HPE: AI at Hyperscale – How to go faster with a smaller footprint
Chief Architect of AI-Driven Big Data Solutions, HPE
Companies looking to deploy AI for real-world use cases often get stuck at data ingest. Hyperscale and Extreme-Scale both require an entirely new data architecture to deliver both scale and performance without breaking the bank. Hear Theresa Melvin, Chief Architect of AI-Driven Big Data Solutions for HPE review her research and benchmark testing for real-world AI-driven use cases requiring Exa-to-Zetta scale, low latency, end-to-end automation, and ever-shrinking data center footprints. Theresa will showcase the results of work with Aerospike on HPE servers with Intel Optane DC persistent memory.