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In the coming years we will see a lot more applications powered by deep learning. If someone releases a chip that provides 10x performance compared to the curre
by mryan 11y ago
In the coming years we will see a lot more applications powered by deep learning. If someone releases a chip that provides 10x performance compared to the current GPU-based method, they will sell a lot of chips.
- x0x0 11y agoNo doubt -- the problem is the assumption that 10x performance is possible. Though if anyone can deliver it will (imo) be Intel: it will be a process war, and they seem to be able to do more transistors than anyone else.
- azinman2 11y agoOr IBM: http://research.ibm.com/cognitive-computing/neurosynaptic-chips.shtml#fbid=YUVZuhPyPsg http://research.ibm.com/cognitive-computing/neurosynaptic-ch...
- maaku 11y agoIntel may have to find a different niche. Their Xeon Phi approach to parallelism is very interesting, speaking as someone dabbling in AGI, but is not comparably well suited for deep learning.
- azeirah 11y agoHow well suit are fpga's for deep learning?
- amund 11y agohttps://gigaom.com/2015/02/23/microsoft-is-building-fast-low-power-neural-networks-with-fpgas/ https://gigaom.com/2015/02/23/microsoft-is-building-fast-low...
- Thimothy 11y agoThe answer to the question "How well suited are FPGAs for -insert field where GPUs or vanilla processors do no excel at-?" is always "Far better than the GPUs or proccessors but with an abysmal power usage". In this kind of new developments FPGAs are usually used as a test before moving to ASICs.