AI inference costs are high and workloads are growing, especially when low latency is required. We demonstrate NorthPole's energy efficiency and high throughput for low-latency edge and datacenter inference tasks.
Sponsor(s):
IBM
Speaker(s):
John Arthur
Principal Research Scientist
IBM
John Arthur is a principal research scientist and hardware manager in the brain-inspired computing group at IBM Research - Almaden. He has been building efficient and high-performance brain-inspired neural network chips and systems for the last 25 years, including Neurogrid at Stanford and both TrueNorth and NorthPole at IBM. John holds a PhD in bioengineering from University of Pennsylvania and BS in electrical engineering from Arizona State University.
Session Type:
General Session (Presentation)