FPGA chips are coming on fast in the race to accelerate AI 

Presented by Intel   AI is hungry, hyperscale AI ravenous. Both can devour processing, electricity, algorithms, and programming schedules. As AI models rapidly get larger and more complex (an estimated 10x a year), a recent MIT study warns that computational challenges, especially in deep learning, will continue to grow. But there’s more. Service providers, large enterprises…