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# Accelerate Cloud-Native Adoption

Leverage the Rafay Platform to standardize and centralize landing zones and Kubernetes environments, deliver self-service workflows, and keep infrastructure costs low.

## Cloud-native application delivery is simpler and more secure.

Enterprises running AI/ML workloads in private cloud environments face a constant trade-off: deliver fast, flexible infrastructure or maintain strict security, compliance, and operational control. Speed often comes at the cost of governance. Rafay eliminates that trade-off. With a powerful automation and orchestration layer, Rafay enables enterprise teams to run secure, compliant AI and GenAI workloads in private cloud environments—without compromising agility or slowing down innovation.

## Standardize and centralize Kubernetes management

Rafay enables platform teams to [**standardize every aspect of a cloud environment’s configuration**](/content/platform/standardization-suite/index.html) – cluster & environment configs, resource allocation, approved addons, access controls, security policies, and much more – in one place.

## Put EKS/AKS/GKE lifecycle management on autopilot

Rafay allows a small, central team to easily manage the lifecycle of all Kubernetes clusters and cloud resources being used by multiple BUs and hundreds of app teams, [**hosted across public clouds**](/content/platform/public-cloud-suite/index.html) (AWS, Microsoft Azure, Google Cloud, Oracle Cloud and more). This enables end-to-end lifecycle management automations that eliminate the need for specialized teams.

## Operate an EKS-like service in your data center

Why not have the same, great, public cloud-like managed Kubernetes experience but in your own data center?

Rafay provides turnkey management of Kubernetes resources hosted in [**private, remote, or edge clouds**](/content/platform/private-cloud-suite/index.html) (including bare metal, VMware vSphere, local VMs, and support for their networking and storage needs). Now, your team can focus on higher-value work rather than the menial tasks of keeping Kubernetes operational.

## Rightsize Kubernetes clusters and apps proactively

[**Optimize cloud cost**](/content/platform/cloud-cost-optimization-suite/index.html) by detecting and fixing resource allocation issues through intelligent policy-driven controls for workload management. This ensures Kubernetes and cloud resources are rightsized for better application utilization, performance and cost efficiency.

## Focus on innovation, not on Kubernetes automation

The Rafay Platform stack helps platform teams manage Kubernetes and cloud environments, across all private and public clouds–helping companies realize the following benefits:

### Unified Infrastructure Control

Manage Kubernetes environments consistently across cloud (EKS, GKE, AKS) and on-prem environments.

### Data Sovereignty & Isolation

Enforce strict data residency, security, and workload isolation—ideal for regulated industries.

### Air-Gapped Operability

Enable disconnected environments with complete lifecycle management, even without internet access.

### Tooling Compatibility

Seamlessly integrate with enterprise CI/CD pipelines, observability tools, networking frameworks, and security stacks.

### Developer Empowerment

Provide GPU-powered, secure, and compliant workspaces for AI/ML development with streamlined, self-service access.

### Higher GPU Utilization, Lower Costs

Drive up GPU usage and eliminate idle capacity with automated provisioning and shared resource pools—reducing operational overhead and TCO.

## 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.

[DOWNLOAD](/content/resources/white-papers/how-enterprise-platform-teams-accelerate-ai-ml-initiatives/index.html) [More Resources](/content/resources/resource-library/index.html)

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## Start a conversation with Rafay

Talk with Rafay experts to assess your infrastructure, explore your use cases, and see how teams like yours operationalize AI/ML and cloud-native initiatives with self-service and governance built in.

[Start a Conversation](/content/start/index.html)