Tdarr cpu

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• If you want to get it working do the following steps: Open Tdar and go to classic plugins. 00) [Contains built-in filter] This plugin uses different CRF values depending on resolution, the CRF value is configurable per resolution. Checked file permissions are ok. From what I've seen regarding H265 encoding pipelines, CPU based encoding rather than hardware accelerated tends to result in smaller file sizes and less artifacting. Realized I can just have it try GPU first, then fail to CPU, so why not include both. 10 pre-lease which fixes an On Windows 10 I had to go into Advanced Power Options and turn the Maximum Processor State to 85% which dropped my CPU temp from 90 to 70 degrees. While it chugs through I am noticing a massive CPU draw on my system. Tdarr_Plugin_MC93_Migz1FFMPEG_CPU. 1. If you want to use Tdarr to transcode media files using hardware acceleration, you will need a computer with a compatible GPU. I just use the GPU to do a full inspection of the file post encode. FFmpeg Preset can be configured, uses slow by default. Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered. If there are 2 files in the queue then Tdarr failing to use GPU encoding cannot figure it out. ago. Jul 3, 2023 · Health checks are performed by specific workers known as Health Check workers. Wondering how many cores I can comfortably run to maximize transcodes when not in use. --Update--. Settings are dependant on file bitrate Working by the logic that H265 can support the same ammount of data at half the bitrate of H264. m4a. That will use your CPU which you might not want long term (especially if you have a GPU) because it's super slow but just to test. To Reproduce. Getting multiple machines working together across a local network requires some configuration. There were a couple of times that the SIP core clock (the QuickSync hw) was tied to the CPU core speed. . srt as with the same name as the movie file and will automatically be loaded in plex, emby, or most pc movie players. RAM: 4 GB or more. Whenever I create 3 CPU workers my staging Files fill up with the status "require GPU worker" Anyone know what I'm doing wrong? Simple enough, QuickSync is a GPU process even though it runs on the CPU. And a current transcode that should be NVENC is being converted using the CPU. All three hog the CPU to the extent they are hardly usable . My Proxmox server is running on a Xeon E5-2450 @ 2. Expected behavior. To do thorough health checks using a GPU, select ‘Thorough’ in the library health check settings and launch a GPU worker. 10GHz with 16 cores. CPU working, but GPU fails. In Tdarr, there are two types of health check workers: CPU and GPU. OS: Proxmox lxc container running Alpine linux. Set GPU instances, not CPU. Replace . It depends on the CPU and hardware bottlenecks. No video transcoding. This will ensure that any changes you make will not be replaced as this is now your plugin, next. On Intel, for the encode stage, it's _mostly_ the GPU generation. The answer is "maybe". Hi All I am using a node with an AMD GPU the RX Vega 64 to be exact and after encoding I am noticing significant delay in scrubbing and what I feel is significant quality degradation the plugin I am using is as follows. Source files are on DrivePool (local to server, DAS) Single Transcode CPU We would like to show you a description here but the site won’t allow us. Tdarr Library At the very top, click Library (and yes you can create multiple ones later, but do this first and make sure it works!) Gpu is much faster but the output size and quality might not be as good/small as cpu. Using extra Tdarr Nodes on multiple machines to increase transcoding resources is - Use cross-platform Tdarr Nodes which work together with Tdarr Server to process your files - GPU and CPU workers - Audio and video library management - Folder watcher - Worker stall detector - Load balancing between libraries/drives - Use HandBrake or FFmpeg - Tested on a 1,000,000 file dummy library - Library stats Dec 11, 2019 · clifford64 commented on Jan 7, 2020. Tdarr uses GPU to transcode 4 episodes at a time from x264 to x265. it will save the . Here's a typical ffmpeg command. Getting Started Tdarr V2 is a cross-platform, distributed transcoding system that is broken up into multiple modules. I'm having the same problem with NVEC. 21; tdarr logs and config attached 3. To Reproduce I have two plugins, the first is a modified version of 'Tdarr_Plugin_s7x9_win Encoding using AMD GPU. Apr 10, 2020 · Right now the only solution is to run 2 instances of tdarr , 1 doing CPU transcoding and 1 doing GPU transcoding. The plugin I'm using is supposed to utilize QSV. Paste the code from above url. I've also set that GPU workers CAN do CPU tasks. Start GPU transcoding, observe top on node. Also, set CPU transcode workers to 0 on your tdarr node. Scenario 2 (3 days into array being up) iowait skyrockets to 50-70% of CPU making CPU 100% and freezing everything. Is there a way to only have the CPU transcode when the status is "Require CPU Worker"? A lot of people will say that GPU encoding is crap compared to CPU encoding, because the quality’s not as good and the compression isn’t as good, but it’s WAAAAY quicker! If I’m not mistaken, your i7 should have Intel QuickSync capabilities? There is a separate branch of Tdarr with QuickSync support - Tdarr_aio:qsv. 17. srt files and save them with the video file. Does that plugin use handbrake or ffmpeg. Cross-platform Nodes Beta v1. Seeing "TransportError: xhr poll error" and "ECONNREFUSED" errors in the logs. I run all my raw blu-ray mkvs through the same 2 stage CPU encoding as normal. As you can imagine a single transcode takes ages (one movie takes 8-10hrs). Plex server transcodes are throttled so that's why they don't max out your CPU. May 6, 2022 · To transcode into hevc using FFmpeg, use the libx265 encoder, for example: ffmpeg -i "C:\Transcode\input. 40GHz 24gb ram One thing I would try would be to go into the "Transcode to H265" node and use this plugin instead Tdarr_Plugin_MC93_Migz1FFMPEG_CPU. I have a large video file I'm retranscofing. In the node options I do NOT have "Allow GPU workers to do CPU tasks" enabled, yet it's still doing them. However the CPU is a 8500T that supports the newer quicksync. • 4 mo. but It seems even though i say transcode GPU its still using the CPU. Manually set to NVEC. Currently there is only 1 setting for the workers, which is shared for both CPU and GPU. Apr 25, 2022 · But if the user ever re-downloads a Tdarr docker image the /firstRun is triggered and the long, and mostly needless, chown process has to run. This solved my issues getting Tdarr GPU encoding working on my 10th gen Intel CPU in a docker on Unraid. I wanted to get more information on how you guys transcode to h265 and what ffmpeg/handbrake commands you use in order to get the best results. Tdarr V2 is a cross-platform conditional based transcoding application for automating media library transcode/remux management in order to process your media files as required. It effectively uses the 'iGPU' of the Intel chip to do it. " Tdarr_Plugin_075a_Transcode_Customisable. In the plug-in section go in the community section and just tape « Mac » you will have two result use « Tdarr_Plugin_ER01_Transcode audio and video Tdarr is just a fancy front end for ffmepg. another option is to use bazarr or the opensubs plugin in plex or emby to automatically grab . Tdarr - Distributed transcode automation using FFmpeg/HandBrake + Audio/Video library analytics + video health checking (Windows, macOS, Linux & Docker) - Seriox/Tdarr-AMD-GPU Health Check CPU Does quick and thorough health checks using CPU. 2 workers would be 4 hours 2 minutes. 204 release [10th August 2020]: (NVDEC) FFmpeg thorough health checks now show percentages and ETA. Tasks such as reordering streams, cleaning audio, cleaning subtitles, etc. It's now 14:15 and the transcode is still going using 95% CPU. Same behaviour 100% cpu and memory. 0. Nov 11, 2023 · Even with the QSV set, once all the GPU workers are in use it will start using the CPU. I can assure you QSV works, I have a 10th & 11th gen working on windows & unraid respectively. The Unraid server is quite old hardware, the node is running on a ZBook with a Nvidia P500 so i thought i could use the laptops GPU for the Transcoding. CPU use seems high for GPU transcoding. Run for a while building up a database. If using NVENC on an Ubuntu or Debian host, make sure to install the NVIDIA container toolkit on the host. dkyleb • 1 yr. Works fine for classic plugins. Speed of the conversion isn't really an issue for me but I don't want to pin the CPU during the day when other services may be used so I will set up a schedule in Tdarr to run the process overnight. If your CPU is already throttled by your other apps, Tdarr can use your systems dedicated GPU to process transcoding jobs. It is a pain in the ass to set up from what i garthered, so I haven't done it yet. Squeeze every ounce of performance you can out of your hardware. The other dockers were using the 14C/28T available but not Tdarr. I have no CPU pinning or isolation in place. It needs the non-free-firmware repo and these two packages installed: mkvtoolnix intel-media-va-driver-non-free. If you have an Nvidia GPU on your system, you can use the hevc_nvenc to transcode 5-10 times faster, although note that the quality isn't quite as good as when using CPU based Sep 30, 2021 · Tdarr_Plugin_MC93_Migz1FFMPEG_CPU Migz-Transcode Using CPU & FFMPEG #177. That said it uses more power and is slower. 5hrs 31mins Gaming Desktop: AMD 3950x, only goes up to 53% CPU utilization, so not fully using the entire CPU. Quick health checks are only done on CPU workers Mar 28, 2023 · However, when using separate CPU/GPU nodes, the files can be queued to the GPU node before passing through the CPU node, and the process still errors out. Unless I put CPU to 0 it will not use the GPU. Some more powerful processors only hit 30-40% when running a single transcode so that's why it's necessary to be able to run multiple workers. The number of threads is typically bottlenecked by drive speed, not CPU (even when using an SSD). 3 workers was 3 hours 52 minutes. tehniemer commented on Aug 17, 2021. I have the server and node running on a dedicated Windows 11 computer with a nvidia gtx 1050ti card. I just found this app and am attempting to set it up to save some space on my Synology NAS (DS920+) I set up Tdarr to run on my windows 10 computer with 5950x and a 2080 super and mapped the NAS drives to the windows computer. r/Tdarr. Is there a way to have both CPU and GPU tasks in a flow without a CPU worker taking GPU tasks? I am using handbrake and ffmpeg custom commands in my flow. However if there's an MP3 in a lower quality, I do not want it to transcode/upscale those. I am running Tdarr 2. 04. I would like it to pause transcoding. I had three transcodes going at once and my total FPS was between 60 and 70. Click Local and create a new plugin. Nov 8, 2023 · You can try using this option in the node panel for reducing process priority: Best way to do this is to use Docker (available on Windows too) and then pin the cores available to the container. I'm not sure if there is a way to do it natively in Windows, but you could use Bitsum Process Lasso. Closed bullmoose20 opened this issue Sep 30, 2021 · 6 comments Closed Mar 31, 2023 · The built in ffmpeg on Tdarr is v4 and I think v5 is needed. This works for me. This would allow a user to have: X workers for GPU transcoding and Y workers for GPU transcoding. 00. Everything works as expected but the Tdarr Node Worker only uses 2 cpus from 8 available. Both as admin and normal elevation. So far I only use CPU encode for the transcode into h265. Hey Fam, so I have Tdarr server and node installed on a windows pc AMD ryzen 5 3600 with a gtx1660ti, and a Each Node can run multiple 'Tdarr Workers' in parallel to maximize the hardware usage % on that Node. Terms: Add the Tdarr_Plugin_075a_Transcode_Customisable plugin to the plugin stack Set the CLI to "handbrake" and set the parameters to your exported preset (--preset-import-file "C:\Users\HaveAGitGat\Desktop\testpreset. 0 RC3. I have set it to use the GPU (A GTX 980), with 0 CPU cores. i7-4770; On the left side, click Computers/Tablets & Networking; Then click Desktops & All-In-Ones; Sort by Price + Shipping: lowest first; Inspect each listing for CPU, RAM, chassis size, and included extras. Unfortunately, it looks like it's going to take >72 hours to transcode a movie that was a little over 10 Tdarr 2. The option " Low FFmpeg/HandBrake process priority " does nothing from my testing . Workers which are toggled 'Off' will finish their current item before closing down. Windows 10 Intel(R) Core(TM) i7-2600 CPU @ 3. and said to use the GPU's I am running task manager to monitor the GPU usage. Setup Tdarr node. I changed the variable of " NVIDIA_VISIBLE_DEVICES" to "NVIDIA VISIBLE DEVICES". Hello, i did a little research about Tdarr and basically followed the great video of spaceinvaderone to set up: Unraid Server which has the Server and a Node running on a Windows 10/11. I would not expect CPU usage to be this high per transcode, PLEX seems to be able to hardware transcode on this machine with about 5% CPU per transcode. Can I schedule max/min usage for varying times during the day so I can actually I have installed TDarr on windows to try it out. Now I disabled the isolation and things are back to normal. mkv". If you plan on using multiple nodes to access the presets file, you can put it on the share drive. That's exactly what I'm trying to figure out- how to configure the plugin order properly. If the above doesn’t work you could try running the 2. Create another node and then on the node options panel on the ‘Tdarr’ tab, select the hardware type as nvenc. I'm running a single Tdarr node on it (same container as the Tdarr server) and that node is set to have three CPU workers (and one Healthcheck worker) since that gets the CPU usage up to about 80%. Add the plugin to your setup, and done! It's what I've done, just a matter of configuring the plug in order and if done properly when you use CPU it'll do that plugin and GPU it'll use one of the other plugins in the stack. Additional context Add any other context or screenshots about the feature request here. The other part that is conditional, is that A GPU can only help with re-encoding video. This plugin will skip any files that are in the VP9 codec. And example would be a 32core system with 1 CPU will get you smaller files size with the same quality of GPU. Tiered FFMPEG CPU CRF Based Configurable (v1. I swapped out the default ffmpeg the Tdarr container came with for the one Dec 16, 2019 · HaveAGitGat commented on Jan 17, 2020. When lowering amounts of simultaneous transcodes, total fps drops. Both available in the community tab. This is important and counter intuitive: Set the hardware encoding type to vaapi and not qsv. This is important and counter intuitive: Set GPU instances not CPU! Your CPU's QSV engine is considered a GPU to Tdarr. Beta v1. On the main Tdarr tab, in the "Server Overview" and Nodes section (if you click on "MainNode" default name), it shows the current OS memory and OS CPU stats. Head to your library and in the Transcode Options add the Tdarr_Plugin_075a_Transcode_Customisable Video Transcode Customisable plugin Once the plugin has been added, you need to add your options so it uses your AMD GPU for encoding. I don't think they've done that in a while, and it was only a few chips they ever did it on to my knowledge. In order to use Only use CPU when required. Download the community plugin to your local: Tdarr_Plugin_075a_Transcode_Customisable Video Transcode Customisable. We would like to show you a description here but the site won’t allow us. Describe the solution you'd like Mark certain steps in the plugin stack to be CPU tasks that run on GPU workers instead. You can run Tdarr using only a single machine. Edit: solved, forgot to enable gpu in the stack and disable cpu. Jul 4, 2023 · If I then restart tdarr. Screenshots. Unraid, Tdarr server + Tdarr Tdarr_Plugin_MC93_Migz4CleanSubs This will remove audio languages except native and English (in the case of foreign films for example, a little complicated to setup with the *arr keys) Tdarr_Plugin_henk_Keep_Native_Lang_Plus_Eng This for actual transcoding CPU or GPU (kind of recommend CPU for quality but it's 10x+ more time) I am running a test node with tdarr in my homelab. I dragged my folders into a terminal window to get the paths and copied & pasted into the Tdarr library settings. What have I done wrong? You can only pause the schedule, not the current Sep 14, 2022 · Describe the bug Under certain circumstances TDAR processing can 'skip' or 'bypass' a plugin if both CPU and GPU workers are enabled for the node. I will be covering everything from the download/installation to setting up I have tdarr nodes on 3 PCs ( 1x i5 & 2x i7 ) with the server on a big Qnap NAS. For example, you can set rules for the required codecs, containers, languages etc that your media should have which helps keeps things organized and can increase I have tdarr running in Docker GPU transcoding and I've been noticing ffmpeg is using ~20% CPU per transcode, this seems high to me, can anyone else weigh in if this is to be expected or if something isn't quite right? CPU is a Celeron G4900 which doesn't break a sweat with 10+ PLEX transcodes. I did some testing with multiple files with multiple qualities and found that with 1 worker, the time would be 4 hours 15 minutes. 8. json" -Z "My Preset") And that's about it, everything else is just using Tdarr normally. All drivers updated, all options for gpu checked, using the plugins that specify gpu but it is still resorting to my cpu. I don't want my CPU to transcode at all. Output files sizes seems between 40-50% smaller. Follow space invader one skipping the nvidia gpu portion and away it went. My CPU load is around 30% tops while usage of GPU is 100%. And audio/remux only tasks, your main bottleneck will be your disk speeds. Change the ID to Tdarr_Plugin_Dist_M4A_FFMPEG_CPU, the ID always has to be the same as the filename. So this is the stack that I'm currently using for a Modifying Tdarr_Plugin_Greg_MP3_FFMPEG_CPU. No crazy options, just using Handbrakes "HQ 1080p30 Surround" preset. Video Transcode Customisable ". The number of workers makes no difference they all still use close to 100%. 3/openZFS 2. Tried re-installing the tdarr docker image with the same results. Reply. Cpu has had all 6 threads maxed out for the last three days and has a LONG way to go, but I see the benefit at the end of the tunnel. Running multiple Workers in parallel allows the CPU to hit 100% utilization, allowing you to process your library more quickly. no need to mux. For me, I want the space, so it’s slower. The issue is that there are different generations of the gpu between cpu generations which can cause issues. I am running latest Tdarr/unraid 6. Transcoding with only 2 of 8 is really slow :/. CPU: Intel or AMD processor with at least 2 cores. Host CPU under 10% but up to 100% when transcoding. I don't know if this speed is fine and just wait until its done, or try to use different plugin or change preset to different profile. A 2600x should be fine with 2 scanner threads but you can also try just one. For newbies like me, copy the entire text > go to your tdarr flows and add a flow > scroll to the bottom "Import JSON template" > paste the entire thing into that tiny box. 3GB: Unless you are talking about Intel chips with QuickSync, a pure GPU transcode is going to be faster. The config needs to be changed to point to the system ffmpeg at /bin/ffmpeg. Jan 2, 2020 · I also had this issue, mine was related to Tdarr running on a different machine running constant folder watches over NFS network drive. Migz Transcode Using CPU & FFMPEG (v1. Mar 1, 2021 · How to Setup and start using TDARR to scan your media libraries and convert them. Go to library (and create one of you don't have) Go transcode options, then local. How many cores should I run? Can I schedule different numbers of CPUs? My home PC has an i9-9900 CPU with 32GB RAM for my server/node. I was suprised at the results I got from a file that was 60 mins, 1080p, h264 and 3. GPU or CPU also changes nothing . Tdarr on Nas too slow to be worth it? I'm running Tdarr on my Synology DS416 play, which obviously doesn't have the most powerful processor. js. Open the Node Options. Are there any settings I can be utilizing to stop Tdarr from drawing so much power from my system? Set up is as follows. I find it works quiet well. So I am going to stick with 3 workers for now. I figured since it hosts my media files and my Kodi server, that was the best place to put it. Describe the solution you'd like Set a rate limit for how much CPU usage should occur. Describe the bug. --Edit2-- you're using a CPU plugin in your workflow (FFMPEG_CPU). Dropped down to two transcodes and it is currently transcoding two 1080P X264 videos and the total FPS is 19, 10 for 1 and 9 for the other. You can really fine tune which files get processed and which done. manbug10. My first Tdarr newbie post here so be gentle :) I have set the Library schedule and the Node schedule to 12:00 - 14:00 CPU 1 as a test. Configured the latest TDARR on a Windows Server 2019 box. Create a node and then on the node options panel on the ‘Tdarr’ tab, select the hardware type as qsv. Cache is on an SSD. clifford64 closed this as completed on Jan 7, 2020. More info here: When transcoding with Intel ARC i found out that using all available CPU (current default settings) 32 vs using only 4-8 on ryzen 5950x Sorry you're still having issues. . Apr 5, 2023 · The task is waiting to be picked up by a worker on a Tdarr Node which allows Videotoolbox tasks: Require AMF Worker: The task is waiting to be picked up by a worker on a Tdarr Node which allows AMF tasks: Require CPU Worker: The task is waiting to be picked up by any CPU-based worker Using the Tdarr_Plugin_MC93_Migz1FFMPEG_CPU Migz-Transcode Using CPU & FFMPEG plugin. 9) Files not in H265 will be transcoded into H265 using CPU with ffmpeg. Handbrake decoding is only cpu and encode is gpu or cpu. The ETA for heath check was 24+ hours/movie, now it's 30 minutes or so. Plenty of horsepower available. 0hrs 24mins Macbook Pro M1: My laptop, only goes to 80% CPU utilization, so not fully using the entire CPU. Ffmpeg on windows worker fairly straightforward and used my 1070ti. Less powerful, but the lower temp is worth it. My tasks are audio/remux only. 20K episodes 2K Movies. My media is starting to take up some serious space, so I decided it was time to learn how to setup tdarr to help in the future. unRaid Server: Intel 10100 with CPU core 4/thread pair pinned to the TDARR node My default node for 24/7 transcodes. One thing I have noticed is that my GPU is doing all of the normal CPU tasks. mkv" -map 0 -c copy -c:v libx265 "C:\Transcode\output. Disk space: 10 GB or more. Start a GPU worker on each node. Info Use the Worker limit control buttons on each node to startup and maintain the specified number of Workers. 01 100%CPU I am running 3 Nvidia 1660 Supers I disabled the CPU Graphics. Yay I finally maxed out my Unraid mobo today: max ram capacity, best CPU it can handle, every SATA port used, every PCIe lane in use upvotes · comments r/Ubiquiti Try disabling them and rescanning, some files/drives can cause odd results. [deleted] • 4 mo. Rename the plugin to Tdarr_Plugin_Dist_M4A_FFMPEG_CPU. It's odd I can't have any CPU workers set, I want to use the CPU for things like audio encoding. ptichalouf1. Check the transcode processes finish So I got Tdarr running this week and started attacking my library. Plugin I used is “Tdarr_Plugin_ER01_Transcode audio and video with HW (PC and Mac)” Then start Tdarr_Node for a few seconds so it creates its files and stop Node & Server. Comment deleted by user. However, there are some processes that require CPU transcoding, like extracting subtitles and transcoding audio. No problems all good. Mar 30, 2021 · When Tdarr runs it will max the CPU usage. I'd like to modify the filter to do a few things. Run this command in the docker container console: apt install vainfo intel-media-va-driver-non-free. I use my m1 MacBook Pro 24/24 with tdarr. These workers can be fired up and closed down as necessary, providing flexibility in managing system resources. 10 server and node. You can even import your settings file from Handbrake. Download a newer image (or re-run a docker run command) Aug 11, 2019 · The easiest way to find a prebuilt on ebay with the CPU that you want: Go to the search box, and search the CPU you want. The good solution is download the correct version of tdarr and in the config files past your own ffmpeg binary for Mac arm. Place the presets file somewhere the Tdarr node can see it. 1 This one is in Docker on a VM running on VMWare ESXi, the host has 20GB of RAM This one is also the Tdarr server, and has a few other unrelated services running CPU: Intel Core i7-9700K (8 cores/8 threads) Tdarr_Plugin_Greg_MP3_FFMPEG_CPU Audio Transcode To MP3 Using CPU And FFMPEG (v0. Depends on what your end goal is, like u/Agent117184 mentioned if you just want it all to be smaller and you've got time to let it run Nov 11, 2021 · Add a qsv and and nvenc plugin to your plug-in stack. • 2 yr. --Edit-- Added GPU transcoding. Debian 12 seems to work better as well. Health checks in Tdarr are designed to work in tandem with its transcoding capabilities. On my system: 1 GPU Transcode and 2 GPU Health Checks. Tdarr Version : 2. All dockers freeze up and UI is unresponsive. I have these 3 Tdarr nodes: CPU: Intel Xeon E3-1225 v3 (4 cores/4 threads) RAM: 16GB (I think DDR3, not 100% sure) OS: Ubuntu Server 20. When running Tdarr with the CPU isolation, only those 2C/4T threads were used for some reason. You'll be specifying the file path in the Tdarr preset that I'm going to provide, but the file must be accessible and readable from the Tdarr node. mp3 with . My question is, can Tdarr be configured to show the GPU stats (mem and %)? Thanks! Well, I was just going to have a look at the source code on github, but, to my surprise, it's closed Jul 22, 2023 · Operating system: Windows, macOS, or Linux. sflesch. Allow GPU workers to do CPU tasks and then click the X in the upper right. Since Tdarr looks very nice to me and i would like to free up space in my media library i have setup Tdarr with Unraid Docker. After looking at other docker containers that have nvidia transcoding included by default. All that toggle does is within Tdarr allow gpu workers to do cpu tasks, so you don’t have to mix workers and flood your staging area. For example, a single FFmpeg worker running on a 64 core CPU may only hit ~30% utilization. Schedule and Pause not working. Using the ‘Allow GPU workers to do CPU tasks’ option just allows a GPU worker to collect that task, but it will still be the same libx265 encoder which uses CPU. Tdarr containers support NVENC and VAAPI hardware/GPU accelerated transcoding. I'd like it to transcode any MP3 that is over 192k bitrate to 192k, and I would also like it to transcode anything that is not MP3 in the directory to 192k MP3. I know GPU transcoding isn’t the best but eh these aren’t important shows. I tried to seperate them using different libraries but learned that I cannot have two libraries use the same source folder. 1) [Contains built-in filter] Convert an audio file to mp3, retaining ID3 tags, and at original bitrate up to 320k - from type of: "flac,wav,ape,ogg,m4a,wma,opus" Make sure in the Node Options for your QSV tdarr node you have the hardware encoding type set to "vaapi" and NOT "qsv". Add resource stats to dashboard for process and OS used/free memory as well as OS CPU%. 205 release [20th August 2020]: Clean-up/reduce size of files' log and history on start-up. no underscores (just for the name section). Unfortunately I don't think I've seen 12th gen intel working with tdarr yet. Stop and delete docker container and image. I only have on worker running on the same windows machine as the server node. Only getting 1 FPS on each file which is strange? Source file (s) ~5GB, mpeg2video (TS file) 1080p. 👍 1. Health Check GPU Does thorough health checks using GPU. Switch to either plugin 'Boosh-Transcode using QSV GPU & FFMPEG' or 'FFMPEG VAAPI HEVC Transcode'. I am new to Tdarr. Reducing the frequency of folder watching greatly reduced the CPU usage of SHFS Edited December 22, 2022 by Jackaryas We would like to show you a description here but the site won’t allow us. You can quickly verify that you have your host system set up correctly by running the following Docker run commands. lr vz zb wy gt jx vd gl yx hk