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Hardware for Deep Learning, Part 3: GPU

74 pointsby che_shr_catover 6 years ago

2 comments

jaimex2over 6 years ago
Tesla apparently designed their own chip specifically for neural net vision as GPUs were not fast enough - including nVidias Tesla chip which is currently being put in their cars.<p>Musk mentioned they got a 10x boost from doing so in their last investor call:<p>&quot;I&#x27;m a big fan of NVIDIA, they do great stuff. But using a GPU, fundamentally it&#x27;s an emulation mode, and then you also get choked on the bus. So, the transfer between the GPU and the CPU ends up being one of the constraints of the system&quot;<p>&quot;And as a rough sort of whereas the current NVIDIA&#x27;s hardware can do 200 frames a second, this is able to do over 2,000 frames a second and with full redundancy and fail-over.&quot;<p>Peter Bannon lead the development.
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asparaguiover 6 years ago
Great article!
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