Open Stack

should i need to create a flavor to target both GPU. is it possible to
have single flavor cover both GPU because end users don't understand
which flavor to use.

On Wed, Jan 19, 2022 at 1:54 AM Massimo Sgaravatto
<massimo.sgaravatto at gmail.com> wrote:
>
> 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 at gmail.com> wrote:
>>
>> Thank you for the information.  I have a quick question.
>>
>> [root at 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 at 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 at windriver.com> wrote:
>> > >>
>> > >> Hello, Satish.
>> > >>
>> > >> I've been working with vGPU lately and I believe I can answer your
>> > >> questions:
>> > >>
>> > >> 1. 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.
>> > >>>
>> > >>> 1. What is the difference between passthrough vs vGPU? I did google but not very clear yet.
>> > >>> 2. If I configure it passthrough then does it only work with single VM ? ( I meant whole GPU will get allocate to single VM correct?
>> > >>> 3. 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?
>> > >>> 3. 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 ?
>> > >>>
>> > >>> Sent from my iPhone
>> > >>>
>> > >
>>