Embedded Systems for Next-Generation Autonomous Machines

NVIDIA Jetson: The AI platform for autonomous everything

Embedded Systems for Next-Generation Autonomous Machines

NVIDIA Jetson: The AI platform for autonomous everything

NVIDIA® Jetson systems provide the performance and power efficiency to run autonomous machines software, faster and with less power. Each is a complete System-on-Module (SOM), with CPU, GPU, PMIC, DRAM, and flash storage—saving development time and money. Jetson is also extensible. Just select the SOM that’s right for the application, and build the custom system around it to meet its specific needs.

Scalable, Flexible Hardware Solutions

Whether for enterprise, small to medium business, or research, the Jetson family has a solution to meet specific performance and budget needs. They all share the same architecture and SDKs, allowing for one code base and seamless deployment across the entire product portfolio.

Jetson Nano
 

£95.00

NVIDIA Maxwell architecture with 128 NVIDIA CUDA® cores

Jetson TX2
 

£300 - £544

NVIDIA Pascal architecture with 256 NVIDIA CUDA cores

Jetson AGX Xavier

£1,199.00

NVIDIA Volta architecture  with 512 NVIDIA CUDA cores and 64 Tensor cores

NVIDIA JetPack, CUDA, cuDNN, DeepStream SDK, TensorRT

See which Jetson is right for your application.

JETSON PORTFOLIO

Jetson modules power a range of applications that require various performance levels and prices—from AI-powered Network Video Recorders (NVRs) to automated optical inspection (AOI) in high-precision manufacturing to autonomous mobile robots (AMRs). Jetson modules pack unbeatable performance and energy efficiency in a tiny form factor, effectively bringing the power of modern AI, deep learning, and inference to embedded systems at the edge.

Jetson Nano

Jetson Nano

The Jetson Nano module is a small AI computer that has the performance and power efficiency needed to run modern AI workloads, multiple neural networks in parallel and process data from several high-resolution sensors simultaneously. This makes it the perfect entry-level option to add advanced AI to embedded products.

Jetson TX2

Jetson TX2

The Jetson TX2 embedded module for edge AI applications now comes in three versions: Jetson TX2 (8GB), Jetson TX2i, and the newly available, lower-cost Jetson TX2 4GB. Jetson TX1-based products can migrate to the more powerful Jetson TX2 4GB at the same price.

Jetson AGX Xavier

Jetson AGX Xavier

Jetson AGX Xavier is the first computer designed specifically for autonomous machines. It has six computers onboard for processing sensors data and running autonomous machines software, and offers the performance and power efficiency for fully autonomous machines.

The Jetson TX1 module is the first generation of Jetson module designed for machine learning and AI at the edge and is used in many systems shipping today. However, new designs should take advantage of the Jetson TX2 4GB, a pin- and cost-compatible module with 2X the performance. Learn more about Jetson TX1 on the NVIDIA Developer Zone.

A SINGLE, UNIFIED SOFTWARE STACK

All three generations of Jetson solutions are supported by the same software stack, enabling companies to develop once and deploy everywhere. The Jetson platform is supported by the Jetpack SDK, which includes the board support package (BSP), Linux operating system, NVIDIA CUDA®, and compatibility with third-party platforms. DeepStream enables developers to quickly build and deploy efficient video analytics pipelines on Jetson.

A SINGLE, UNIFIED SOFTWARE STACK

JetPack comes with libraries for deep learning, computer vision, accelerated computing, and multimedia and supports drivers for a wide range of sensors. Plus, NVIDIA develops GPU-accelerated IP for critical autonomous machine tasks like depth estimation, path planning, and object detection.

As part of Jetpack, NVIDIA provides has a rich set of developer tools that accelerate development and provide detailed information about application and system power and performance, helping developers quickly optimize and tune their code.

Find everything you need to get started and download the SDK at the NVIDIA Developer Site.