---
title: "Tdarr Ubuntu-Manticore Setup"
description: "Setup guide for Tdarr server and GPU node on ubuntu-manticore (10.10.0.226) with GTX 1070, including Docker Compose config, GPU/NVENC capabilities, B-frame limitations, migration steps from old server, and performance benchmarks."
type: guide
domain: tdarr
tags: [tdarr, ubuntu-manticore, docker, nvidia, gtx-1070, nvenc, hevc, migration]
---

# Tdarr Setup on ubuntu-manticore

## Overview
Tdarr server and GPU-accelerated node deployed on ubuntu-manticore (10.10.0.226) with NVIDIA GTX 1070 for hardware transcoding. Migrated from old server at 10.10.0.43.

**Date**: 2025-12-04

## Architecture

```
ubuntu-manticore (10.10.0.226)
├── tdarr-server (container)
│   ├── Web UI: http://10.10.0.226:8265
│   ├── Node Port: 8266
│   └── Data: ~/docker/tdarr/server-data/
├── tdarr-node (container)
│   ├── Node Name: manticore-gpu
│   ├── GPU: GTX 1070 (NVENC/NVDEC)
│   └── Cache: /mnt/NV2/tdarr-cache (NVMe)
└── Media: /mnt/truenas/media (CIFS mount)
```

## Docker Compose Configuration

**Location**: `~/docker/tdarr/docker-compose.yml`

```yaml
version: "3.8"
services:
  tdarr:
    image: ghcr.io/haveagitgat/tdarr:latest
    container_name: tdarr-server
    restart: unless-stopped
    ports:
      - "8265:8265"  # Web UI
      - "8266:8266"  # Server port (for nodes)
    environment:
      - PUID=1000
      - PGID=1000
      - TZ=America/Chicago
      - serverIP=0.0.0.0
      - serverPort=8266
      - webUIPort=8265
    volumes:
      - ./server-data:/app/server
      - ./configs:/app/configs
      - ./logs:/app/logs
      - /mnt/truenas/media:/media

  tdarr-node:
    image: ghcr.io/haveagitgat/tdarr_node:latest
    container_name: tdarr-node
    restart: unless-stopped
    environment:
      - PUID=1000
      - PGID=1000
      - TZ=America/Chicago
      - serverIP=tdarr
      - serverPort=8266
      - nodeName=manticore-gpu
    volumes:
      - ./node-data:/app/configs
      - /mnt/truenas/media:/media
      - /mnt/NV2/tdarr-cache:/temp
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    depends_on:
      - tdarr
```

## GPU Configuration

### Hardware
- **GPU**: NVIDIA GeForce GTX 1070 (Pascal architecture)
- **Driver**: 570.195.03
- **CUDA**: 12.8

### NVENC Capabilities
| Encoder | Supported | Working |
|---------|-----------|---------|
| h264_nvenc | Yes | Yes |
| hevc_nvenc | Yes | Yes |
| av1_nvenc | Yes | No (requires Turing+) |

### Important Limitation: B-Frames
**GTX 1070 does NOT support B-frames for HEVC encoding** (Pascal limitation).

If using `Tdarr_Plugin_MC93_Migz1FFMPEG` or similar plugins:
- Set `enable_bframes` to `false`
- Otherwise you'll get: `Max B-frames 5 exceed 0` / `No capable devices found`

B-frame support for HEVC NVENC requires RTX 20-series (Turing) or newer.

## Migration from Old Server

### Source
- **Server**: 10.10.0.43 (ubuntu-ct, SSH alias: `tdarr`)
- **Container**: tdarr-clean
- **Data**: `/home/cal/container-data/tdarr/tdarr-clean/server/` (~4.4GB)

### Migration Process
```bash
# Stop old server
ssh tdarr "docker stop tdarr-clean"

# Pull data to local workstation (relay)
rsync -avz --progress tdarr:/home/cal/container-data/tdarr/tdarr-clean/server/ /tmp/tdarr-server-data/

# Push to new server
rsync -avz --progress /tmp/tdarr-server-data/ cal@10.10.0.226:/home/cal/docker/tdarr/server-data/

# Start new server
ssh cal@10.10.0.226 "cd ~/docker/tdarr && docker compose up -d"
```

## Performance

### Observed Speeds
- **1080p H.264 → HEVC**: 200+ fps (~8-9x real-time)
- **GPU Utilization**: 30-60% encoder, 40-70% decoder
- **Power Draw**: ~52W during transcoding (166W max)

### Monitoring GPU Usage
```bash
# Basic status
nvidia-smi

# Detailed encoder/decoder utilization
nvidia-smi dmon -s u
```

### Recommended Settings
- **GPU Workers**: 1 (leaves headroom for Jellyfin)
- **CPU Workers**: 0 (GPU-only transcoding)

## Troubleshooting

### Error: "Max B-frames X exceed 0"
**Cause**: Plugin configured with B-frames, but GTX 1070 doesn't support them for HEVC
**Fix**: Disable `enable_bframes` in the plugin settings

### Error: "No capable devices found"
**Cause**: Usually means incompatible encoding parameters, not missing GPU
**Check**: Run `nvidia-smi` inside container to verify GPU access:
```bash
docker exec tdarr-node nvidia-smi
```

### Slow File Copy (0% progress)
**Cause**: Large files copying from network share to local cache
**Expected**: ~90 seconds for 10GB file over gigabit
**Note**: This is normal for mapped node architecture - file must copy before transcoding starts

## Related Documentation
- Server inventory: `networking/server-inventory.md`
- Tdarr technology context: `tdarr/CONTEXT.md`
- Tdarr troubleshooting: `tdarr/troubleshooting.md`
