Agisofttm Posted September 1, 2022 Share #26 Posted September 1, 2022 (edited) On 8/30/2022 at 5:19 PM, dimakv2014 said: The problem with dva3219, dva3221 is that not all of pascal/turing gpus are supported because of an old driver in Nvidia Runtime Library spk. Current driver used for both dva3221 and dva3219 is 440.44 which is old since it was released in late 2019, many pascal and turing gpu revisions (for example with gddr6 memory) were released after this driver. Once synology updates drivers or a way to edit/replace drivers in ssh will be found things will be more interesting ) @dimakv2014 I don't think that is a problem, because as Nvidia described this version include a lot more hardware - take a look here https://www.nvidia.com/Download/driverResults.aspx/156086/en-us/ Probably Synology have a custom builded driver, based on this one. From last 3 days I personally test vGPU with spoofed PCI ID's, and I can confirm that. I've Proxmox installation of this. Now I'm searching an arg: based solution for this. Currently I'm with Nvidia T600 and every other VM works with spoofed ID's Edited September 1, 2022 by Agisofttm 1 Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted September 2, 2022 Share #27 Posted September 2, 2022 (edited) В 01.09.2022 в 10:54, Agisofttm сказал: @dimakv2014 I don't think that is a problem, because as Nvidia described this version include a lot more hardware - take a look here https://www.nvidia.com/Download/driverResults.aspx/156086/en-us/ Probably Synology have a custom builded driver, based on this one. From last 3 days I personally test vGPU with spoofed PCI ID's, and I can confirm that. I've Proxmox installation of this. Now I'm searching an arg: based solution for this. Currently I'm with Nvidia T600 and every other VM works with spoofed ID's Its the same linux driver, if you will go to ssh from xpenology box, run command nvidia-smi, you should see that its totally same driver as any linux driver just compiled for synology. You can even download NvidiaRuntimeLib.spk and extract driver from there, download from nvidia link that you provided and compare that its the same exact driver. As official gpu in dva3221 was GTX1650 ggdr5 and GTX1050Ti for DVA3219 both of which are included in this driver version there was no point to modify it by synology. Besides that driver was updated in Nvidia Runtime Lib to 440.44 way after GTX1650 gddr6 was released, if synology modified it why this gpu and many others don't work then )? Also why would they leave others gpu that work instead of cutting the list to GTX1050Ti and GTX1650 during modification? Synology is too lazy company to modify things, they do software updates very slow because hardware is most that gives them profit if something is already done they wouldnt do a thing to modify it. You said you spoofed id of your gpu somehow, maybe this was a trick since driver 440.44 supports T1000 so maybe this is why you got AI working, but people with GTX1650 gddr6 as well as T400 cannot get AI to work (DVA and Face Rec). Maybe you can share info how you spoofed id and which ids you used? Your gpu's original pci id: 10de:1fb1 so interesting what is it currently. Thanks Edited September 2, 2022 by dimakv2014 Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted September 4, 2022 Share #28 Posted September 4, 2022 В 30.08.2022 в 18:00, rok1 сказал: My GTX 1650 Super has 4gb of DDR6 and works fine on DVA3221 Why shouldn't it?) It was released in Nov 2019, it is included in driver 440.44 and it was released only with gddr6 from begining. But with GTX 1650 (Not SUPER) its a different story. Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted November 5, 2022 Share #29 Posted November 5, 2022 (edited) Tested out with SUCCESS baremetal tcrp v9.0.2.9 great job Pocopico and Peter Suh, many thanks CPU: J4125 GPU: gtx1650 gddr5 NIC: RTL8169 DVA3219 with Friend DSM 7.1.1-42962 Update 1 DVA3219 Jot Mod DSM 7.1.1-42962 Update 1 DVA3219 Jun Mod DSM 7.0.1-42218 Update 5 (no other versions are available) Used commands: curl --location "https://github.com/PeterSuh-Q3/tinycore-redpill/raw/main/my.sh.gz" -O;tar -zxvf my.sh.gz; ./my.sh ./my.sh DVA3219F - for Friend ./my.sh DVA3219 - for Jot ./my.sh DVA3219J - for Jun sudo reboot 1. All Mods Work. Installs from first time no errors during installation. 2. Friend works little slower than others 3. GTX 1650 - AI (Face Rec and DVA) does not work! It is recognized however gives "Network busy" error on Face Recognition or DVA. Tried older versions of SS and NvidiaRunTimeLibrary .spk still no luck. Reinstalling SS or reset DSM didn't help either. Works perfectly with AI on DVA3221, so I guess there is restriction to gpu generation somewhere to Pascal gpus only. Edited November 5, 2022 by dimakv2014 1 Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted November 5, 2022 Share #30 Posted November 5, 2022 (edited) В 25.07.2022 в 17:13, Peter Suh сказал: DVA3219 Jot Mode Hey Peter, strange thing going on, I purchased another gpu today GTX 1050 Ti and Face Rec as well as DVA doesn't work still, reinstalled SS and NvidiaLibrary didn't help same error Network Busy I thought it locked to Pascal gpus, bought pascal and still doesnt work, clearly something is wrong Edited November 5, 2022 by dimakv2014 Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted November 6, 2022 Share #31 Posted November 6, 2022 (edited) 3 часа назад, dimakv2014 сказал: Hey Peter, strange thing going on, I purchased another gpu today GTX 1050 Ti and Face Rec as well as DVA doesn't work still, reinstalled SS and NvidiaLibrary didn't help same error Network Busy I thought it locked to Pascal gpus, bought pascal and still doesnt work, clearly something is wrong Update: I fixed it by full reset DSM and then did automatic download and update from synology .pat. It updated Jun mode dva3219 to 7.1-42661 Update 4 and face rec started to work... The only problem now that with 4 face rec tasks gpu loads about 92-93% and heats up till 80c degrees. Edited November 6, 2022 by dimakv2014 Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted November 6, 2022 Share #32 Posted November 6, 2022 UPDATE 2: On DVA3219J - Jun Mod DSM update works same as on Retail Synology, successfully updated to latest DSM version 7.1.1-42962 Update 2 from OS without need of postupdate commands. GTX1650 still doesn' work with AI GTX1050Ti works with AI Quote Link to comment Share on other sites More sharing options...
krisz67 Posted November 11, 2022 Share #33 Posted November 11, 2022 On 11/5/2022 at 3:25 AM, dimakv2014 said: Tested out with SUCCESS baremetal tcrp v9.0.2.9 great job Pocopico and Peter Suh, many thanks CPU: J4125 GPU: gtx1650 gddr5 NIC: RTL8169 DVA3219 with Friend DSM 7.1.1-42962 Update 1 DVA3219 Jot Mod DSM 7.1.1-42962 Update 1 DVA3219 Jun Mod DSM 7.0.1-42218 Update 5 (no other versions are available) Used commands: curl --location "https://github.com/PeterSuh-Q3/tinycore-redpill/raw/main/my.sh.gz" -O;tar -zxvf my.sh.gz; ./my.sh ./my.sh DVA3219F - for Friend ./my.sh DVA3219 - for Jot ./my.sh DVA3219J - for Jun sudo reboot 1. All Mods Work. Installs from first time no errors during installation. 2. Friend works little slower than others 3. GTX 1650 - AI (Face Rec and DVA) does not work! It is recognized however gives "Network busy" error on Face Recognition or DVA. Tried older versions of SS and NvidiaRunTimeLibrary .spk still no luck. Reinstalling SS or reset DSM didn't help either. Works perfectly with AI on DVA3221, so I guess there is restriction to gpu generation somewhere to Pascal gpus only. Install tenté sur un N54l pour le fun, je n'arrive pas à pinger sur le réseau le pc.... il y a une config minimum pour ce type de "montage"? Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted November 11, 2022 Share #34 Posted November 11, 2022 (edited) 45 минут назад, krisz67 сказал: Install tenté sur un N54l pour le fun, je n'arrive pas à pinger sur le réseau le pc.... il y a une config minimum pour ce type de "montage"? AMD cpus dont work in BAREMETAL DVA, minimum is Intel CPUs Haswell generation. You can try emulate Intel CPU using Proxmox VE or QEMU This is English forum, please use english next time Edited November 11, 2022 by dimakv2014 Quote Link to comment Share on other sites More sharing options...
krisz67 Posted November 11, 2022 Share #35 Posted November 11, 2022 10 minutes ago, dimakv2014 said: AMD cpus dont work in BAREMETAL DVA, minimum is Intel CPUs minimum Haswell generation. You can try emulate Intel CPU using Proxmox VE or QEMU This is English forum, please use english next time sorry, I wrote quickly, because I struggle a bit with my old pc, to launch the loader.... Quote Link to comment Share on other sites More sharing options...
yeric79 Posted November 15, 2022 Share #36 Posted November 15, 2022 hello i try install DVA3219 on ESXI but dsm install failed at 55% with hdd data on sata or scsi an idea ? Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted November 26, 2022 Share #37 Posted November 26, 2022 (edited) В 15.11.2022 в 15:42, yeric79 сказал: hello i try install DVA3219 on ESXI but dsm install failed at 55% with hdd data on sata or scsi an idea ? More info please, which cpu, how many virtual cores and ram, virtual network card used, which loader, version, step by step vm creation you have used? Edited November 26, 2022 by dimakv2014 Quote Link to comment Share on other sites More sharing options...
yeric79 Posted January 25, 2023 Share #38 Posted January 25, 2023 hi sorry for long time with no answer i try test install with tinycore-redpill.v0.8.0.0-conv.vmdk on base HDD i use your script, ./my.sh DVA3219 or ./myv.sh DVA3219 sometimes with differents settings no disk is detected sometimes install failed at 55% VM is on esxi 7 4 vCPU 4 GO Vmxnet 3 Real CPU is CPU i9 9900K other VM running DS918+ , DS3622, 920 are ok Thank's for your work Quote Link to comment Share on other sites More sharing options...
Peter Suh Posted January 26, 2023 Author Share #39 Posted January 26, 2023 7 hours ago, yeric79 said: hi sorry for long time with no answer i try test install with tinycore-redpill.v0.8.0.0-conv.vmdk on base HDD i use your script, ./my.sh DVA3219 or ./myv.sh DVA3219 sometimes with differents settings no disk is detected sometimes install failed at 55% VM is on esxi 7 4 vCPU 4 GO Vmxnet 3 Real CPU is CPU i9 9900K other VM running DS918+ , DS3622, 920 are ok Thank's for your work Current TCRP is being discussed centering on TCRP FRIEND. Did you also use TCRP FRIEND? In TCRP FRIEND, the probability of encountering a 55% disk corruption message has been greatly reduced. Quote Link to comment Share on other sites More sharing options...
aportnov Posted January 27, 2023 Share #40 Posted January 27, 2023 (edited) Will face recognition work with such a STRIX-GTX1050TI-4G-GAMING graphics card? Edited January 27, 2023 by aportnov Quote Link to comment Share on other sites More sharing options...
aportnov Posted January 30, 2023 Share #41 Posted January 30, 2023 Everything works with a 1050ti card, but the GPU is always loaded and the temperature is 60-63 degrees. The cooling rate is half. Is it possible to change the speed of coolers somehow? Quote Link to comment Share on other sites More sharing options...
yeric79 Posted February 14, 2023 Share #42 Posted February 14, 2023 (edited) Le 26/01/2023 à 03:54, Peter Suh a dit : Current TCRP is being discussed centering on TCRP FRIEND. Did you also use TCRP FRIEND? In TCRP FRIEND, the probability of encountering a 55% disk corruption message has been greatly reduced. hi it's ok with TCRP 0.9.4 and with no update user_config.json (with update no hdd found) but GPU not detected Edited February 14, 2023 by yeric79 Quote Link to comment Share on other sites More sharing options...
perlrs Posted March 25, 2023 Share #43 Posted March 25, 2023 Just installed tinycore-redpill.v0.9.4.0-1.m-shell.img in Proxmox (Intel i3-10105 with GTX1650). Something wrong here Quote Link to comment Share on other sites More sharing options...
Peter Suh Posted March 25, 2023 Author Share #44 Posted March 25, 2023 7 hours ago, perlrs said: Just installed tinycore-redpill.v0.9.4.0-1.m-shell.img in Proxmox (Intel i3-10105 with GTX1650). Something wrong here Thanks, there was a typo. I Fixed it, please rebuild again. 1 Quote Link to comment Share on other sites More sharing options...
perlrs Posted March 25, 2023 Share #45 Posted March 25, 2023 8 hours ago, Peter Suh said: Thanks, there was a typo. I Fixed it, please rebuild again. Much better But it seems that my nvidia GTX1650 card doesn't like that old driver (didn't like the DVA3221 option either). Quote Link to comment Share on other sites More sharing options...
bluecatus Posted April 1, 2023 Share #46 Posted April 1, 2023 (edited) How can I install with previous version as 7.0.1-42218? Thank you. Edited April 1, 2023 by bluecatus Quote Link to comment Share on other sites More sharing options...
jerico Posted August 7, 2023 Share #47 Posted August 7, 2023 (edited) I have DVA3219 working with GT 1030 with Facial Recognition and Deep Video Analytics. I'd say a good low-power alternative to enable AI tasks. I used arpl-i18n loader. DVA3219 is under beta platform. +-----------------------------------------------------------------------------+ | 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 GT 1030 On | 00000000:01:00.0 Off | N/A | | 58% 60C P0 N/A / 30W | 1516MiB / 2001MiB | 74% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 26525 C ...ceStation/target/synoface/bin/synofaced 746MiB | | 0 26527 C ...anceStation/target/synodva/bin/synodvad 760MiB | +-----------------------------------------------------------------------------+ Edited August 7, 2023 by jerico 1 Quote Link to comment Share on other sites More sharing options...
dimakv2014 Posted August 27, 2023 Share #48 Posted August 27, 2023 (edited) On 8/7/2023 at 6:52 AM, jerico said: I have DVA3219 working with GT 1030 with Facial Recognition and Deep Video Analytics. I'd say a good low-power alternative to enable AI tasks. I used arpl-i18n loader. DVA3219 is under beta platform. +-----------------------------------------------------------------------------+ | 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 GT 1030 On | 00000000:01:00.0 Off | N/A | | 58% 60C P0 N/A / 30W | 1516MiB / 2001MiB | 74% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 26525 C ...ceStation/target/synoface/bin/synofaced 746MiB | | 0 26527 C ...anceStation/target/synodva/bin/synodvad 760MiB | +-----------------------------------------------------------------------------+ And what did you do to make it work? Which brand, model, revision and memory type of gt 1030 did you use? More info would be great Edited August 27, 2023 by dimakv2014 Quote Link to comment Share on other sites More sharing options...
dj_nsk Posted February 12 Share #49 Posted February 12 В 07.08.2023 в 10:52, jerico сказал: I have DVA3219 working with GT 1030 with Facial Recognition and Deep Video Analytics. I'd say a good low-power alternative to enable AI tasks. I join in the questions @dimakv2014 - how exactly did you manage to do this, @jerico? Quote Link to comment Share on other sites More sharing options...
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