[Nvidia Runtime Library]

On 11/30/2023 at 5:18 PM, Orphée said:

So you did not understand my point.

 

No matter what driver will actually work. He could make latest 4090 RTX works on NAS system.

As long as you/he/anyoned do not rebuild Surveillance Station SPK to accept these cards, you will only use these drivers to have HW transcoding capabilities for software like plex etc... but never for Surveillance Station AI features.

 

No matter if nvidia-smi detect your card. if it is the same as DVA1622, Surveillance Station will generate some dump/core crash files on the filesystem in loop.

 

If you are lucky, DVA3221 Surveillance Station SPK is not hardcoded like DVA1622 is... and then my point is irrelevant.

 

I understood your point very well.

 

From the latest post in Chinese, the dev is testing the "beta driver" that supports AI functions of Surveillance Station.

Just wait until the next release.

 

On 11/30/2023 at 6:49 PM, irishj said:

 

Great, at least now you can use hardware transcoding for Plex / Emby / Jellyfin

 

If you are going to use h/w transcoding, I'd advise using the patch for nVidia drivers which allows more than 3 simultaneous NVENC video encoding sessions , which is a driver limitation imposed by nVidia on their consumer GPUs.

 

https://github.com/keylase/nvidia-patch

 

Clone the repo, run the patch, then restart the custom nVidia driver and you're good to go.

Yup, at least I can share the heavy encoding tasks to the GPU and wait until the better release.

[Nvidia Runtime Library]

1 hour ago, Orphée said:

From who ? Synology ?

Why would they add support to any other card than GTX1650 ?

Unless they release a new DVA product with some new card, don't expect it.

Nope. A Chinese Dev is working on newer drivers.

FYI:

https://blog.kkk.rs/archives/17

[Nvidia Runtime Library]

16 hours ago, irishj said:

 

Do you see the GPU when issuing the command nvidia-smi ?  

 

Is the custom nVidia GPU driver installed and running in package manager ?

 

Please share the exact install steps you followed, in order.

Thank you very much ! Your previous post with note about "vgpuDaemon fix" that fix my issue.

nvidia-smi now is showing CUDA core and Driver version as: 5XX.

 

However, Surveillance stations AI will not work, ATM (or even in the future).

 

20 hours ago, Orphée said:

As I already wrote, at least for DVA1622, I was able to confirm GPU compatibility is hardcoded in Surveillance Station binary/library.

No matter you make it work for HW decoding with Plex with 10th gen addon etc... Surveillance Station AI tasks crash no matter what.

 

It would not be surprising the same exists for DVA3221 and Nvidia library/drivers...

I bet as long as the GPU is natively detected (so compatible) by DVA3221 it will work, but any custom drivers/addons not hardcoded in Surveillance Station will fail...

You're correct.

Now I just sit tie and wait till the next release and hope they can support AI functions.

[Nvidia Runtime Library]

On 11/28/2023 at 12:48 AM, irishj said:

 

It's working on both baremetal and VM.  I have two boxes, one is virtualized and the other is baremetal and both have a GTX1650 and it's working on both of them.

 

Install as usual, add the custom nVidia driver and ensure it's running, then SSH into the machine and run the command in terminal "vgpuDaemon fix" as root.  Stop and restart the custom nVidia driver and then the GPU should appear in the 'info center' in control panel.

 

 

Thanks for your feedback.

However the GTX1650 is naitive as I know.

 

I am trying to get my GTX1660S works but still not success.

[Nvidia Runtime Library]

On 11/16/2023 at 7:51 PM, irishj said:

 

Ignore this, tried it again on a clean system and now I can get hardware support in docker for the 1650 card running in a VM on ESX 8

 

 

 

I am trying this method on Baremetal but look like it is only working on VMs.

[DVA3221 loader development thread]

On 11/1/2022 at 10:09 AM, Cali0028 said:

So I was able to get Jellyfin and my Nvidia P1000 to transcode. Here is what I had to do. 

 

1. I installed DVA3221 in Proxmox

2. Make Video card as primary for the VM

3. Go through the whole process of installation and setup.

4. Open package center, click on settings on top right. 

5. Click on Package sources, then click on Add

6. In the name box, name it what ever you want. In the location box enter "https://spk7.imnks.com/", with out the quotes, then hit OK and OK again. 

7. In the package center click on Community, and then in the search box type in ffmpeg, install and then find Jellyfin and then install. 

 

This has worked for me so far without doing anything special other than the source. Now being that my limitation is to 2 streams, next is how to unlock the card to do more than 2 streams on the P1000 card. 

 

I think I would buy the same GPU.

Would you mind to share the AI tasks that could be solved on this card ?

Thank you very much ! 

[SurveillanceStation-x86_64-8.2.2-5766]

5 hours ago, Vir-US said:

Горячие пирожки можно найти >>здесь<<. Только stand-alone вариант. 

Thank you !