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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 of modules 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 Series

Starting at £369.00

NVIDIA Pascal^™ architecture with 256 NVIDIA CUDA cores

Jetson Xavier NX

Starting at 399 USD*

NVIDIA Volta^™ architecture with 384 NVIDIA CUDA cores and 48 Tensor cores

Jetson AGX Xavier Series

Starting at £649.00

NVIDIA Volta^™ architecture with up to 512 NVIDIA CUDA cores and up to 64 Tensor cores

NVIDIA JetPack SDK - Unified software release across all Jetson products
Prices above are for 1K units

* Local pricing will vary due to currency and VAT.

See which Jetson is right for your application.

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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

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.

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Jetson TX2 Series

The Jetson TX2 series embedded module for edge AI applications now comes in three versions: Jetson TX2, 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.

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Jetson Xavier NX

Jetson Xavier NX brings up to 21 TOPs of accelerated AI computing to the edge in a small form factor module. It can run multiple modern neural networks in parallel and process data from multiple high-resolution sensors—a requirement for full AI systems. Jetson Xavier NX is production-ready and supports all popular AI frameworks.

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Jetson AGX Xavier Series

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

Jetson AGX Xavier 8GB is a lower-power lower-price Jetson AGX Xavier offering full hardware and software compatibility with the existing Jetson AGX Xavier. It consumes a maximum of 20W for the full module while delivering up to 20 TOPS of AI performance.

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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 SDK enables developers to quickly build and deploy efficient video analytics pipelines on Jetson.

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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.

DOCUMENTATION

TOOLS

LATEST NEWS

FORUMS & COMMUNITY

Compare NVIDIA Jetson Module Specifications

	Jetson Nano	Jetson TX2 Series			Jetson Xavier NX	Jetson AGX Xavier Series
	Jetson Nano	TX2 4GB	TX2	TX2i	Jetson Xavier NX	AGX Xavier 8GB	AGX Xavier
AI Performance	472 GFLOPS	1.33 TFLOPS		1.26 TFLOPS	21 TOPS	20 TOPS	32 TOPS
GPU	128-core NVIDIA Maxwell^™ GPU	256-core NVIDIA Pascal^™ GPU			384-core NVIDIA Volta^™ GPU with 48 Tensor Cores	384-core NVIDIA Volta^™ GPU with 48 Tensor Cores	512-core NVIDIA Volta^™ GPU with 64 Tensor Cores
CPU	Quad-core ARM^® Cortex^®-A57 MPCore processor	Dual-core Denver 1.5 64-bit CPU and quad-core Arm^® Cortex^®-A57 MPCore processor			6-core NVIDIA Carmel ARM^®v8.2 64-bit CPU 6MB L2 + 4MB L3	6-core NVIDIA Carmel Arm^®v8.2 64-bit CPU 6MB L2 + 4MB L3	8-core NVIDIA Carmel Arm^®v8.2 64-bit CPU 8MB L2 + 4MB L3
Memory	4 GB 64-bit LPDDR4 25.6GB/s	4 GB 128-bit LPDDR4 51.2GB/s	8 GB 128-bit LPDDR4 59.7GB/s	8 GB 128-bit LPDDR4 (ECC Support) 51.2GB/s	8 GB 128-bit LPDDR4x 51.2GB/s	8 GB 256-bit LPDDR4x 85.3GB/s	16 GB 256-bit LPDDR4x 136.5GB/s
Storage	16 GB eMMC 5.1 *	16 GB eMMC 5.1	32 GB eMMC 5.1	32 GB eMMC 5.1	16 GB eMMC 5.1	32GB eMMC 5.1
Power	5W \| 10W	7.5W \| 15W		10W \| 20W	10W \| 15W	10W \| 20W	10W \| 15W \| 30W
PCIe	1 x4 (PCIe Gen2)	1 x1 + 1 x4 OR 1 x1 + 1 x1 + 1 x2 (PCIe Gen2)			1 x1 + 1 x4 (PCIe Gen3, Root Port &Endpoint)	1 x8 + 1 x4 + 1 x2 + 2 x1 (PCIe Gen3)	1 x8 + 1 x4 + 1 x2 + 2 x1 (PCIe Gen4, Root Port &Endpoint)
CSI Camera	Up to 4 cameras 12 lanes MIPI CSI-2 D-PHY 1.1 (up to 18 Gbps)	Up to 6 cameras (12 via virtual channels) 12 lanes MIPI CSI-2 D-PHY 1.2 (up to 30 Gbps) C-PHY 1.1 (up to 41Gbps)			Up to 6 cameras (24 via virtual channels) 12 lanes MIPI CSI-2 D-PHY 1.2 (up to 30 Gbps)	Up to 6 cameras (36 via virtual channels) 16 lanes MIPI CSI-2 \| 8 lanes SLVS-EC D-PHY 1.2 (up to 40 Gbps) C-PHY 1.1 (up to 59 Gbps)
Video Encode	250MP/sec 1x 4K @ 30 (HEVC) 2x 1080p @ 60 (HEVC)	500MP/sec 1x 4K @ 60 (HEVC) 3x 4K @ 30 (HEVC) 4x 1080p @ 60 (HEVC)			2x464MP/sec 2x 4K @ 30 (HEVC) 6x 1080p @ 60 (HEVC)	2x464MP/sec 2x 4K @ 30 (HEVC) 6x 1080p @ 60 (HEVC) 14x 1080p @ 30 (HEVC)	2x1000MP/sec 4x 4K @ 60 (HEVC) 16x 1080p @ 60 (HEVC) 32x 1080p @ 30 (HEVC)
Video Decode	500MP/sec 1x 4K @ 60 (HEVC) 4x 1080p @ 60 (HEVC)	1000MP/sec 2x 4K @ 60 (HEVC) 7x 1080p @ 60 (HEVC) 20x 1080p @ 30 (HEVC)			2x690MP/sec 2x 4K @ 60 (HEVC) 12x 1080p @ 60 (HEVC) 32x 1080p @ 30 (HEVC)	2x690MP/sec 2x 4K @ 60 (HEVC) 12x 1080p @ 60 (HEVC) 32x 1080p @ 30 (HEVC)	2x1500MP/sec 2x 8K @ 30 (HEVC) 6x 4K @ 60 (HEVC) 26x 1080p @ 60 (HEVC) 72x 1080p @ 30 (HEVC)
Display	2 multi-mode DP 1.2/eDP 1.4/HDMI 2.0 1 x2 DSI (1.5Gbps/lane)	2 multi-mode DP 1.2/eDP 1.4/HDMI 2.0 2 x4 DSI (1.5Gbps/lane)			2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 No DSI support	3 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 No DSI support
DL Accelerator	-	-			2x NVDLA Engines	2x NVDLA Engines
Vision Accelerator	-	-			-	7-Way VLIW Vision Processor
Networking	10/100/1000 BASE-T Ethernet	10/100/1000 BASE-T Ethernet	10/100/1000 BASE-T Ethernet, WLAN	10/100/1000 BASE-T Ethernet	10/100/1000 BASE-T Ethernet	10/100/1000 BASE-T Ethernet
Mechanical	69.6 mm x 45 mm 260-pin SO-DIMM connector	87 mm x 50 mm 400-pin connector			69.6 mm x 45 mm 260-pin SO-DIMM connector	100 mm x87 mm 699-pin connector