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"Intel is looking to create a solution that will offer a performance of more than 1 TFLOPS per watt."

Competition in the AI space
Intel is looking to tap the AI market, but it faces strong competition from NVIDIA’s GPUs and Google’s (GOOG) TPUs (tensor processing unit), which are general-purpose chips designed specifically for AI workloads.


In order to accelerate its AI product development, Intel formed the Artificial Intelligence Product Group in March 2017. The group combines all its AI offerings and engineering expertise under one roof.

Intel’s AI offerings
Intel offers a full spectrum of AI products, from edge computing to network computing to data center computing. Its Mobileye (MBLY) autonomous car solution would offer 1 TFLOPS (tera floating-point operations per second) per watt of computing performance. In fact, Intel is looking to create a solution that will offer a performance of more than 1 TFLOPS per watt.

In the lower milliwatt range, Intel offers Movidius AI solutions for robots and drones. In the high-power range, Intel offers Nirvana’s ASIC (application specific integrated circuit), which delivers a higher performance than a GPU, for the neural network. Intel also offers the Xeon Phi processor, integrated with Altera FPGAs (field programmable gate arrays), to handle data centers’ AI workloads.

All the above AI technologies were acquired, not developed, by Intel.