IBM Executive HPC/AI Architect, Clarisse Taaffe-Hedglin, discusses how clients can take AI from prototype to production using IBM’s Watson Machine Learning Accelerator AI software combined with IBM Power Systems infrastructure.
Utilizing open source packages as a base and introducing packages from IBM Research while leveraging advantages of IBM Power Systems accelerated infrastructure, IBM helps clients train models faster and in a distributed fashion. Clarisse discusses technologies and packages such as Distributed Deep Learning, Snap ML and NVLink to implement AI at scale and also describes how you can get started on your AI journey to scale with IBM
