unified, consistent interface for all of the MLops and LLMOps work regardless of the underlying infrastructure, simplifying training, development, and operational processes.

Download the Reference Architecture
GPU PaaS Reference Architecture

AI application delivery has never been easier. Download the blueprint today.

Most Recent Blogs

Image for Powering GPU Cloud Billing: Rafay + Monetize360 Integration

Powering GPU Cloud Billing: Rafay + Monetize360 Integration

June 16, 2025 / by Mohan Atreya

In the fast-evolving world of GPU cloud services and AI infrastructure, accurate, flexible, and real-time billing is no longer optional — it’s mission critical. That’s why Rafay has partnered with Monetize360 to deliver an end-to-end pricing, billing, and revenue management… Read More

Image for Slash EKS Cluster Costs by 20-30% Instantly with AWS Graviton

Slash EKS Cluster Costs by 20-30% Instantly with AWS Graviton

June 24, 2025 / by Mohan Atreya

If you’re running Kubernetes workloads on Amazon EKS backed by Intel-based instances, you’re leaving significant savings on the table. In this blog, we will look at how many Rafay customers have been able to immediately cut compute costs by ~20-30% with minimal… Read More

Image for What Is a Sovereign Cloud and Why Does It Matter?

What Is a Sovereign Cloud and Why Does It Matter?

June 24, 2025 / by

A sovereign cloud is a cloud computing solution that ensures data remains within a country’s borders and complies with local laws. By adhering to strict regulations, sovereign clouds provide enhanced security and data governance crucial for industries like government, healthcare,… Read More