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Platform Compatibility Matrix

This matrix shows which plugins are available on different platforms and hardware configurations.

Platform Support Legend

  • ✅ Fully Supported - Available and tested
  • ⚠️ Limited Support - Available with restrictions
  • ❌ Not Available - Not supported on this platform
  • 🧪 Experimental - Beta/testing phase

Core Plugins

Plugin Windows x64 Linux x64 Linux ARM64 NVIDIA Jetson Ambarella Notes
Input/GStreamerReader ✅ ✅ ✅ ✅ ✅ Universal video input
Input/FFmpegReader ✅ ✅ ✅ ✅ ❌ File/stream input
Input/ImageReader ✅ ✅ ✅ ✅ ✅ Static image input
Output/WriteData ✅ ✅ ✅ ✅ ✅ File system output
Output/MQTT ✅ ✅ ✅ ✅ ✅ MQTT messaging
Output/REST ✅ ✅ ✅ ✅ ⚠️ UDP data transmission

Inference Engines

Engine Windows x64 Linux x64 Linux ARM64 NVIDIA Jetson Requirements
TensorRT ✅ ✅ ❌ ✅ NVIDIA GPU, CUDA 11.8+
OpenVINO ✅ ✅ ❌ ❌ Intel CPU/GPU/VPU
ONNX Runtime ✅ ✅ ✅ ✅ CPU inference
Hailo ✅ ✅ ✅ ❌ Hailo AI processor
RKNN ❌ ❌ ✅ ❌ Rockchip NPU
Qualcomm SNPE ❌ ❌ ✅ ❌ Qualcomm DSP/GPU
Blaize ❌ ✅ ✅ ❌ Blaize GSP

Platform-Specific Plugins

Windows Only

Plugin Description Requirements
Input/Screencap Desktop screen capture Windows 10+

NVIDIA Jetson Only

Plugin Description Jetson Models
Platform/JetsonUtils Hardware acceleration utilities All Jetson devices
Input/JetsonVideoReader Hardware video decoding Jetson with NVDEC

Ambarella Only

Plugin Description Ambarella SoCs
Platform/Ambarella Ambarella SoC integration CV2x, CV3x series

Hardware Decoder Support

Decoder Windows Linux Jetson Notes
Software ✅ ✅ ✅ CPU-based, always available
NVIDIA NVDEC ✅ ✅ ✅ GeForce GTX 900+ series
Intel Quick Sync ✅ ✅ ❌ Intel iGPU required
Intel VPL/MFX ✅ ✅ ❌ Intel Arc/Xe GPUs

GPU Compute Requirements

NVIDIA GPU Support

GPU Generation Compute Capability TensorRT NVDEC Notes
RTX 40 Series 8.9 ✅ ✅ Latest features
RTX 30 Series 8.6 ✅ ✅ Full support
RTX 20 Series 7.5 ✅ ✅ Full support
GTX 16 Series 7.5 ✅ ✅ No RT cores
GTX 10 Series 6.1 ✅ ⚠️ Limited NVDEC
GTX 900 Series 5.2 ✅ ❌ Minimum for TensorRT

Jetson Support Matrix

Jetson Model Jetpack TensorRT DLA Max Power
Orin AGX 5.1+ 8.5+ 2x 60W
Orin NX 5.1+ 8.5+ 1x 25W
Orin Nano 5.1+ 8.5+ 1x 15W
Xavier NX 4.6+ 8.0+ 2x 20W
Xavier AGX 4.6+ 8.0+ 2x 30W
Nano 4.6+ 7.1+ ❌ 10W

Memory Requirements

Plugin Category Minimum RAM Recommended RAM GPU Memory Notes
Input Only 2GB 4GB N/A Basic video processing
Basic Inference 4GB 8GB 2GB Single model
Multi-Model 8GB 16GB 4GB+ Multiple AI models
High Throughput 16GB 32GB 8GB+ Multi-stream processing

Network Protocols

Protocol Plugin Platform Support Use Case
RTSP GStreamerReader All platforms IP cameras
RTMP GStreamerReader All platforms Live streaming
HTTP/HTTPS FFmpegReader All platforms Web streams
UDP GStreamerReader All platforms Multicast streams
WebRTC 🧪 GStreamerReader Limited Web browsers

Getting Platform Information

Check Your Platform

Use these commands to determine your platform capabilities:

Windows

# GPU information
nvidia-smi

# System information
systeminfo

Linux

# GPU information
nvidia-smi

# CPU information
lscpu

# Platform detection
uname -m

Jetson

# Jetson model information
cat /proc/device-tree/model

# JetPack version
apt show nvidia-jetpack

Planning Your Deployment

Choose Plugins Based On:

  1. Hardware Available

    • GPU type and memory
    • CPU architecture
    • Available accelerators

  2. Performance Requirements

    • Number of streams
    • Required frame rate
    • Latency constraints

  3. Platform Constraints

    • Power consumption
    • Network connectivity
    • Storage capacity

Need Help?

If you're unsure about plugin compatibility:

  1. Check the specific plugin documentation
  2. Review hardware requirements
  3. Test in a development environment
  4. Contact support for enterprise deployments

See Also