At Supercomputing 23 in Denver, HPE announced a supercomputing solution for generative AI designed for large enterprises, research institutions, and government organizations to accelerate the training and tuning of artificial intelligence (AI) models using private data sets.
Key elements:
- AI/ML acceleration software – A suite of three software tools will help customers train and tune AI models and create their own AI applications.
- HPE Machine Learning Development Environment is a machine learning (ML) software platform that enables customers to develop and deploy AI models faster by integrating with popular ML frameworks and simplifying data preparation.
- NVIDIA AI Enterprise for security, stability, manageability, and support. It offers extensive frameworks, pretrained models, and tools that streamline the development and deployment of production AI.
- HPE Cray Programming Environment suite offers programmers a complete set of tools for developing, porting, debugging and refining code.
- Scale – Based on the HPE Cray EX2500, an exascale-class system, and featuring NVIDIA GH200 Grace Hopper Superchips, the solution can scale up to thousands of graphics processing units (GPUs) with an ability to dedicate the full capacity of nodes to support a single, AI workload for faster time-to-value. The system is the first to feature the quad GH200 Superchip node configuration.
- HPE Slingshot Interconnect offers an open, Ethernet-based high performance network designed to support exascale-class workloads.
“The world’s leading companies and research centers are training and tuning AI models to drive innovation and unlock breakthroughs in research, but to do so effectively and efficiently, they need purpose-built solutions,” said Justin Hotard, executive vice president and general manager, HPC, AI & Labs at Hewlett Packard Enterprise. “To support generative AI, organizations need to leverage solutions that are sustainable and deliver the dedicated performance and scale of a supercomputer to support AI model training. We are thrilled to expand our collaboration with NVIDIA to offer a turnkey AI-native solution that will help our customers significantly accelerate AI model training and outcomes.”
