How to Overcome the Pain Points of AI/ML Hardware
Presenter
Event Type
Exhibitor Session
Online Only
TP
W
TUT
XO / EX
TimeWednesday, 17 November 202110:30am - 11am CST
LocationOnline
DescriptionAI/ML hardware faces three common pain points: memory bandwidth, computational throughput and on-chip data movement. Next-generation FPGA technology that includes a 2D network on chip, GDDR6 and machine learning processors presents new capabilities to alleviate these pain points and offers a balance of speed, power and cost. Join us at this talk to find out how FPGAs and embedded FPGA (eFPGA) IP are ideal platforms for AI/ML inferencing solutions that provide the flexibility of a GPU while performing at speeds similar to an ASIC.
Presenter
