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.

In this lab we will explore F5 AI Guardrails which is a runtime security platform for generative AI and agentic AI systems, focused on securing the AI inference layer—the point where models receive prompts and generate outputs.

This lab will guide and educate you on what the F5 BIG-IP Next Cloud-Native Network Functions are, how they are deployed with NVIDIA DOCA, and how they will ultimately help show the gains in offloading traffic to DPUs instead of tying up resources for your applications on the CPU of the physical K8 host.

This lab will go into the basics of Retrieval Augmented Generation (RAG) through hands on access to a dedicated environment.

Explore the hidden dangers of prompt injection in Large Language Models (LLMs). This lab reveals how attackers manipulate LLMs to disclose private information and behave in ways that they were not intended to. Discover the intricacies of direct and indirect prompt injection and learn to implement effective guardrails.

Deploy secure, always-on AI agents in minutes using NVIDIA NemoClaw's single-command installer. In this hands-on lab, you'll install NemoClaw, configure NVIDIA OpenShell's privacy and security guardrails, and run your first autonomous agent powered by local open models like NVIDIA Nemotron. You'll see firsthand how policy-based controls govern agent behavior and keep sensitive data secure.

This lab will guide and educate you on what the F5 BIG-IP Next for Kubernetes is, how it is deployed with NVIDIA DOCA, and how it will ultimately help show the gains in offloading traffic to DPUs instead of tying up resources for your applications on the CPU of the physical K8 host.

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.

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, 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 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.

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.