Intel Lays Out Their Comprehensive AI Strategy At Their First "AI Day"

Intel Lays Out Their Comprehensive AI Strategy At Their First “AI Day”

I attended Intel’s event today on Intel AI (artificial intelligence) in San Francisco and wanted to share with you my quick observations: Intel CEO Brian Krzanich kicks off Intel AI Day (Image: Patrick Moorhead) AI compute background There are many flavors of AI: neural networks, LSTM, Belief Networks, etc.  Neural networks for AI is currently split between two distinct workloads, training and inference. Not all AI are DNN (Image: patrick Moorhead) Generally speaking, training takes much more compute performance and uses more power, and inference (formerly known as scoring) is the opposite. Also, generally speaking, leading edge training compute is dominated by NVIDIA GPUs, legacy training compute by CPUs and inference compute is divided across the Intel CPU, Xilinx/Altera FPGA, NVIDIA GPU, ASICs like Google TPU and even DSPs. Top-line thoughts…


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