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=Jetpack Components=
==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:
Table 1 provides the versions of the key packages included in Jetpack 5.0, and the version previously available in Jetpack 4.6.1:
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== Linux for Tegra==
=== 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 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:
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=== Multimedia API ===
==== Multimedia API ====
Included as part of L4T, the Multimedia API allows developers to develop camera-based multimedia applications. It has two main components:
Included as part of L4T, the Multimedia API allows developers to develop camera-based multimedia applications. It has two main components:
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== CUDA ==
=== 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:
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:
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==CUDA Deep Neural Network (cuDNN)==
===CUDA Deep Neural Network (cuDNN)===
cuDNN is an NVIDIA library used by deep learning frameworks to accelerate common components, such as pooling, normalization, and backward convolution. Jetpack 5.0 comes with cuDNN 8.3.2, including bugfixes and new enhancements.
cuDNN is an NVIDIA library used by deep learning frameworks to accelerate common components, such as pooling, normalization, and backward convolution. Jetpack 5.0 comes with cuDNN 8.3.2, including bugfixes and new enhancements.
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== TensorRT ==
=== 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. This version of TensorRT has support for CUDA 11.x.
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. This version of TensorRT has support for CUDA 11.x.
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== OpenCV ==
=== OpenCV ===


OpenCV is an Open Source library for computer vision tasks. Jetpack 5.0 supports OpenCV version 4.5.4.
OpenCV is an Open Source library for computer vision tasks. Jetpack 5.0 supports OpenCV version 4.5.4.
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== Vision Programming Intervace (VPI) ==
=== Vision Programming Intervace (VPI) ===
VPI is a library provided by NVIDIA to easily take advantage of the power of the Programmable Vision Accelerator and the GPU. It brings Computer Vision and Image Processing algorithms implemented to run the PVA, OFA (Optical Flow Accelerator), GPU, and CPU. Jetpack 5.0 comes with VPI 2.0 version. To learn more about how you can use VPI along with GStreamer, visit our [[NVIDIA_Jetson_Orin/RidgeRun_Products/GstVPI|GstVPI]] section.
VPI is a library provided by NVIDIA to easily take advantage of the power of the Programmable Vision Accelerator and the GPU. It brings Computer Vision and Image Processing algorithms implemented to run the PVA, OFA (Optical Flow Accelerator), GPU, and CPU. Jetpack 5.0 comes with VPI 2.0 version. To learn more about how you can use VPI along with GStreamer, visit our [[NVIDIA_Jetson_Orin/RidgeRun_Products/GstVPI|GstVPI]] section.
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