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Containers

AI-optimised Cloud Containers

Enterprise AI Containers facilitates leveraging the strength of containers to execute AI workloads with unprecedented velocity, flexibility, and scalability. The Enterprise Cloud provides containerised environments preinstalled with industry-leading frameworks, GPU-optimised, and ready for model training, inference, or experimentation — all managed frictionlessly with Kubernetes.

Explore Cloud Containers services

Managed Kubernetes Services

Managed Kubernetes

Run and scale containerised apps seamlessly with fully managed Kubernetes on Enterprise Cloud
Managed Container Registry

Container Registry

Host, manage, and secure container images with CI/CD integration and access control for AI workloads.
GPU Worker Node AMD

GPU Worker Node AMD

Run large models seamlessly with ROCm-optimized AMD GPU worker nodes for Kubernetes.
GPU Worker Node NVIDIA

GPU Worker Node NVIDIA

Train and deploy AI models efficiently with NVIDIA H200 GPU nodes on Kubernetes.

Benefits of enterprise Containers services

Faster Time to AI
Spin up AI environments in seconds — no need to install dependencies or configure infrastructure.
Portability and Flexibility
Run AI containers across dev, test, and production environments without changes.
Scalable by Design
Easily scale model training, batch inference, or API deployments using Kubernetes orchestration.
Secure
Each container runs in an isolated environment with customizable resource limits, network policies, and user access controls.
Optimized for GPU and Accelerators
Out of the box support for GPU based workload.

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