That’s where training and inferencing come in - the dynamic duo transforming AI from a clueless apprentice to a master predictor. You can think of training as the intense cram session where AI ...
ML training is best implemented as data center infrastructure that can be amortized across many different customers to justify the high capital and operating expense. Inferencing, on the other hand, ...
Cheng Wang, senior vice president of engineering at Flex Logix, examines shifting neural network models, how many multiply-accumulates are needed for different applications, and why programmable ...
Unlike AI training, which is concentrated in data centres, inferencing is expected to take place closer to users on edge devices. (Image/Freepik) The race for dominance in AI computing is ...