This lab introduces participants to the comprehensive Dell Reference Architecture, designed explicitly for generative AI applications, leveraging the power of AMD technologies. The lab's environment, equipped with state-of-the-art hardware and software components, aims to:
Familiarize with Dell-AMD 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 MI300 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 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: Customers can apply the AMD ROCm 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 AMD for cutting-edge AI development. Participants will leave with the skills and insights needed to advance their AI projects and optimize their data center operations for generative AI tasks.
