NVIDIA Jetson systems deliver performance and energy efficiency which allows software for autonomous machines to run faster and use less power. Each solution is a system-on-module with a processor, graphics card, PMIC power management, DRAM and flash memory, saving you development time and money. Jetson is a scalable solution. Just choose the system-on-module that is optimal for your application and create a custom one based on it. system for specific tasks.

Module The Jetson Nano is an AI-powered computer at a reduced price that delivers performance and energy efficiency, necessary for modern tasks of artificial intelligence, parallel operation of several neural networks and simultaneous processing of data from several high resolution sensors. Therefore, it is a great entry point for introducing sophisticated artificial intelligence into embedded systems.

The Jetson TX2 encapsulates unique speed and energy efficiency in embedded computing for artificial intelligence. This supercomputer-on-module provides AI computing at the edge with NVIDIA Pascal GPU, up to 8GB memory, 59.7Gbps bandwidth and a whole line of interfaces that allow the module to be used for a variety of devices and form factors.

Incredible computing power, precision and energy efficiency are now available, all in a card-sized module. Small size (50mm x 87mm) allows for deep applications training in drones and other compact devices.

Jetson's line of plugins includes:

1. Jetson TX2 4GB, which enables migration for Jetson TX1 users
2. Jetson TX2 supercomputer-on-module with 7.5W power consumption, bringing AI capabilities to end devices
3. Jetson TX2i with rugged design ideal for high performance computing devices, operating temperature from -40C - 85C

The Jetson Xavier NX is the world's smallest artificial intelligence supercomputer for embedded and cloud-enabled peripherals.

The Jetson Xavier NX compact system-on-module (SOM) form factor delivers supercomputing performance for peripherals. With a power of 21 trillion operations per second in accelerated computing tasks, the supercomputer allows multiple neural networks to run in parallel and processing data from multiple high-resolution sensors, which is essential for AI systems.

The Jetson AGX Xavier is the first computer designed specifically for autonomous machines. It is equipped with six engines for processing sensor data and software for stand-alone devices, and also provides performance and energy efficiency for fully autonomous devices.

The Jetson AGX Xavier 8GB is a more energy efficient and lower cost variant of the Jetson AGX Xavier that provides full firmware compatibility with the Jetson AGX Xavier. The module consumes a maximum of 20 watts, providing up to 20 trillion operations per second in AI tasks.