@DanNeely Q4 is for this ridiculous chip not anything else. However, this is on a mature process, 12nm is just the latest version for 16nm so there is no reason to go for high ASP cards first where you can afford lower yields. Nvidia clearly has Volta ready and they will release consumer GPUs at any time they see fit, likely sooner than this 815mm2 chip.If Vega puts any pressure on Pascal, we get Volta fats, if not, Nvidia needs to boost revenues for the holidays so they'll do 1-2 SKUs this year and more next year.
This is not a consumer card and its timing has little to do with consumer parts. AMD got absolutely obliterated today, Intel too for that matter.
Now Volta vs Vega Instinct, just the new instruction in Volta puts Nvidia at least a generation ahead of AMD. The difference in timing is negligible, especially when you consider the adoption of the software platform for the 2 vendors.Vega would have ramped slow in deep learning but now has the Volta wall in front of it.
In consumer, Vega likely arrives as just Vega 10 at first and you can bet Nvidia has a couple of SKUs ready to go in Q3. Vega had zero positive leaks so far and it's unlikely that it can match Pascal in utilization (gaming perf per FLOPS). Aside from that there is power, GV100 has 43% more cores than GP100 at what appears to be similar clocks and TDP. There is a small gain from process but that's a huge efficiency gain.
This is really the first time Nvidia got serious about deep learning and showed thier hand, how they push forward. AMD needs to learn to execute and be more aggressive, they could also use better timing in when to adopt a new technology- in general, could be a new instruction or a new type of memory and so on as AMD tends to go in to early and it costs them. Intel needs a good leader and must be an outsider that hasn't been sheltered by the x86 monopoly.
Did NVIDIA say we'll get 7-8x increase in performance in 5 years? Did they mean we'll have mainstream, cheap 8+K - 60+Hz variable refresh rate gaming in 5 years? My 2022 SHIELD model will play 8K content! :))))
Finally no dots visible anywhere!!!! The end of blurry fonts!!!!
Everyone is developing Artificial Intelligence, Machine Learning, and Deep Learning... What will humans do in 10, 20 years time? My mentor on postgraduate degree is saying his job as college lecturer might be replaced by AI in 3 to 5 years time. Scary stuff...
I wonder if that image fill in tech could be used to reduce streaming video bandwidth. Wouldn't need to send the whole picture each frame and the rest could be filled in by the client.
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jackstar7 - Wednesday, May 10, 2017 - link
Always a treat when a livestream from a tech company keeps dropping out...littlebitstrouds - Wednesday, May 10, 2017 - link
Always a treat when a tech person thinks livestreaming involves only technology...jjj - Wednesday, May 10, 2017 - link
So V100 is towards 1.5GHz, no bump in clocks vs P100 ( or Volta vs Pascal).jjj - Wednesday, May 10, 2017 - link
Vega with its delays lost an entire cycle and will now compete with Volta.jjj - Wednesday, May 10, 2017 - link
"DGX Station. A personal DGX with 4x Tesla V100s. 1500W, water cooled"Suggests V100 stays below 300W with it's 5120 cores.
Nottheface - Wednesday, May 10, 2017 - link
So Volta Q4 for OEMS means we will have it in less than a month to us consumers???Really you're saying a card out in a month is competing with something coming out 7+ months from now?
DanNeely - Wednesday, May 10, 2017 - link
For that matter is Q4 to OEMs for any consumer variants, or just GV100 compute chips with GV102, etc coming a bit later?jjj - Wednesday, May 10, 2017 - link
@DanNeelyQ4 is for this ridiculous chip not anything else.
However, this is on a mature process, 12nm is just the latest version for 16nm so there is no reason to go for high ASP cards first where you can afford lower yields. Nvidia clearly has Volta ready and they will release consumer GPUs at any time they see fit, likely sooner than this 815mm2 chip.If Vega puts any pressure on Pascal, we get Volta fats, if not, Nvidia needs to boost revenues for the holidays so they'll do 1-2 SKUs this year and more next year.
jjj - Wednesday, May 10, 2017 - link
This is not a consumer card and its timing has little to do with consumer parts. AMD got absolutely obliterated today, Intel too for that matter.Now Volta vs Vega Instinct, just the new instruction in Volta puts Nvidia at least a generation ahead of AMD. The difference in timing is negligible, especially when you consider the adoption of the software platform for the 2 vendors.Vega would have ramped slow in deep learning but now has the Volta wall in front of it.
In consumer, Vega likely arrives as just Vega 10 at first and you can bet Nvidia has a couple of SKUs ready to go in Q3. Vega had zero positive leaks so far and it's unlikely that it can match Pascal in utilization (gaming perf per FLOPS). Aside from that there is power, GV100 has 43% more cores than GP100 at what appears to be similar clocks and TDP. There is a small gain from process but that's a huge efficiency gain.
This is really the first time Nvidia got serious about deep learning and showed thier hand, how they push forward.
AMD needs to learn to execute and be more aggressive, they could also use better timing in when to adopt a new technology- in general, could be a new instruction or a new type of memory and so on as AMD tends to go in to early and it costs them.
Intel needs a good leader and must be an outsider that hasn't been sheltered by the x86 monopoly.
Zingam - Wednesday, May 10, 2017 - link
If the use liquid helium coolant they might do it!CrazyElf - Wednesday, May 10, 2017 - link
I suspect that they may have hit clockspeed and thermal limits here.With GPUs, you are still limited to say, 300W-ish tops, maybe 350W for burst (Fermi, Hawaii, and Fiji pushed the limits on this one).
Higher clockspeeds may mean exponentially more power consumption.
willis936 - Wednesday, May 10, 2017 - link
How so? Dynamic power is proportional to V^2*f.Zingam - Wednesday, May 10, 2017 - link
It was not Cyberdyne Systems. It was NVIDIA!Damn!
Zingam - Wednesday, May 10, 2017 - link
Buy AMD! Save humanity!!!Pariah - Wednesday, May 10, 2017 - link
When is Jason Zander going to be on stage?Zingam - Wednesday, May 10, 2017 - link
Did NVIDIA say we'll get 7-8x increase in performance in 5 years? Did they mean we'll have mainstream, cheap 8+K - 60+Hz variable refresh rate gaming in 5 years? My 2022 SHIELD model will play 8K content! :))))Finally no dots visible anywhere!!!! The end of blurry fonts!!!!
A5 - Wednesday, May 10, 2017 - link
They're not talking about gaming in that scenario.MrSpadge - Friday, May 12, 2017 - link
Only if you play games 5+ years old.unikinqay - Wednesday, May 10, 2017 - link
Everyone is developing Artificial Intelligence, Machine Learning, and Deep Learning... What will humans do in 10, 20 years time? My mentor on postgraduate degree is saying his job as college lecturer might be replaced by AI in 3 to 5 years time. Scary stuff...zepi - Wednesday, May 10, 2017 - link
Instead of paying for tuition, maybe you should invest in NVDA stock instead?vladx - Wednesday, May 10, 2017 - link
"My mentor on postgraduate degree is saying his job as college lecturer might be replaced by AI in 3 to 5 years time.''Highly functional AI is coming, but not in the next 10 years.
iroller - Wednesday, May 10, 2017 - link
tldr?ioni - Thursday, May 11, 2017 - link
I wonder if that image fill in tech could be used to reduce streaming video bandwidth. Wouldn't need to send the whole picture each frame and the rest could be filled in by the client.