Dear Adrian:
are you able to get clarification about what "small-scale" means? Academic
startup funds could easily permit 20 nodes, each with 4 commodity GTX
cards. It's unclear if this is considered small-scale. I am sure one can
find out by simply trying to buy it, but if small-scale means one node with
4 cards, even if just one research group is using it, then that restriction
is going to have a noticeable impact over time.
Thank you,
Chris.
On Mon, Feb 5, 2018 at 3:31 PM, Adrian Roitberg <roitberg.ufl.edu> wrote:
> Dear members of the Amber community.
>
> You have seen the emails regarding the new User Agreement from NVIDIA
> regarding proper uses for the GeForce cards.
>
> This point was raised by several people during a meeting with NVIDIA,
> and this is the response we received, which as far as I am concerned, it
> is the official word from NVIDIA.
>
> One can agree or disagree with some points, but again, as fra as I am
> concerned, it solved properly most of the points we were worried about.
>
> Adrian
>
>
>
>
> -------- Forwarded Message --------
> Subject: EULA
> Date: Mon, 5 Feb 2018 16:09:12 +0000
> From: Mark Berger <mberger.nvidia.com>
> To: Adrian Roitberg <roitberg.ufl.edu>
>
>
>
> Hi Adrian,
>
> Thanks for bringing up the EULA concerns on Friday. I wanted to send
> some approved clarification language which should help.
>
> We have had a few questions around our new GeForce EULA. Let us
> reassure you that our position for the higher education and research
> community hasn’t changed.
>
> First, NVIDIA’s Tesla GPUs are designed specifically for High
> Performance Computing and Deep Learning. They provide more
> functionality, higher performance, and better manageability, reliability
> and availability for these applications compared to our Consumer
> products. In addition, Tesla products include a three-year warranty
> covering data center workloads, NVIDIA enterprise support, and
> guaranteed continuity of supply. To make our Tesla products more
> affordable for this community, we have also created an attractive
> Educational discount program.
>
> Nevertheless, we recognize that academics and researchers place our
> GeForce and TITAN products in small-scale GPU-server clusters for
> research purposes and non-commercial use. We do not intend to prohibit
> such uses. We understand that our GPUs have become an important tool for
> research scientists, and while we encourage researchers to consider our
> Tesla GPUs, we will not interfere with continued use of GeForce and
> TITAN products for small-scale non-commercial research.
>
> If it would help to post this to the AMBER Mailing List, please feel
> free to do so.
>
> Best,
>
> Mark
>
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Received on Wed Feb 07 2018 - 19:30:03 PST
