Jenia Jitsev

Hey folks, I have the same endeavor right now with ml-agents. There seems to be an undocumented flag to switch GPUs according to this here: "There is a Unity command...

Hey @awjuliani , doesn't seem like. I use `-force-vulkan` and see also Vulkan debug output, but Unity instances are all put on device index 0 independent of what I specify...

Situation is following: machine has 4 RTX GPUs. I would like to have a run setup, where following happens: GPU 0 : Unity Rendering GPU 1 : CUDA (training) GPU...

Hey folks! So there will be no trouble to arrange access to compute resources in size of 2 compute nodes with 4x GPUs each, given that we have together a...

Good question - so first we have to clarify whether we get the sparse attention transformer and deepspeed go along together. We ourselves haven't tried it - in fact, we...

> Furthermore - I'm not certain that microsoft actually supports the A100 GPU yet. For now it seems your best bet is to deploy using a V100 or a Titan...

We do have a machine with 4x V100 without budget limitation, with a drawback that is not accessible from outside. I think it would be better to get on a...

@lucidrains @afiaka87 Let's do a step like this: please drop me a short email to [email protected], and I send your instructions so that you can already register for the access,...

With regard to sparse attention: here another colleague of us, Alex Strube, @surak, was opening issue at deepspeed - so it should be fine to go with V100 and cuda...

> @janEbert @JeniaJitsev This system is indeed complex. Could I borrow one of you for a quick tutorial on deploying dalle-pytorch with a proper dataset? I believe that would speed...