Tesla has an existing relationship with Nvidia, whose GPUs power its Autopilot system, but this new in-house chip reported by CNBC could potentially reduce its reliance on third-party AI processing hardware.
Apple unveiled the new processor powering the new i Phone 8 and i Phone X - the A11 Bionic.
The A11 also includes dedicated neural network hardware that Apple calls a “neural engine”, which can perform up to 600 billion operations per second.
Core ML is Apple’s current sulotion for machine learning application.
There is a Nervana Con Intel has scheduled for December, so perhaps we’ll see the first fruits then.
Intel® Nervana™ Neural Network Processors (NNP) Redefine AI Silicon As our Intel CEO Brian Krzanich discussed earlier today at Wall Street Journal’s D.
Nvidia anouced “XAVIER DLA NOW OPEN SOURCE” on GTC2017. Hopefully, the general release will be avaliable on Sep. For more analysis, you may want to read 从Nvidia开源深度学习加速器说起.
Now the open source DLA is available on Github and more information can be found here.
Tesla is reportedly developing its own processor for artificial intelligence, intended for use with its self-driving systems, in partnership with AMD.The NPE certainly works reasonably well on the Hexagon DSP that Qualcomm use.The Hexagon DSP is far from a very wide parallel platform and it has been confirmed by Yann Le Cun that Qualcomm and Facebook are working together on a better way in Wired’s “The Race To Build An AI Chip For Everything Just Got Real”, “And more recently, Qualcomm has started building chips specifically for executing neural networks, according to Le Cun, who is familiar with Qualcomm’s plans because Facebook is helping the chip maker develop technologies related to machine learning.The NVIDIA Deep Learning Accelerator (NVDLA) is a free and open architecture that promotes a standard way to design deep learning inference accelerators.With its modular architecture, NVDLA is scalable, highly configurable, and designed to simplify integration and portability.