i have searched for every tutorial i can find and end results are always the same, it just won't work in an LXC no matter what i do. i get everything setup, nvidia-smi shows the GPU, everything is loading as if it should be working but any software attempting to access it fails.
i have also tried a few merged drivers before too, that has both KVM and CUDA, etc, from the standard driver, but i do not have the 16.9/535.230.02 version merged so currently using the standard KVM without patches since its a tesla p4 model gpu and those drivers did not work either.
a few logs and outputs from my jellyfin container since that is the one i am trying to get it up and running in first then i will do the others with the same configuations:
Nvidia-smi output:
my jellyfn LXC config (removed net and mount point lines since they have specific drive names and IPs and arent important to this anyways) :
error segment from jellyfin logs when i try to run transcoding with NVENC enabled:
FFMPEG Error in jellyfin related:
any ideas and/or suggestions? i know quite a few people have got passthrough working, i have also seen a few tutorials and posts involving mapping id's to help share the device but i couldn't get that working either
i have also tried a few merged drivers before too, that has both KVM and CUDA, etc, from the standard driver, but i do not have the 16.9/535.230.02 version merged so currently using the standard KVM without patches since its a tesla p4 model gpu and those drivers did not work either.
a few logs and outputs from my jellyfin container since that is the one i am trying to get it up and running in first then i will do the others with the same configuations:
Nvidia-smi output:
Code:
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.230.02 Driver Version: 535.230.02 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 Tesla P4 Off | 00000000:17:00.0 Off | Off |
| N/A 41C P0 25W / 75W | 8128MiB / 8192MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
+---------------------------------------------------------------------------------------+my jellyfn LXC config (removed net and mount point lines since they have specific drive names and IPs and arent important to this anyways) :
Code:
#<div align='center'><a href='https%3A//Helper-Scripts.com' target='_blank' rel='noopener noreferrer'><img src='/root/ic>#
# # Jellyfin LXC
#
# </div>
arch: amd64
cores: 16
features: mknod=1,nesting=1
hostname: jellyfin
memory: 6144
onboot: 1
ostype: ubuntu
rootfs: local-lvm:vm-117-disk-1,size=64G
swap: 0
tags: proxmox-helper-scripts
lxc.cgroup2.devices.allow: a
lxc.cap.drop:
lxc.cgroup2.devices.allow: c 188:* rwm
lxc.cgroup2.devices.allow: c 189:* rwm
lxc.mount.entry: /dev/serial/by-id dev/serial/by-id none bind,optional,create=dir
lxc.mount.entry: /dev/ttyUSB0 dev/ttyUSB0 none bind,optional,create=file
lxc.mount.entry: /dev/ttyUSB1 dev/ttyUSB1 none bind,optional,create=file
lxc.mount.entry: /dev/ttyACM0 dev/ttyACM0 none bind,optional,create=file
lxc.mount.entry: /dev/ttyACM1 dev/ttyACM1 none bind,optional,create=file
lxc.mount.entry: /dev/net dev/net none bind,create=dir
lxc.mount.entry: /dev/nvidia0 dev/nvidia0 none bind,optional,create=file
lxc.cgroup2.devices.allow: c 195:* rwm
lxc.mount.entry: /dev/nvidia0 dev/nvidia0 none bind,optional,create=file
lxc.cgroup2.devices.allow: c 195:* rwm
lxc.mount.entry: /dev/nvidiactl dev/nvidiactl none bind,optional,create=file
lxc.cgroup2.devices.allow: c 10:* rwm
lxc.mount.entry: /dev/nvram dev/nvram none bind,optional,create=file
lxc.cgroup2.devices.allow: c 510:1 rw
lxc.mount.entry: /dev/nvidia-caps/nvidia-cap1 dev/nvidia-caps/nvidia-cap1 none bind,optional,create=file
lxc.cgroup2.devices.allow: c 510:2 rw
lxc.mount.entry: /dev/nvidia-caps/nvidia-cap2 dev/nvidia-caps/nvidia-cap2 none bind,optional,create=fileerror segment from jellyfin logs when i try to run transcoding with NVENC enabled:
Code:
[2025-03-26 03:05:08.360 +00:00] [ERR] FFmpeg exited with code 1
[2025-03-26 03:05:08.424 +00:00] [ERR] Error processing request. URL "GET" "/videos/bb449065-2dc3-963a-c064-6f3d3f5a1136/hls1/main/-1.mp4".
MediaBrowser.Common.FfmpegException: FFmpeg exited with code 1
at MediaBrowser.MediaEncoding.Transcoding.TranscodeManager.StartFfMpeg(StreamState state, String outputPath, String commandLineArguments, Guid userId, TranscodingJobType transcodingJobType, CancellationTokenSource cancellationTokenSource, String workingDirectory)
at Jellyfin.Api.Controllers.DynamicHlsController.GetDynamicSegment(StreamingRequestDto streamingRequest, Int32 segmentId)
at Jellyfin.Api.Controllers.DynamicHlsController.GetHlsVideoSegment(Guid itemId, String playlistId, Int32 segmentId, String container, Int64 runtimeTicks, Int64 actualSegmentLengthTicks, Nullable`1 static, String params, String tag, String deviceProfileId, String playSessionId, String segmentContainer, Nullable`1 segmentLength, Nullable`1 minSegments, String mediaSourceId, String deviceId, String audioCodec, Nullable`1 enableAutoStreamCopy, Nullable`1 allowVideoStreamCopy, Nullable`1 allowAudioStreamCopy, Nullable`1 breakOnNonKeyFrames, Nullable`1 audioSampleRate, Nullable`1 maxAudioBitDepth, Nullable`1 audioBitRate, Nullable`1 audioChannels, Nullable`1 maxAudioChannels, String profile, String level, Nullable`1 framerate, Nullable`1 maxFramerate, Nullable`1 copyTimestamps, Nullable`1 startTimeTicks, Nullable`1 width, Nullable`1 height, Nullable`1 maxWidth, Nullable`1 maxHeight, Nullable`1 videoBitRate, Nullable`1 subtitleStreamIndex, Nullable`1 subtitleMethod, Nullable`1 maxRefFrames, Nullable`1 maxVideoBitDepth, Nullable`1 requireAvc, Nullable`1 deInterlace, Nullable`1 requireNonAnamorphic, Nullable`1 transcodingMaxAudioChannels, Nullable`1 cpuCoreLimit, String liveStreamId, Nullable`1 enableMpegtsM2TsMode, String videoCodec, String subtitleCodec, String transcodeReasons, Nullable`1 audioStreamIndex, Nullable`1 videoStreamIndex, Nullable`1 context, Dictionary`2 streamOptions, Boolean enableAudioVbrEncoding, Boolean alwaysBurnInSubtitleWhenTranscoding)
at lambda_method825(Closure, Object)
at Microsoft.AspNetCore.Mvc.Infrastructure.ActionMethodExecutor.TaskOfActionResultExecutor.Execute(ActionContext actionContext, IActionResultTypeMapper mapper, ObjectMethodExecutor executor, Object controller, Object[] arguments)
at Microsoft.AspNetCore.Mvc.Infrastructure.ControllerActionInvoker.<InvokeActionMethodAsync>g__Awaited|12_0(ControllerActionInvoker invoker, ValueTask`1 actionResultValueTask)
at Microsoft.AspNetCore.Mvc.Infrastructure.ControllerActionInvoker.<InvokeNextActionFilterAsync>g__Awaited|10_0(ControllerActionInvoker invoker, Task lastTask, State next, Scope scope, Object state, Boolean isCompleted)
at Microsoft.AspNetCore.Mvc.Infrastructure.ControllerActionInvoker.Rethrow(ActionExecutedContextSealed context)
at Microsoft.AspNetCore.Mvc.Infrastructure.ControllerActionInvoker.Next(State& next, Scope& scope, Object& state, Boolean& isCompleted)
at Microsoft.AspNetCore.Mvc.Infrastructure.ControllerActionInvoker.<InvokeInnerFilterAsync>g__Awaited|13_0(ControllerActionInvoker invoker, Task lastTask, State next, Scope scope, Object state, Boolean isCompleted)
at Microsoft.AspNetCore.Mvc.Infrastructure.ResourceInvoker.<InvokeNextResourceFilter>g__Awaited|25_0(ResourceInvoker invoker, Task lastTask, State next, Scope scope, Object state, Boolean isCompleted)
at Microsoft.AspNetCore.Mvc.Infrastructure.ResourceInvoker.Rethrow(ResourceExecutedContextSealed context)
at Microsoft.AspNetCore.Mvc.Infrastructure.ResourceInvoker.Next(State& next, Scope& scope, Object& state, Boolean& isCompleted)
at Microsoft.AspNetCore.Mvc.Infrastructure.ResourceInvoker.<InvokeFilterPipelineAsync>g__Awaited|20_0(ResourceInvoker invoker, Task lastTask, State next, Scope scope, Object state, Boolean isCompleted)
at Microsoft.AspNetCore.Mvc.Infrastructure.ResourceInvoker.<InvokeAsync>g__Awaited|17_0(ResourceInvoker invoker, Task task, IDisposable scope)
at Microsoft.AspNetCore.Mvc.Infrastructure.ResourceInvoker.<InvokeAsync>g__Awaited|17_0(ResourceInvoker invoker, Task task, IDisposable scope)
at Jellyfin.Api.Middleware.ServerStartupMessageMiddleware.Invoke(HttpContext httpContext, IServerApplicationHost serverApplicationHost, ILocalizationManager localizationManager)
at Jellyfin.Api.Middleware.WebSocketHandlerMiddleware.Invoke(HttpContext httpContext, IWebSocketManager webSocketManager)
at Jellyfin.Api.Middleware.IPBasedAccessValidationMiddleware.Invoke(HttpContext httpContext, INetworkManager networkManager)
at Jellyfin.Api.Middleware.LanFilteringMiddleware.Invoke(HttpContext httpContext, INetworkManager networkManager, IServerConfigurationManager serverConfigurationManager)
at Microsoft.AspNetCore.Authorization.AuthorizationMiddleware.Invoke(HttpContext context)
at Jellyfin.Api.Middleware.QueryStringDecodingMiddleware.Invoke(HttpContext httpContext)
at Swashbuckle.AspNetCore.ReDoc.ReDocMiddleware.Invoke(HttpContext httpContext)
at Swashbuckle.AspNetCore.SwaggerUI.SwaggerUIMiddleware.Invoke(HttpContext httpContext)
at Swashbuckle.AspNetCore.Swagger.SwaggerMiddleware.Invoke(HttpContext httpContext, ISwaggerProvider swaggerProvider)
at Microsoft.AspNetCore.Authentication.AuthenticationMiddleware.Invoke(HttpContext context)
at Jellyfin.Api.Middleware.RobotsRedirectionMiddleware.Invoke(HttpContext httpContext)
at Jellyfin.Api.Middleware.LegacyEmbyRouteRewriteMiddleware.Invoke(HttpContext httpContext)
at Microsoft.AspNetCore.ResponseCompression.ResponseCompressionMiddleware.InvokeCore(HttpContext context)
at Jellyfin.Api.Middleware.ResponseTimeMiddleware.Invoke(HttpContext context, IServerConfigurationManager serverConfigurationManager)
at Jellyfin.Api.Middleware.ExceptionMiddleware.Invoke(HttpContext context)FFMPEG Error in jellyfin related:
Code:
[AVHWDeviceContext @ 0x5a3f1c01cc80] cu->cuInit(0) failed -> CUDA_ERROR_UNKNOWN: unknown error
Device creation failed: -542398533.
Failed to set value 'cuda=cu:0' for option 'init_hw_device': Generic error in an external library
Error parsing global options: Generic error in an external libraryany ideas and/or suggestions? i know quite a few people have got passthrough working, i have also seen a few tutorials and posts involving mapping id's to help share the device but i couldn't get that working either