I wouldn't call a uni's server room a "datacenter". NVIDIA should clarify that it doesn't apply to experimental researchers.
Nvidia’s New Policy Limits GeForce Data Center Usage
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Re: Nvidia’s New Policy Limits GeForce Data Center Usage
#72Earlier quoted context omitted.
In the future, Teslas will have Tensor Cores and GeForces won't, so deep learning will be much faster (but also much more expensive, so it kind of cancels out) on Tesla cards.
Yeah, doesn't it seem a little weird that they seem to want to enforce the distinction between gaming and industrial cards, but they also went ahead and included tensor cores in that new Titan card? Did they not think that through and have an 'oh shit' moment when they saw all the news articles or something? Or is this a 'the first hit is free' sort of deal where they want people to learn about using the product on a…
Titan V is so expensive that it's not cannibalizing anything. Once the GeForce 1180 comes out... they'll make it just slow/expensive enough that it still doesn't cannibalize anything.
Re: Nvidia’s New Policy Limits GeForce Data Center Usage
#73Earlier quoted context omitted.
So, once again proof that open source is the only way to go.
Open-source drivers don't even support Tesla, not to mention Volta. An EULA challenge seems to the way to go here. I'll be emailing legal for advice once I get back to work.
I think the point is less using nouveau drivers for nvidia hardware as it is we should have never accepted CUDA as a standard since the implementation isn't free. Proprietary standards leave us at the mercy of the owners.
Re: Nvidia’s New Policy Limits GeForce Data Center Usage
#74Developers should be mad about this. Here's where to start contributing to open alternatives:
ROCm: https://rocm.github.io/
OpenCL: https://www.khronos.org/opencl/
TensorFlow: https://github.com/tensorflow/tensorflow
Re: Nvidia’s New Policy Limits GeForce Data Center Usage
#75If true then Nvidia has gone nuts. There is no way that they can control what end users of their products do with their products and/or their software post download to the extent where they are going to have a say in what locality you can use their software and where not. Utterly ridiculous. For a company that has seen my solid support so far I'm extremely disappointed. Could someone fluent in Japanese please confirm…
This seems no different than Tesla prohibiting use of AutoPilot for gainful ridesharing.
A large amount of computing equipment is sold with the restriction that it not be used to control a nuclear power plant.
Re: Nvidia’s New Policy Limits GeForce Data Center Usage
#76From a sales point of view, Nvidia actually doesn't care that much about researchers, they make up a small percentage of sales. They care about gamers (VR has been a big help), and especially cryptocurrency mining where customers will buy multiple video cards at a time (kaching). There are even blockchains now that are resistant to ASIC mining, where GPU mining is the best again. (BTG for example) I suspect that from…
The inverse I think might be true. If the GPUs are much more accessible on the cloud, deployment and placement problems handled, then more developers will be comfortable building around that. Otherwise, it's a massive hassle to have physical machines with specialized hardware.
Re: Nvidia’s New Policy Limits GeForce Data Center Usage
#77This is just a blatant attempt to sell the exact same product to two different types of customers at different prices based on their (presumed) willingness to spend. Actually it's worse. It's an attempt to cripple a perfectly functioning cheap product aimed at a different audience (gamers) for another audience (machine learning folks) in order to drive them to more expensive products that do the same thing. Pure gree…
While I agree it's likely motivated by greed, there is a legitimate reason too: GeForce cards simply aren't made to be run 24/7 in high density server environments. Put 200 of them in a rack and have them running inference or training 24/7 and I suspect you'll see them drop like flies. Tesla cards are explicitly designed for endurance.
Re: Nvidia’s New Policy Limits GeForce Data Center Usage
#78Does this apply to just the GeForce app, or the drivers themselves? If it’s just the app you can always manually install drivers.
And how does it affect Linux kernel drivers?
Re: Nvidia’s New Policy Limits GeForce Data Center Usage
#79I can see the reason they are making this move is because the supply of GeForce Video cards is being used up for things other than Graphics duty like mining block chains or AI training. It’s probably a desperate supply move
They specified that this doesn't apply to blockchain mining.
Re: Nvidia’s New Policy Limits GeForce Data Center Usage
#80Earlier quoted context omitted.
You’re going be surprised how CPUs are price segmented in that case (they’re cut from the same wafers and priced by the clock frequency QA validates at). Price semgnentation isn’t necessarily bad; you want to segment your product in order to maximize revenue across all possible customers; this is just a more egregious/bold attempt at doing so (and is hopefully prevented by a court).
Binning CPUs on clock frequency or number of functioning cores is a bit different. If you compared it to a precious metal, the higher price CPUs have fewer imperfections, therefore they cost more. The fact that they carry different product numbers is a bit misleading but the price segmentation actually makes sense.
The binning is a bit arbitrary, hence overclocking. A large proportion of parts that are binned to a certain clock speed will perform perfectly well at higher clocks. Bins are decided and priced based mostly on marketing rather than fab yields.
Intel disable a lot of features on low-end chips, which has nothing to do with yield management. There's no technical reason to disable vPro and Turbo Boost on Core i3 chips.