Bullseye Posted August 10, 2022 Share #376 Posted August 10, 2022 How much power take i3-10100 at normal work ? Quote Link to comment Share on other sites More sharing options...
sandro_66 Posted August 10, 2022 Share #377 Posted August 10, 2022 Good afternoon! I have a PC with an I5-4690 processor, an Nvidia 1070 video card, 16 Gb RAM. Is it possible to use AI functions based on Xpenology DVA3221 with this graphics card? And another question - if AI functions are supported by this video card, is it possible to install Proxmox on the basis of this PC and create 2 virtual machines in it: 1) DSM based on DVA3221 with a forwarded Nvidia GTX 1070 video card and 2) Windows 10 (as an option, if the resources of video card 1070 cannot be used in this virtual machine (because it is forwarded to DSM - forward the internal video card of the Intel HD4600 processor to it). Thank you for your answers! Quote Link to comment Share on other sites More sharing options...
Orphée Posted August 10, 2022 Author Share #378 Posted August 10, 2022 (edited) Hello, We can't know for you, just try and let us know. DVA3219 may be an alternative for your GPU if DVA3221 does not work. I gave my findings regarding Proxmox GPU passthrough, feel free to test and experiment. Edited August 10, 2022 by Orphée Quote Link to comment Share on other sites More sharing options...
rok1 Posted August 10, 2022 Share #379 Posted August 10, 2022 14 hours ago, Bullseye said: How much power take i3-10100 at normal work ? Not a whole lot. It's a 65w cpu, as is the 10700 Quote Link to comment Share on other sites More sharing options...
phone guy Posted August 10, 2022 Share #380 Posted August 10, 2022 14 hours ago, sandro_66 said: Good afternoon! I have a PC with an I5-4690 processor, an Nvidia 1070 video card, 16 Gb RAM. Is it possible to use AI functions based on Xpenology DVA3221 with this graphics card? And another question - if AI functions are supported by this video card, is it possible to install Proxmox on the basis of this PC and create 2 virtual machines in it: 1) DSM based on DVA3221 with a forwarded Nvidia GTX 1070 video card and 2) Windows 10 (as an option, if the resources of video card 1070 cannot be used in this virtual machine (because it is forwarded to DSM - forward the internal video card of the Intel HD4600 processor to it). Thank you for your answers! I can tell you from experience, igpu passthrough in proxmox is tricky at best. Discrete gpu passthrough is much easier (ie: dedicated video card). iGPU passthrough is not impossible but very finicky. At least that was my personal experience, you may have better luck. I personally tried with an i7 4790 (if I remember right) and simply could not make windows work with the igpu. It would see it, and BSOD trying to install drivers for it. Again, my experience, not necessarily your experience. As to the 1070 card, someone earlier in this thread said there was a way to install an earlier version of SS, then un-install and re-install newer version to get drivers for older/other nvidia cards to work, but I never tried so - you would have to look back through the pages and see if that works, or as @Orphée said, maybe 3219 model may be better solution. Be sure to keep us posted what you try and what works and what doesn't - that's how we all learn. Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted August 10, 2022 Share #381 Posted August 10, 2022 (edited) В 09.08.2022 в 15:03, Bullseye сказал: 00007f63a4032b28 error 4 in libdvacore-dl.so mostly. Logi.zip 2 \u041c\u0431 · 2 downloads Try fix for Pascal gpus from post #54 use SS version SurveillanceStation-x86_64-9.0.1-6873_DVA_3219.spk because newer versions are encrypted. Edited August 10, 2022 by dimakv2014 Quote Link to comment Share on other sites More sharing options...
Orphée Posted August 10, 2022 Author Share #382 Posted August 10, 2022 Try fix for Pascal gpus from post #54 use SS version SurveillanceStation-x86_64-9.0.1-6873_DVA_3219.spk because newer versions are encrypted.Now there is a loader for DVA3219, from my point of view; it would be wiser to use it instead of a Frankenstein SS in DVA3221.If it works out of the box with 3219 and must be tweaked with old 3219 SS release on DVA3221, i would personally not bother with modded release. Quote Link to comment Share on other sites More sharing options...
sandro_66 Posted August 11, 2022 Share #383 Posted August 11, 2022 (edited) Good afternoon! I tried to install on bare metal on a laptop with arpl 0.4a1 bootloader (DVA3221). Unfortunately, the Geforce GTX940M video card is not visible (in the system information, the PCI-E line is empty). Accordingly, AI and face recognition do not work. Edited August 11, 2022 by sandro_66 Quote Link to comment Share on other sites More sharing options...
Bullseye Posted August 11, 2022 Share #384 Posted August 11, 2022 (edited) 8 hours ago, dimakv2014 said: Try fix for Pascal gpus from post #54 use SS version SurveillanceStation-x86_64-9.0.1-6873_DVA_3219.spk because newer versions are encrypted. So i need downgrade all system to 7.0.1 ? because any pack that i want instal give error with wrong file format With fix i have: https://pastebin.pl/view/d200bf13 Edited August 11, 2022 by Bullseye Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted August 11, 2022 Share #385 Posted August 11, 2022 (edited) 10 часов назад, Orphée сказал: Now there is a loader for DVA3219, from my point of view; it would be wiser to use it instead of a Frankenstein SS in DVA3221. If it works out of the box with 3219 and must be tweaked with old 3219 SS release on DVA3221, i would personally not bother with modded release. Dva3219 has less tasks and tell me please which loader still has dva3219? Edited August 11, 2022 by dimakv2014 Quote Link to comment Share on other sites More sharing options...
Orphée Posted August 11, 2022 Author Share #386 Posted August 11, 2022 2 minutes ago, dimakv2014 said: Dva3219 has less tasks and tell me please which loader still has dva3219? It probably has tasks matching GPU capability... 1 Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted August 11, 2022 Share #387 Posted August 11, 2022 (edited) 19 минут назад, Orphée сказал: It probably has tasks matching GPU capability... Well, sandro_66 found a trick which he shared in dva1622 topic that its possible to change tasks limit and create even 5 or more face recognition tasks on dva1622 (1 is supported), so I guess its not gpu capable, more like software locked, that explains why Synology used older 440.44 drivers in Nvidia Runtime Library package, so yes you are right, using dva3219 for Pascal is not bad idea at all. At least to see that Pascal gpu works ) Edited August 11, 2022 by dimakv2014 Quote Link to comment Share on other sites More sharing options...
Orphée Posted August 11, 2022 Author Share #388 Posted August 11, 2022 The trick can be usefull, yes, but I think "IF" DVA3219 works fine with pascal GPUs out of the box, it will be very very easier for the guys using these GPU to maintain/update SS package & Nvidia Runtime Library matching there architecture without needs to patch/mod package after every update from GUI. Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted August 11, 2022 Share #389 Posted August 11, 2022 Только что, Orphée сказал: The trick can be usefull, yes, but I think "IF" DVA3219 works fine with pascal GPUs out of the box, it will be very very easier for the guys using these GPU to maintain/update SS package & Nvidia Runtime Library matching there architecture without needs to patch/mod package after every update from GUI. Agree Quote Link to comment Share on other sites More sharing options...
Bullseye Posted August 11, 2022 Share #390 Posted August 11, 2022 4 minutes ago, Orphée said: The trick can be usefull, yes, but I think "IF" DVA3219 works fine with pascal GPUs out of the box, it will be very very easier for the guys using these GPU to maintain/update SS package & Nvidia Runtime Library matching there architecture without needs to patch/mod package after every update from GUI. But DVA3219 have only 4 camera liceces yes? Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted August 11, 2022 Share #391 Posted August 11, 2022 Только что, Bullseye сказал: But DVA3219 have only 4 camera liceces yes? 8 Quote Link to comment Share on other sites More sharing options...
Bullseye Posted August 11, 2022 Share #392 Posted August 11, 2022 4 minutes ago, dimakv2014 said: 8 Ok, mayby i will try on other PC to see if my card will works Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted August 11, 2022 Share #393 Posted August 11, 2022 11 минуту назад, Bullseye сказал: Ok, mayby i will try on other PC to see if my card will works I hope it will Quote Link to comment Share on other sites More sharing options...
sandro_66 Posted August 11, 2022 Share #394 Posted August 11, 2022 Good afternoon! I gave up on the idea of bootloaders DVA3221 and DVA3219 and using arpl 0.4a1, for the sake of experiment, put the DVA1622 assembly on my HP Pavilion x360 14-ba103ur ultrabook with an I5-8250U processor (integrated UHD620 graphics, as well as GeForce GTX 940M). I bypassed the limitation of 1 task (face recognition) or 2 tasks (Deep AI Analitics) using the "rules of action" method I proposed earlier (see the topic about DVA1622), dimakv2014 mentioned this in a previous post. I decided to load the ultrabook to the fullest - 10 AI tasks and 5 face recognition tasks at the same time. The load on the processor was only 50-60%. At the same time, the graphics processor of the GeForce GTX940M ultrabook is not used at all (since the DVA1622 uses only the central processor and the intel graphics integrated into it)!!! Miracles!!! Now my J4125 PC will be used as a second NAS server for storing files, photos, etc., and an ultrabook for video recording with AI functions. But you can, of course, try to use the DVA3219 bootloader in order for the ultrabook to use the graphics processor, but I'm afraid in this case cards of the 10th series (1050, 1060, 1070, 1080) and not 940M will be supported. Although on github, I asked the developer of the arpl loader in the next release to add the ability to build for DVA3219. 2 Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted August 12, 2022 Share #395 Posted August 12, 2022 (edited) 12 часа назад, sandro_66 сказал: Good afternoon! I gave up on the idea of bootloaders DVA3221 and DVA3219 and using arpl 0.4a1, for the sake of experiment, put the DVA1622 assembly on my HP Pavilion x360 14-ba103ur ultrabook with an I5-8250U processor (integrated UHD620 graphics, as well as GeForce GTX 940M). I bypassed the limitation of 1 task (face recognition) or 2 tasks (Deep AI Analitics) using the "rules of action" method I proposed earlier (see the topic about DVA1622), dimakv2014 mentioned this in a previous post. I decided to load the ultrabook to the fullest - 10 AI tasks and 5 face recognition tasks at the same time. The load on the processor was only 50-60%. At the same time, the graphics processor of the GeForce GTX940M ultrabook is not used at all (since the DVA1622 uses only the central processor and the intel graphics integrated into it)!!! Miracles!!! Now my J4125 PC will be used as a second NAS server for storing files, photos, etc., and an ultrabook for video recording with AI functions. But you can, of course, try to use the DVA3219 bootloader in order for the ultrabook to use the graphics processor, but I'm afraid in this case cards of the 10th series (1050, 1060, 1070, 1080) and not 940M will be supported. Although on github, I asked the developer of the arpl loader in the next release to add the ability to build for DVA3219. Dva3219 would be nice to try, maybe pocopico will add it soon ) since Quadro T400 is too new and Nvidia 440.44 drivers outdated and dont include this Turing gpu, maybe Quadro P400 and other pascal gpus will work with it by using dva3219, since so far it looks like Tinycore Redpill by pocopico works very stable compared to other loaders. Btw, I was thinking on upgrading Nvidia drivers to new one, modifying Nvidia Library .spk fails to install because of signature problems I think. So there are two options left: 1. Find actual drivers in dsm via ssh and replace it 2. Find the file of a driver with list of gpus and add unsupported gpu info manually Well at least until synology will update it, there must be some alternative way for sure. For two years no updates yet. Edited August 12, 2022 by dimakv2014 1 Quote Link to comment Share on other sites More sharing options...
phone guy Posted August 12, 2022 Share #396 Posted August 12, 2022 I have a couple questions about DVA3221. Does ram play a part in how well the AI work or function of the Nas/nvr in general? How much ram are you guys using? What's acceptable? 8gb? 4gb? 32gb? What cameras are acceptable? Does it only work with ip cameras? Is there any certain specific for a camera to look for? I've got a 5mp system of HD over analog cctv cameras now, the cameras are BnC, so I'm sure there's no way to use these 8 cameras? Not even sure how to interface them to a pc but even if that were possible I'm sure it wouldn't work in a Synology build, but maybe something that might convert them into something addressable on the network? Not sure. Well that's it for now. Thanks to anyone for replying. Quote Link to comment Share on other sites More sharing options...
SixthTangerine Posted August 12, 2022 Share #397 Posted August 12, 2022 18 hours ago, sandro_66 said: Good afternoon! I gave up on the idea of bootloaders DVA3221 and DVA3219 and using arpl 0.4a1, for the sake of experiment, put the DVA1622 assembly on my HP Pavilion x360 14-ba103ur ultrabook with an I5-8250U processor (integrated UHD620 graphics, as well as GeForce GTX 940M). I bypassed the limitation of 1 task (face recognition) or 2 tasks (Deep AI Analitics) using the "rules of action" method I proposed earlier (see the topic about DVA1622), dimakv2014 mentioned this in a previous post. I decided to load the ultrabook to the fullest - 10 AI tasks and 5 face recognition tasks at the same time. The load on the processor was only 50-60%. At the same time, the graphics processor of the GeForce GTX940M ultrabook is not used at all (since the DVA1622 uses only the central processor and the intel graphics integrated into it)!!! Miracles!!! Now my J4125 PC will be used as a second NAS server for storing files, photos, etc., and an ultrabook for video recording with AI functions. But you can, of course, try to use the DVA3219 bootloader in order for the ultrabook to use the graphics processor, but I'm afraid in this case cards of the 10th series (1050, 1060, 1070, 1080) and not 940M will be supported. Although on github, I asked the developer of the arpl loader in the next release to add the ability to build for DVA3219. totally, dva1622 was a miracle, many AI tasks with iGPU, your method makes it work like a charm Quote Link to comment Share on other sites More sharing options...
Orphée Posted August 12, 2022 Author Share #398 Posted August 12, 2022 (edited) # free -m total used free shared buff/cache available Mem: 32022 3795 13453 185 14773 27597 Swap: 21265 0 21265 # nvidia-smi Fri Aug 12 10:24:48 2022 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 440.44 Driver Version: 440.44 CUDA Version: 10.2 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce GTX 1650 On | 00000000:01:00.0 Off | N/A | | 34% 49C P0 23W / 75W | 1947MiB / 3903MiB | 24% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 15181 C ...anceStation/target/synodva/bin/synodvad 1002MiB | | 0 15195 C ...ceStation/target/synoface/bin/synofaced 934MiB | +-----------------------------------------------------------------------------+ I have one FHD camera running only. with motion detection, and one deep analytics task, and one face detection task. I don't know if adding more camera would increase GPU and Memory usage or if Surveillance Station cache it. Edited August 12, 2022 by Orphée 1 Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted August 12, 2022 Share #399 Posted August 12, 2022 4 часа назад, phone guy сказал: I have a couple questions about DVA3221. Does ram play a part in how well the AI work or function of the Nas/nvr in general? How much ram are you guys using? What's acceptable? 8gb? 4gb? 32gb? What cameras are acceptable? Does it only work with ip cameras? Is there any certain specific for a camera to look for? I've got a 5mp system of HD over analog cctv cameras now, the cameras are BnC, so I'm sure there's no way to use these 8 cameras? Not even sure how to interface them to a pc but even if that were possible I'm sure it wouldn't work in a Synology build, but maybe something that might convert them into something addressable on the network? Not sure. Well that's it for now. Thanks to anyone for replying. Up to 32 cameras and up to 12 tasks (face rec = 2 tasks) its enough 32gb ram, which is maximum supported by dva3221, retail comes with 8 licenses and 8gb of ram, so I guess its 1gb per cam or less, since you can use it for other things besides surveillance. So my verdict you can easely get away with 16gb or even 8gb of ram Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted August 12, 2022 Share #400 Posted August 12, 2022 (edited) 3 часа назад, Orphée сказал: # free -m total used free shared buff/cache available Mem: 32022 3795 13453 185 14773 27597 Swap: 21265 0 21265 # nvidia-smi Fri Aug 12 10:24:48 2022 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 440.44 Driver Version: 440.44 CUDA Version: 10.2 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce GTX 1650 On | 00000000:01:00.0 Off | N/A | | 34% 49C P0 23W / 75W | 1947MiB / 3903MiB | 24% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 15181 C ...anceStation/target/synodva/bin/synodvad 1002MiB | | 0 15195 C ...ceStation/target/synoface/bin/synofaced 934MiB | +-----------------------------------------------------------------------------+ I have one FHD camera running only. with motion detection, and one deep analytics task, and one face detection task. I don't know if adding more camera would increase GPU and Memory usage or if Surveillance Station cache it. It should increase cpu, gpu, gpu memory and system memory usage upon increasing number of cams. You can check it out by adding .mp4 files instead of cams Edited August 12, 2022 by dimakv2014 Quote Link to comment Share on other sites More sharing options...
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