Attendees joined HPE & NVIDIA AI Enterprise for a webinar to learn how Generative AI (GenAI) and Large Language Models (LLM), like ChatGPT, are easy to use, but can be difficult to tune and host. Organizations have questions like what GPU is best, what does it take to build and manage a cluster, and what software is needed to simplify building and deploying LLM solutions. Hewlett Packard Enterprise and NVIDIA AI Enterprise (NVAIE) have teamed up to deliver jointly engineered Generative AI and LLM solutions that run in your data center, behind your security, using your data!

The S|M|L|XL sized solutions include a complete software and hardware stack, purpose-built for prompt engineering, fine tuning, and LLM deployment.

NVIDIA AI Enterprise's software platform accelerates data science pipelines and deployment of production-grade generative AI applications. HPE's Generative AI Studio simplifies the process of RAG tuning open-source models like Meta Llama 3 and Mixtral to just three clicks! HPE assembles these bundled LLM solutions in the USA with HPE & NVIDIA Enterprise AI software, hardware, networking, and services so they are ready to go from loading dock to building LLM solutions in one week.

During the webinar, speakers explored the synergy of NVIDIA AI Enterprise and HPE through:

• Analyzing Federal Generative AI use cases
• Taking a deep dive into the components of built-for-purpose LLM cluster
• Providing an overview of the NVIDIA AI Enterprise (NVAIE) software platform
• Going into the ins/outs of the HPE AI at Scale Software integration with NVAIE
• Elucidating NVIDIA AI Enterprise & HPE jointly engineered bundles for LLM development and deployment
• Conducting a Demo of 3-click RAG fine tuning