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A bunch of startups have been working in similar stuff as well. So far is only for inference. No doubt custom silicon will come eventually as well, but the technical hurdles for that should be quite a bit higher.When Google's monthly revenue is more than NVidia's annual revenue, ASICs become possible and fucking about with GPGPU becomes history.
http://www.guru3d.com/news-story/geforce-gtx-1060-possibly-spotted-in-shipment-tracking.htmlThe GeForce GTX 1060 will likely be based on the ASIC called GP106. IF the listing in Zauba is to be believed then Nvidia will use a 256-bit GDDR5 memory controller for this mainstream product. This this is similar to the GTX 1070 and 1080. Though this remains speculation, it is expected to have 1280 Cuda/shader Cores
Just to add as it fits with this, Google is also one of the clients for the P100.Indeed this Google TPU is meant for power efficient inferencing, ie the part of using the neural network.
A processor that can accelerate neural network training has vastly different requirements, such as high precision floating point, fast inter process communication and high memory bandwidth.
None of this is required for inferencing (also not memory bandwidth if the neural network fit's compressed on chip)
So Nvidia doesn't need to be too concerned yet about demand for the P100 for training purpose.
It's the top and the bottom that matter. 3rd party open air coolers typically don't use the mounting hole on the right, since they're one flat heatsink extending to the end of the card (and often beyond). It's really only for blowers, which need it to secure the far end of the shroud.
Call me totally surprised for not seeing the same level of rage as with the 290X launch............
It probably comes down to the Boost3 and the fact there is now another variable involved (voltage) in controlling fan and frequency, not just temperature.The early clock ramp and then pulling back seems reminiscent of Hawaii's method of thermal target management.
The behavior does seem to show Nvidia's chips are not going to be as consistent with boost clocks, which may show there's not as much margin as before.
That might be a consequence of the new clock/power management, which would eat into margin and open the product up to similar criticism as the 290X received from clock watchers.
I think the psychology of having a base and turbo clock, rather than an "up to" that has no minimum is different. The former gives a foundation, and then X amount of "bonus", while the latter gives disappointment in varying doses.
I'm still not sure if the cooler variability and fan control problems that afflicted the 290, or the two fan modes, or the loudness are in evidence this time.
Also, AMD may only have themselves to blame for reviewers not (edit: disregard the "not") checking how the GPUs vary their clock and thermals over time, and for softening the PR blow for those that follow.
It also doesn't seem to be the case with the 1080 that it's consumers finding out the hard way about faults in the product, like they did with the 290 and Fury X.
It probably comes down to the Boost3 and the fact there is now another variable involved (voltage) in controlling fan and frequency, not just temperature.
So I see this as requiring tweaking by NVIDIA rather than a long term problem.
Why?
Because the behaviour is similar even when temperature is not an issue and so more than likely comes back to voltage (IMO but time will tell) and its modifiable influence on Boost3.
Here is HardOCP OC using max fan speed to remove thermal constraints but nothing regarding voltage.
No it is part of the whole package, voltage is linked to the frequency in some way as temperature (but the temp is never above 65 in that link I gave) which is why it drops IMO (voltage profile-algorithm with frequency).I'm not sure that I see that article as indicating that voltage controls fan speed.
Fan speed can influence when the temperature target is hit, but it's not going to spool up just because voltages change.
Voltage can govern the highest stable clocks that can be achieved, with the caveat that at any given clock speed higher voltage equals higher power consumption.
If the fan's speed is maxed out and the temperature target is hit, neither clock or voltage increases will provide a benefit. The fan was manually set to 100% to push this scenario as far out as possible.
If the temperature target is not hit, but the clock and voltage curve hits the power target, then the fan can do nothing.
The overclocking attempt appears to be mostly capped by stability, although the more uniform clock graph for the overclocking attempt may mean another target is being hit. It might be the temperature target in the early part, but power limits might be contributing to some of the behavior that later doesn't match the temperature readings.
http://www.techpowerup.com/reviews/NVIDIA/GeForce_GTX_1080/29.htmlCurrently, there are 80 voltage levels and you can set an individual OC frequency for each, which would make manually OCing this card extremely time intensive. That's why NVIDIA is recommending that board partners implement some sort of OC Stability scanning tool that will create a profile for you.
In the past, overclocking worked by directly selecting the clock speed you wanted. With Boost, this changed to defining a fixed offset that is applied to any frequency that Boost picks.
On Boost 3.0, this has changed again, giving you much finer control since you can now individually select the clock offset that is applied at any given voltage level.
AMD has in more recent GCN iterations included the ability to manipulate register data at byte granularity, although perhaps that was targeting something other than machine learning like signal analysis?