If I am not wrong those are 2 GPUs
"tesla-v100:1" means 1 GPU
So e.g. a flavor with "pci_passthrough:alias": "tesla-v100:2"} will be used to create an instance with 2 GPUs
Cheers, Massimo
On Tue, Jan 18, 2022 at 11:35 PM Satish Patel satish.txt@gmail.com wrote:
Thank you for the information. I have a quick question.
[root@gpu01 ~]# lspci | grep -i nv 5e:00.0 3D controller: NVIDIA Corporation GV100GL [Tesla V100S PCIe 32GB] (rev a1) d8:00.0 3D controller: NVIDIA Corporation GV100GL [Tesla V100S PCIe 32GB] (rev a1)
In the above output showing two cards does that mean they are physical two or just BUS representation.
Also i have the following entry in openstack flavor, does :1 means first GPU card?
{"gpu-node": "true", "pci_passthrough:alias": "tesla-v100:1"}
On Tue, Jan 18, 2022 at 5:55 AM António Paulo antonio.paulo@cern.ch wrote:
Hey Satish, Gustavo,
Just to clarify a bit on point 3, you will have to buy a vGPU license per card and this gives you access to all the downloads you need through NVIDIA's web dashboard -- both the host and guest drivers as well as the license server setup files.
Cheers, António
On 18/01/22 02:46, Satish Patel wrote:
Thank you so much! This is what I was looking for. It is very odd that we buy a pricey card but then we have to buy a license to make those features available.
On Mon, Jan 17, 2022 at 2:07 PM Gustavo Faganello Santos gustavofaganello.santos@windriver.com wrote:
Hello, Satish.
I've been working with vGPU lately and I believe I can answer your questions:
- As you pointed out in question #2, the pci-passthrough will
allocate
the entire physical GPU to one single guest VM, while vGPU allows you
to
spawn from 1 to several VMs using the same physical GPU, depending on the vGPU type you choose (check NVIDIA docs to see which vGPU types
the
Tesla V100 supports and their properties); 2. Correct; 3. To use vGPU, you need vGPU drivers installed on the platform where your deployment of OpenStack is running AND in the VMs, so there are
two
drivers to be installed in order to use the feature. I believe both of them have to be purchased from NVIDIA in order to be used, and you
would
also have to deploy an NVIDIA licensing server in order to validate
the
licenses of the drivers running in the VMs. 4. You can see what the instructions are for each of these scenarios
in
[1] and [2].
There is also extensive documentation on vGPU at NVIDIA's website [3].
[1] https://docs.openstack.org/nova/wallaby/admin/virtual-gpu.html [2]
https://docs.openstack.org/nova/wallaby/admin/pci-passthrough.html
[3] https://docs.nvidia.com/grid/13.0/index.html
Regards, Gustavo.
On 17/01/2022 14:41, Satish Patel wrote:
[Please note: This e-mail is from an EXTERNAL e-mail address]
Folk,
We have Tesla V100 32G GPU and I’m trying to configure with
openstack wallaby. This is first time dealing with GPU so I have couple of question.
- What is the difference between passthrough vs vGPU? I did google
but not very clear yet.
- If I configure it passthrough then does it only work with single
VM ? ( I meant whole GPU will get allocate to single VM correct?
- Also some document saying Tesla v100 support vGPU but some folks
saying you need license. I have no idea where to get that license. What is the deal here?
- What are the config difference between configure this card with
passthrough vs vGPU?
Currently I configure it with passthrough based one one article and
I am able to spun up with and I can see nvidia card exposed to vm. (I used iommu and vfio based driver) so if this card support vGPU then do I need iommu and vfio or some other driver to make it virtualize ?
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