Jul. 04, 2018 –
The device, called "Kunlun," is built to accommodate high-performance requirements of a wide variety of AI scenarios, the company says. It can be applied to both cloud and edge scenarios, such as data centers, public clouds, and autonomous vehicles.
The chip leverages the company's AI ecosystem, which includes AI scenarios like search ranking and deep learning frameworks like PaddlePaddle. Kunlun comprises thousands of small cores and has a computational capability that is nearly 30 times faster than the company's FPGA-based AI accelerator developed in 2011.