In this lab, you will walk through an on‑premises solution for serving your private cloud AI system using VMware Private AI. Building on the foundational components of VMware Cloud Foundation (VCF), VMware Private AI leverages Tanzu Kubernetes to deliver a streamlined, enterprise‑ready platform. This solution is designed to help you accelerate your AI journey by enabling scalable, secure, and efficient deployment of AI workloads within your private cloud environment.

This lab is intended to give you an overview of HPE Private Cloud AI, HPE's turnkey solution for on-prem AI workloads. HPE has paired with NVIDIA's AI Enterprise software giving customers a scalable on-prem solution that can handle multiple different AI workloads from Inference, RAG, model fine-tuning, and model training.

This hands-on lab provides a comprehensive introduction to NVIDIA Run:ai, a powerful platform for managing AI workloads on Kubernetes. Designed for AI practitioners, data scientists, and researchers, this lab will guide you through the core concepts and practical applications of Run:ai's workload management system.

NVIDIA's AI Blueprint for RAG is a foundational guide for developers to build powerful data extraction and retrieval pipelines. It leverages NVIDIA NeMo Retriever models to create scalable and customizable RAG (Retrieval-Augmented Generation) applications. This blueprint allows you to connect large language models (LLMs) to a wide range of enterprise data, including text, tables, charts, and infographics within millions of PDFs. The result is context-aware responses that can unlock valuable insights. By using this blueprint, you can achieve 15x faster multimodal PDF data extraction and reduce incorrect answers by 50%. This boost in performance and accuracy helps enterprises drive productivity and get actionable insights from their data.

In this lab a customer will deploy the Daily Ops Summary Agent on the HPE Private Cloud AI instance in the ATC. The Daily Ops Summary Agent is built on top of the NVIDIA NeMo Agent Toolkit and leverages Open AI OSS NIMs under the hood. Leveraging representative data from IT Ops Service Management Platform, the Daily Ops Summary Agent brings the most relevant information from both Incident and Change management into an intelligent report for operation specialists.

In this lab a customer will deploy the Incident Knowledge Assistant on the HPE Private Cloud AI instance in the ATC. This Assistant is built on top of the NVIDIA NeMo Agent Toolkit and leverages Open AI OSS NIMs under the hood. Leveraging representative data from an IT Service Management Platform, the Incident Knowledge Assistant identifies the most relevant information from Incident, Change and Problem Management as well as the Knowledge Base to provide fast targeted guidance for IT Operations specialists.

In this lab, customers will deploy the Intelligent Resource Optimizer on the HPE Private Cloud AI instance in the ATC. Built using the NVIDIA NeMo Agent Toolkit and powered by Open AI OSS NIMs, this solution moves beyond static analysis to proactive infrastructure management. By integrating a specialized Time Series model, the Intelligent Resource Optimizer analyzes historical system utilization to accurately forecast future resource demands. This allows IT Operations teams to receive data-driven recommendations for scaling and optimization, ensuring peak performance and cost-efficiency across the environment.

This environment provides a highly performant environment to test the deployment and tuning of different NVIDIA NIMs and Blueprints.

This is part of the DGX Super/Base Pod Day 3 Operations Learning path, which will focus on educating the learner on how to deploy a workload Kubernetes cluster from within base command manager. It is preferred you have some experience with Kubernetes before attempting this lab.

In this lab a customer will deploy a NVIDIA NIM to the HPE Private Cloud AI instance in the ATC. This lab will not only walk the customer through how to deploy a black-forest-labs/FLUX.1-dev NIM (image generation NIM), but also how to interact with the kubernetes layer (Ezmeral) that is engraved in the HPE solution.

Welcome to the "NVIDIA Run:ai for Platform Administrators" lab, a hands-on lab designed to help you explore the architecture and operational workflows behind NVIDIA Run:ai. Whether you're a platform engineer, systems administrator, or just someone interested in the NVIDIA Run:ai platform, this lab will walk you through the core concepts that power NVIDIA Run:ai and give you the practical skills to deploy and manage the NVIDIA Run:ai platform.

In this lab a customer will deploy the Patch & Vulnerability Prioritization Agent on the HPE Private Cloud AI instance in the ATC. This Assistant is built on top of the NVIDIA NeMo Agent Toolkit and leverages Open AI OSS NIMs under the hood. Leveraging representative data from an IT Service Management Platform, the Patch & Vulnerability Prioritization Agent