HPE Private Cloud AI with NVIDIA is an integrated, full-stack solution designed for AI workloads. The software layer, which includes HPE AI Essentials and NVIDIA AI Enterprise, is architected on cloud-native principles. Kubernetes serves as the foundational container orchestration platform. It automates the deployment, scaling, and management of containerized AI applications and machine learning models, providing the necessary agility and resilience for enterprise-grade AI development and inference at scale.

A. OpenShift is a specific enterprise distribution of Kubernetes. While compatible, Kubernetes is the more fundamental, underlying orchestration technology itself.

B. VMware ESXi is a Type-1 hypervisor used for creating and running virtual machines, not a platform for orchestrating containerized AI workloads.

D. Docker Swarm is a container orchestration tool, but the HPE and NVIDIA solution is standardized on the more widely adopted Kubernetes ecosystem for enterprise AI.

1. HPE Machine Learning Development Environment Solution Brief: "Built on the industry-leading open-source platform

Kubernetes

HPE Machine Learning Development Environment enables you to easily prepare

build

train

and deploy your models."

Source: HPE Machine Learning Development Environment - Solution Brief (Document ID: a00103888enw)

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"A Modern Software Platform for AI at Scale".

2. NVIDIA AI Enterprise Documentation: NVIDIA AI Enterprise is a cloud-native suite of AI software that is optimized for deployment on Kubernetes

which is the orchestration layer used in the joint HPE-NVIDIA solution.

Source: NVIDIA AI Enterprise - Technical Brief (Document ID: TB-10221-001v5)

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"NVIDIA AI Enterprise is optimized for mainstream data center platforms

including bare metal servers and virtualized infrastructure with Kubernetes."