Hi Michael, Invite sent. Welcome!
The master branch should already support CUDA 11 & CuDNN 8, though we are still in the progress of adding a CI check for it. Dick can probably help elaborate more on it. For the performance issue on quadro 4000, we will need information such as the workload, mxnet version, environment, etc. I'd recommend filing a bug report in github issues [1]. Best, Sheng [1] https://github.com/apache/incubator-mxnet/issues/new/choose On Fri, Sep 11, 2020 at 10:13 AM Shannon, Michael J. <mjs2...@cumc.columbia.edu> wrote: > > Dear all > > Hope you are having a good Friday. > > I would like to join the slack for support reasons - would this be possible? > > In addition, I was hoping that you might be able to comment on the likelihood > of current MXnet builds being able to work with the Ampere cards from NVIDIA. > Namely we are going to invest in an RTX 3090 for our machine learning needs > (for now), and I am wondering whether a specific software we use will be able > to run MXnet to contact the GPU. > > Finally, currently using MXnet with our quadro 4000 card, I can only get it > to use about 1 percent of the GPU. I wonder - is this a problem with MXnet? > > Thanks, > > Michael > > > Michael Shannon, PhD > Postdoctoral Research Scientist (Mace Lab), > Department of Pediatrics, > Columbia University Irving Medical Center > P&S 10-451 630 W. 168th st. > New York, NY, USA 10032 > 929-319-6335
