AIPG: Dell Reference Architecture for Generative AI with NVIDIA

The Dell Reference Architecture environment is a full-stack solution that includes Dedicated Dell PowerSwitch High-Speed Networking, Dell PowerEdge Accelerator Optimized Compute nodes (XE9680 and R760xa servers), and Dell PowerScale Storage (F600 Array) as the hardware components and includes multiple MLOps and Kubernetes Platform solutions. We invite customers to evaluate the full-stack solution from a management standpoint along with a performance validation component. The environment is enabled with NVIDIA H100 GPUs and NVIDIA L40s GPUs.  The NVIDIA AI Enterprise software platform can be applied to the environment, or a customer can choose what MLOps and Kubernetes solutions they would like.  Power consumption and performance metrics can also be a part of the lab build and testing.

This online lab introduces participants to the comprehensive Dell Reference Architecture, specifically designed for generative AI applications, leveraging the power of Nvidia technologies. The lab's environment, equipped with state-of-the-art hardware and software components, aims to:

Familiarize with Dell-Nvidia AI Stack: Provide a deep dive into the Dell PowerEdge Accelerator Optimized Compute nodes, Dell PowerSwitch High-Speed Networking, and Dell PowerScale Storage solutions, all integrated with NVIDIA H100 and L40s GPUs for unmatched performance and scalability in AI workloads.

Enable Hands-On Configuration and Deployment: Empower customers to size, configure, and deploy the Dell Reference Architecture within their data centers, ensuring they can efficiently build AI use cases tailored to their specific needs.

Explore MLOps and Kubernetes Platforms: Offer a sandbox to experiment with various MLOps and Kubernetes solutions within the reference architecture, allowing for the exploration of management and orchestration tools that streamline AI workflows.

Validate Performance and Efficiency: Facilitate performance validation and power consumption analysis, enabling customers to measure and understand the efficiency and scalability of their AI models when deployed on this full-stack solution.

Customization and Flexibility: Allow customers the flexibility to apply the NVIDIA NVAIE framework or select their preferred MLOps and Kubernetes platforms, ensuring a personalized and relevant learning experience.

Accelerate AI Deployment: By providing an environment that mirrors real-world data center operations, the lab accelerates the deployment of generative AI applications, from initial concept to full-scale implementation.

This lab is designed not just as a learning platform but as a critical resource for organizations aiming to leverage the combined power of Dell and Nvidia for cutting-edge AI development. Participants will leave with the skills and insights needed to advance their AI projects, optimizing their data center operations for generative AI tasks.

• Dell PowerEdge XE9680 (HGX System)
• Dell PowerEdge R760s w/ Nvidia L40 GPU's
• Dell PowerScale F600 Array
• Dell PowerSwitch S5232-ON Switches