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Except that you mainly need the massive compute for the training, not the commodity execution of the network!
by Eliezer 10y ago
Except that you mainly need the massive compute for the training, not the commodity execution of the network!
- petra 10y agoAny idea what kind of compute a self-driving car(with a trained network) will need ?
- dharma1 10y agoDepends massively on what the software is doing, there is still no standardisation on what a self-driving car means. Nvidia is pushing PX2 but I have a feeling they are too expensive for most cars - don't know the exact price but "a few thousand dollars" was quoted for the Teslas that use them. Some specs - http://wccftech.com/nvidia-drive-px2-pascal-gtc-2016/ http://wccftech.com/nvidia-drive-px2-pascal-gtc-2016/ At the same time Qualcomm is pushing their much less performant chips for self-driving cars, but at a much lower price point (hundreds of dollars)
- nl 10y agoSomething pretty close to this: http://www.nvidia.com/object/drive-px.html http://www.nvidia.com/object/drive-px.html (I believe they are currently recommending the 4 GPU version shown on at the bottom of that page under "DRIVE PX 2 FOR FULLY AUTONOMOUS DRIVING") The key here isn't that this isn't a full power desktop GPU, but it will run inference on a CUDA-compatible kernel. That give NVidia a complete end-to-end modelling, training and driving platform. No one else has that.