Jetson

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The Jetson line of embedded Linux AI and computer vision compute modules and devkits from NVIDIA:

  • Jetson TK1: single-board 5" x 5" computer featuring Tegra K1 SOC (quad-core 32-bit Cortex-A15 + 192-core Kepler GPU), 2GB DDR3, and 8GB eMMC.
  • Jetson TX1: carrier-board + compute module featuring Tegra X1 SOC (quad-core 64-bit Cortex-A57 + 256-core Maxwell GPU), 4GB 64-bit LPDDR4, and 16GB eMMC.
  • Jetson TX2: carrier-board + compute module featuring Tegra X2 SOC (quad-core 64-bit Cortex-A57 + dual-core NVIDIA Denver2 CPU + 256-core Pascal GPU), 8GB 128-bit LPPDR4, 32GB eMMC.
  • Jetson Nano: carrier-board + compute module featuring Tegra X1 SOC (quad-core 64-bit Cortex-A57 + 128-core Maxwell GPU), 4GB 64-bit LPDDR4, 4K video encoder/decoder.
  • Jetson Xavier NX: carrier-board + compute module featuring Xavier SOC (6-core 64-bit ARMv8.2 + 384-core Volta GPU with Tensor Cores + dual DLAs), 8GB 128-bit LPDDR4x, 16GB eMMC.
  • Jetson AGX Xavier: carrier-board + compute module featuring Xavier SOC (8-core 64-bit ARMv8.2 + 512-core Volta GPU with Tensor Cores + dual DLAs), 32GB 256-bit LPDDR4x, 32GB eMMC.


Here are some quick links and references to get started:


NVIDIA Jetson Modules

Features Jetson Nano Jetson TX1 Jetson TX2 series Jetson Xavier NX Jetson AGX Xavier series
Jetson-Nano-Compute-Module-400px.png
NVIDIA Jetson TX1 module.jpg
NVIDIA JTX2 Module 400px.png
JetsonXavierNX-Module TopDown 400px.png
Xavier-module-topdown-alpha-300px.png
CPU ARM Cortex-A57 (quad-core) @ 1.43GHz ARM Cortex-A57 (quad-core) @ 1.73GHz ARM Cortex-A57 (quad-core) @ 2GHz +

NVIDIA Denver2 (dual-core) @ 2GHz

NVIDIA Carmel ARMv8.2 (6-core) @ 1.4GHz

(6MB L2 + 4MB L3)

NVIDIA Carmel ARMv8.2 (8-core) @ 2.26GHz

(4x2MB L2 + 4MB L3)

GPU 128-core NVIDIA Maxwell @ 921MHz 256-core NVIDIA Maxwell @ 998MHz 256-core NVIDIA Pascal @ 1300MHz 384-core Volta @ 1100MHz + 48 Tensor Cores 512-core Volta @ 1377 MHz + 64 Tensor Cores
DL NVIDIA GPU support (CUDA, cuDNN, TensorRT) dual NVIDIA Deep Learning Accelerators
Memory 4GB 64-bit LPDDR4 @ 1600MHz | 25.6 GB/s 8GB 128-bit LPDDR4 @ 1866Mhz | 58.3 GB/s 8GB 128-bit LPDDR4x @ 1600MHz | 51.2GB/s 32GB 256-bit LPDDR4x @ 2133MHz | 137GB/s
Storage MicroSD card 16GB eMMC 5.1 32GB eMMC 5.1 16GB eMMC 5.1 32GB eMMC 5.1
Vision NVIDIA GPU support (CUDA, VisionWorks, OpenCV) 7-way VLIW Vision Accelerator
Encoder 4Kp30, (2x) 1080p60, (4x) 1080p30 4Kp60, (3x) 4Kp30, (4x) 1080p60, (8x) 1080p30 (2x) 4Kp30, (6x) 1080p60, (12x) 1080p30 (4x) 4Kp60, (8x) 4Kp30, (32x) 1080p30
Decoder 4Kp60, (2x) 4Kp30, (4x) 1080p60, (8x) 1080p30 (2x) 4Kp60, (4x) 4Kp30, (7x) 1080p60 (2x) 4Kp60, (4x) 4Kp30, (12x) 1080p60 (2x) 8Kp30, (6x) 4Kp60, (12x) 4Kp30
Camera 12 lanes MIPI CSI-2 | 1.5 Gbps per lane 12 lanes MIPI CSI-2 | 2.5 Gbps per lane 14 lanes MIPI CSI-2 | 2.5 Gbps per lane 16 lanes MIPI CSI-2 | 6.8125Gbps per lane
Display 2x HDMI 2.0 / DP 1.2 / eDP 1.2 | 2x MIPI DSI (2x) DP 1.4 / eDP 1.4 / HDMI 2.0 @ 4Kp60 (3x) eDP 1.4 / DP 1.2 / HDMI 2.0 @ 4Kp60
Wireless M.2 Key-E site on carrier 802.11a/b/g/n/ac 2×2 867Mbps | Bluetooth 4.0 802.11a/b/g/n/ac 2×2 867Mbps | Bluetooth 4.1 M.2 Key-E site on carrier
Ethernet 10/100/1000 BASE-T Ethernet
USB (4x) USB 3.0 + Micro-USB 2.0 USB 3.0 + USB 2.0 USB 3.1 + (3x) USB 2.0 (3x) USB 3.1 + (4x) USB 2.0
PCIe PCIe Gen 2 x1/x2/x4 PCIe Gen 2 x5 | 1×4 + 1x1 PCIe Gen 2 x5 | 1×4 + 1×1 or 2×1 + 1×2 PCIe x5 | 1x4 (Gen 4) + 1x1 (Gen 3) PCIe Gen 4 x16 | 1x8 + 1x4 + 1x2 + 2x1
CAN Not Supported Dual CAN bus controller Single CAN bus controller Dual CAN bus controller
Misc IO UART, SPI, I2C, I2S, GPIOs
Socket 260-pin edge connector, 45x70mm 400-pin board-to-board connector, 50x87mm 260-pin edge connector, 45x70mm 699-pin board-to-board connector, 100x87mm
Thermals -25°C to 80°C
Power 5/10W 10W 7.5W 10/15W 10/15/30W
Perf 472 GFLOPS 1 TFLOPS 1.3 TFLOPS 21 TeraOPS 32 TeraOPS

Software Support

Jetpack block diagram.jpg

NVIDIA JetPack supports all of the Jetson's and includes the OS, BSP, drivers, tools, and SDKs like CUDA.

JetPack Components

See docs.nvidia.com/jetson for online documentation about JetPack.
See developer.nvidia.com/jetpack to download the latest JetPack.

Jetson Zoo

The Jetson Zoo is a repository of open-source frameworks and packages that can be installed on Jetson, in addition pre-trained DNN models. It provides instructions and pre-built binary installers for popular Machine Learning frameworks such as TensorFlow and PyTorch.

Ecosystem Products & Cameras

The Jetson Ecosystem includes a diverse set of companies producing add-ons, accessories, sensors, and software for Jetson such as carrier boards, enclosures, cameras, and custom design services. For more info, see the directory of Supported Cameras and Production Systems. For those interested in real-time Linux support, see Concurrent RedHawk.

Also, each Jetson wiki page includes a list of ecosystem products that are compatible with it: