NVIDIA Jetson Orin - JetPack 5.0.2 - Getting Started - Components
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This section provides an overview of some of the main software components in Jetpack 5.0 for the Orin AGX.
Jetpack Components
Table 1 provides the versions of the key packages included in Jetpack 5.0, and the version previously available in Jetpack 4.6.1:
| Package | Jetpack 5.0 Version | Jetpack 4.6.1 Version |
|---|---|---|
| Linux for Tegra | 34.1 | 32.7.1 |
| CUDA | 11.4 | 10.2 |
| cuDNN | 8.3.2 | 8.2.1 |
| TensorRT | 8.4.0 Early Access | 8.2.1 |
| OpenCV | 4.5.4 (Developer Preview) | 4.1.1 |
| Vision Programing Interface (VPI) | 2.0 | 1.2 |
Linux for Tegra
Linux for Tegra (L4T) is the component that provides the OS components (kernel, file system, drivers, firmware) and the bootloader. Jetpack 5.0 comes with L4T version 34.1, featuring:
- Linux Kernel version 5.10: the previous Jetpack version (4.6) came with Linux Kernel version 4.9.
- Ubuntu 20.04-based root file system: the previous Jetpack version (4.6) came with Ubuntu 18.04-based root file system.
- UEFI-based bootloader: CBoot was used prior to L4T 34.1.
- Support for NVSCI: Provides utilities for streaming data packets between different applications and for inter-process communication (IPC).
- Toolchain: aarch64 gcc-9.3-glibc-2.31 for 64-bit Kernel and user space.
- Jetson Power GUI: a new tool for monitoring the power and thermal status of the Jetson platform.
CUDA
Jetpack 5.0 includes CUDA 11.4 support. CUDA is a parallel computing API for NVIDIA GPUs. NVIDIA's CUDA Toolkit provides the development environment for creating GPU-accelerated applications in C/C++. Starting with CUDA 11, the various components in the toolkit are versioned independently. Table 2 provides the CUDA 11.4 components version information:
| Component Name | Version Information | Supported Architectures |
|---|---|---|
| CUDA Runtime (cudart) | 11.4.148 | x86_64, POWER, Arm64 |
| cuobjdump | 11.4.120 | x86_64, POWER, Arm64 |
| CUPTI | 11.4.120 | x86_64, POWER, Arm64 |
| CUDA cuxxfilt (demangler) | 11.4.120 | x86_64, POWER, Arm64 |
| CUDA Demo Suite | 11.4.100 | x86_64 |
| CUDA GDB | 11.4.120 | x86_64, POWER, Arm64 |
| CUDA Memcheck | 11.4.120 | x86_64, POWER |
| CUDA NVCC | 11.4.152 | x86_64, POWER, Arm64 |
| CUDA nvdisasm | 11.4.152 | x86_64, POWER, Arm64 |
| CUDA NVML Headers | 11.4.120 | x86_64, POWER, Arm64 |
| CUDA nvprof | 11.4.120 | x86_64, POWER, Arm64 |
| CUDA nvprune | 11.4.120 | x86_64, POWER, Arm64 |
| CUDA NVRTC | 11.4.152 | x86_64, POWER, Arm64 |
| CUDA NVTX | 11.4.120 | x86_64, POWER, Arm64 |
| CUDA NVVP | 11.4.193 | x86_64, POWER |
| CUDA Samples | 11.4.120 | x86_64, POWER, Arm64 |
| CUDA Compute Sanitizer API | 11.4.120 | x86_64, POWER, Arm64 |
| CUDA Thrust | 11.4.122 | x86_64, POWER, Arm64 |
| CUDA cuBLAS | 11.6.5.2 | x86_64, POWER, Arm64 |
| CUDA cuFFT | 10.5.2.100 | x86_64, POWER, Arm64 |
| CUDA cuFile | 1.0.2.10 | x86_64 |
| CUDA cuRAND | 10.2.5.120 | x86_64, POWER, Arm64 |
| CUDA cuSOLVER | 11.2.0.120 | x86_64, POWER, Arm64 |
| CUDA cuSPARSE | 11.6.0.120 | x86_64, POWER, Arm64 |
| CUDA NPP | 11.4.0.110 | x86_64, POWER, Arm64 |
| CUDA nvJPEG | 11.5.2.120 | x86_64, POWER, Arm64 |
| Nsight Compute | 2021.2.2.1 | x86_64, POWER, Arm64 (CLI only) |
| NVTX | 1.21018621 | x86_64, POWER, Arm64 |
| Nsight Systems | 2021.3.2.4 | x86_64, POWER, Arm64 (CLI only) |
| Nsight Visual Studio Edition (VSE) | 2021.2.1.21205 | x86_64 (Windows) |
| nvidia_fs1 | 2.7.53 | x86_64 |
| Visual Studio Integration | 11.4.120 | x86_64 (Windows) |
| NVIDIA Linux Driver | 470.82.01 | x86_64, POWER, Arm64 |
| NVIDIA Windows Driver | 472.50 | x86_64 (Windows) |
TensorRT
TensorRT is a framework created and published by NVIDIA for deep learning inference runtime. Jetpack 5.0 Developer Preview includes TensorRT 8.4.0 Early Access (EA). This EA is for early testing and feedback. For production, the documentation recommends continuing to use TensorRT 8.2.3 or later TensorRT 8.2.x patch.
TensorRT 8.4.0 EA has been tested with the following:
- cuDNN 8.3.2
- TensorFlow 1.15.5
- PyTorch 1.9.0
Multimedia API
The Jetson Linux API Reference describes several APIs or API extensions that are implemented in NVIDIA® Jetson™ Linux Driver Package (L4T). You can use these APIs to customize aspects of your Jetson device's behavior.
Camera application API: libargus offers a low-level frame-synchronous API for camera applications, with per frame camera parameter control, multiple (including synchronized) camera support, and EGL stream outputs. RAW output CSI cameras needing ISP can be used with either libargus or GStreamer plugin. In either case, the V4L2 media-controller sensor driver API is used.
The Multimedia APIs are separate from the GStreamer framework, which provides high-level APIs. That framework is included in current and previous releases.
JetPack 5.0 Developer Preview Multimedia highlights include:
- New NVUtils Multimedia buffer management and buffer transformation API.