
NVIDIA JetPack SDKNVIDIA
NVIDIA JetPack SDK powering the Jetson modules is the most comprehensive solution for building end-to-end accelerated AI applications, significantly reducing time to market.
Vendor
NVIDIA
Company Website
Product details
NVIDIA JetPack SDK powers the Jetson modules, offering the most comprehensive solution for building end-to-end accelerated AI applications. It significantly reduces time to market by providing a complete set of tools and libraries for AI development. JetPack includes Jetson Linux, Jetson AI Stack, and Jetson Platform Services, each designed to enhance the development and deployment of AI applications.
Features
- Jetson Linux: A Board Support Package (BSP) with bootloader, Linux kernel, Ubuntu desktop environment, NVIDIA drivers, toolchain, and more. It includes security and Over-The-Air (OTA) features.
- Jetson AI Stack: CUDA Accelerated AI stack with libraries for GPU computing, multimedia, graphics, and computer vision. Supports frameworks like Metropolis, Isaac, and Holoscan for building Vision AI, robotic applications, and HPC applications.
- Jetson Platform Services: Pre-built and cloud-native software services and reference workflows to accelerate AI applications. Includes AI Perception Service, AI Inference Service, AI Analytics, Sensor Management and Storage, Redis Message Bus API, and IoT Gateway.
- JetPack 6: The biggest upgrade ever, offering flexibility to run any Linux Kernel and wider options of Linux-based distros from Jetson ecosystem partners. Includes novel features like Super Modes for Jetson Orin Nano and Jetson Orin NX production modules, delivering up to 2x higher generative AI inference performance.
- TensorRT: High-performance deep learning inference runtime for image classification, segmentation, and object detection neural networks.
- DLA: Fixed-function accelerator engine for deep learning operations, supporting various layers like convolution, deconvolution, fully connected, activation, pooling, batch normalization, and more.
- cuDNN: High-performance primitives for deep learning frameworks, including forward and backward convolution, pooling, normalization, and activation layers.
- CUDA: Comprehensive development environment for C and C++ developers building GPU-accelerated applications.
- Multimedia API: Low-level APIs for flexible application development, including camera application API, sensor driver API, and video decode/encode functionalities.
- Computer Vision: VPI (Vision Programming Interface) library providing algorithms implemented on multiple hardware accelerators found on Jetson.
- Graphics Libraries: Includes Vulkan, OpenGL, OpenGLES, GLX, and EGL for rendering 2D and 3D graphics.
- Nsight Developer Tools: Comprehensive development environment for high-performance GPU-accelerated applications, including debugging and profiling tools.
Benefits
- Accelerated Development: Quickly build and deploy AI applications with high-performance, real-time processing capabilities.
- Enhanced Efficiency: Improve operational efficiencies with optimized algorithms and reliable performance.
- Scalability: Suitable for large-scale deployments, ensuring reliable performance in enterprise environments.
- Flexibility: Supports a wide range of sensors and deployment scenarios, from local servers to cloud environments.
- Comprehensive Support: Benefit from extensive tools and frameworks for streamlined development and integration.
- Security: Includes various security features like Hardware Root of Trust, Secure Boot, Hardware Cryptographic Acceleration, Trusted Execution Environment, Disk and Memory Encryption, and Physical Attack Protection.