Accelerate Cloud-Native Infrastructure Management
Running AI/ML workloads on Kubernetes? Rafay's infrastructure orchestration and workflow automation platform simplifies the complexities of managing cloud-native environments.
The Rafay Platform’s multi-tenant foundation speeds up innovation through faster experimentation, faster shipment of new capabilities and features, reduction in infrastructure waste, increased utilization and the manifestation of better business outcomes.
With Rafay, platform engineering teams deliver self-service consumption to developers and data scientists, enforce governance and control across hybrid environments, and keep infrastructure costs low. Standardize landing zones, centralize Kubernetes environments, and more.
Take Control Over Kubernetes and Cloud Environments
The Rafay Platform simplifies cloud infrastructure management by introducing workflow automation and orchestration between compute resources and AI workloads.
Enable Self-Service
Access
Deliver secure, compliant workspaces for AI/ML development with streamlined, self-service access, achieving 46x faster deployments on average.
Maintain Tooling
Compatibility
Integrate seamlessly with CI/CD pipelines, observability tools, networking frameworks, and security stacks, enabling a 10x increase in operational scalability.
Drive Higher GPU Utilization, Lower Costs
Automate provisioning and pool resources to maximize GPU usage and eliminate idle capacity, reducing operational overhead and cutting TCO by 30% on average.
Unlock the Power of Automated Infrastructure Scaling and Monitoring
Streamline your Kubernetes management with our cutting-edge software. Experience seamless operations and enhanced efficiency across all environments.
4x
faster cluster and add-on upgrades and patches *
Standardize and centralize Kubernetes management
Enable platform teams to standardize every aspect of cloud environment configuration, from cluster and environment configs, resource allocation, approved add-ons, access controls, and more.
100%
compliant clusters *
Operate an EKS-like service in your data center
The Rafay Platform provides turnkey management of Kubernetes resources hosted in private, remote, or edge environments (including bare metal, VMware vSphere, and local VMs). Teams can focus on higher-value work rather than the repetitive tasks of keeping Kubernetes operational.
30%
increase in productivity with Fleet-based automated workflows *
Put EKS/AKS/GKE lifecycle management on autopilot
Easily manage the lifecycle of all Kubernetes clusters and cloud resources across multiple business units and app teams, hosted in public clouds. This enables end-to-end automation, eliminating the need for specialized teams.
* Rafay Customer Average
Trusted by leading enterprises, neoclouds and service providers
Benefits
The Future of Cloud Management is Here
With the Rafay Platform, organizations accelerate time-to-market by moving from hardware to production in weeks instead of months. Platform engineering teams operate far more efficiently, often shrinking in size while supporting larger, more complex environments. Developers gain back 20–25% of time previously lost to infrastructure setup, fueling faster innovation. At the same time, enterprises cut cloud costs and drive higher GPU utilization, ensuring every investment delivers maximum value.
"With Rafay, we have complete peace of mind that our K8s clusters & apps are operating efficiently and securely."
Our focus on democratizing AI across India demands for us to move at lightning speed to deliver high-value data science experiences to developers. In working with NVIDIA and Rafay to deliver a PaaS for AI and GPU consumption, we are delivering the self-service experience developers and enterprises across India are looking for.
“We are able to deliver new, innovative products and services to the global market faster and manage them cost-effectively with Rafay.”
We are thrilled to have collaborated with NVIDIA and Rafay in evaluating, and defining requirements for, a Platform-as-a-Service layer for AI application consumption. As part of the Indosat group, Lintasarta is playing a crucial role in not only paving the way for us to become an AI-native TechCo, but is also playing a leadership role in the industry to help steer the AI revolution in the right direction.
“One single tool, one single process, one single knowledge base helps us achieve efficiency. Less chaos, less complexity.”
Our work with Rafay in publishing the Platform-as-a-Service (PaaS) reference architecture gives enterprises, NVIDIA Cloud Partners (NCPs) and other GPU Cloud providers a path to delivering accelerated computing infrastructure, along with AI applications, in days. With the AI market moving so fast, time-to-market is key, and the Rafay Platform is a powerful enabler for NVIDIA customers looking to move fast.
"Rafay has streamlined the management and operations of 100+ Amazon EKS clusters while helping us enable developer self-service."
"Choose packaged software distributions or cloud-managed services for production deployments that integrate different technology components, simplify life cycle management of that stack and provide multi-cloud management rather than a DIY approach."
"Rafay’s thought leadership and white glove support has been fantastic."
"The big draw was that you could centralize the lifecycle management & operations."
“Rafay was up and running quickly, easy to use, and allowed us to deploy & manage standardized clusters anywhere."
"Easily operate and rapidly deploy applications anywhere across multi-cloud and edge environments."
"Rafay stood out from the crowd with their deep integration with Amazon EKS."
"Rafay’s unified view for Kubernetes Operations & deep DevOps expertise has allowed us to significantly increase development velocity."
How Enterprise Platform Teams Can Accelerate AI/ML Initiatives
This paper explores the key challenges that organizations experience supporting these initiatives, as well as best practices for successfully leveraging Kubernetes to accelerate AI/ML projects.
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