undefined | Better HN

0 pointssamnco9y ago0 comments

Yes, each GPUs has a 4x -> 16x and a 4x-4x extender, in addition to the m.2 -> PCI-e 4x adapter.

So many potential failure points in there. The sole use case is CUDA. Essentially I wanted a portable cluster with GPUs and that did the work for a couple of month. Now it's getting more serious so the switch to T630 makes sense, and I repurposed the NUCs into the control plane of the K8s cluster.

0 comments

3 comments · 1 top-level

jacquesm9y ago· 2 in thread

I built this long ago:

https://clustercompute.com/images/image4.jpg

Which was a lot of fun.

Do you have all the GPUs internal to the T630?

Any chance of a picture (of the guts)?

I'm seriously thinking of duplicating your effort.

samncoOP9y ago

Here you go :) https://drive.google.com/file/d/0B1CCk51NQ4koSmkxSmxWb1E5Y0E...

Replicating is not very hard. You need a lightweight x86 machine for MAAS, which takes ~20min to install, one VLAN for the iDRAC (IPMI), another for networking that can connect to internet, and off you go. You can also enable KVM power management in MAAS to run the Juju control plane in VMs and save a box if you're limited in compute power.

https://maas.io https://jujucharms.com/docs https://www.ubuntu.com/containers/kubernetes for all the goodies.

If you run into problems, I am SaMnCo on #juju in freenode.

jacquesm9y ago

Ok, so 2 GPUs in there. Have you tried 4 or is that not possible for some reason?

I have plenty of other hardware floating around here so no problem on hooking it all up.

Thank you for the image.

1 more reply

j / k navigate · click thread line to collapse