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That new chip is a monster - with gaming SKU's launching this year, wow.
Poor AMD just can't catch a break.
Any specs? Couldnt/Cant watch the stream.
815mm2 based on new TSMC 12nm FF process. 5k Cuda cores. FP32 performance peak at 15Tflops. 7.5tflops FP64. 120 tlops for deep learning inferencing. new "tensor core" for deep learning. will be nvidia direct answer to google TPU it seems. 300wTDP (same as GP100). 16GB HBM 2. NVLink 2.
They won't. Its clear that nvidia is separating its consumer line from the HPC. Like they did with GP100.If they release a gaming version of a GPU that big they will be testing the $2000 price point, and no doubt some around here will buy it.
I don't imaging tensorcores being as much use in the gaming front in the same sense that it is important to machine learning. The function A x B + C matrix is fairly common to tensorflow matrix math, but not necessarily to games.
lol, Intel got crushed with this too.
Maybe but Nvidia has never showed a strong interest in the CPU market outside their ARM offerings.Jensen Huang is a kick ass CEO, Imagine if instead of AMD/ATI merging, AMD/NVidia merged ( with Huang as CEO of course).
Intel would probably be 2nd place in desktop CPUs by now. Maybe they could have picked up ATI and had more resources to improve it.
Jensen Huang is a kick ass CEO, Imagine if instead of AMD/ATI merging, AMD/NVidia merged ( with Huang as CEO of course).
Intel would probably be 2nd place in desktop CPUs by now. Maybe they could have picked up ATI and had more resources to improve it.
This should light a fire under intels bum, hopefully we see something serious from them.Jensen was great to work for when I worked at nvidia years ago. I've always wondered what life would be like if I stuck around. Our section had this dancing caddyshack doll that he'd trigger to dance to disrupt our trains of thought when he passed by.
I think this keynote served up notice to intel and amd that they have some serious tech in the works. My company sprung for 2x p100's for me to play with and they were "hard" to get. Seeing the conference I can see all the GPU allocations going to everyone wanting to sell a machine learning box.
Maybe but Nvidia has never showed a strong interest in the CPU market outside their ARM offerings.
It would be neat to see Nvidia try to do something with IBM's OpenPOWER to challenge x86. Everybody always talks about ARM, but IBM's ridiculous specs are way more interesting to dream about.
lol, Intel got crushed with this too.
To run Linux on?
Well if we talk about purely hypothetical scenarios - the only way Linux could get popular would be if Nvidia and Valve joined forces and started major push for it. But it looks like windows 10 threat wasn't big enough.
I still wonder why Nvidia didn't - Microsoft long term goal is obviously bringing everything into UWP and shared code with gcn based xbox is going to be problem for them.