Difference between revisions of "Jetson"

From eLinux.org
Jump to: navigation, search
(Add link to new L4T wiki page. Update other misc items.)
m
 
Line 3: Line 3:
 
* [[Jetson AGX Xavier]] Developer Kit and series of production modules
 
* [[Jetson AGX Xavier]] Developer Kit and series of production modules
 
* [[Jetson Xavier NX]] Developer Kit and production module
 
* [[Jetson Xavier NX]] Developer Kit and production module
 +
* [[Jetson Nano]] Developer Kit and production module
 
* [[Jetson TX2]] Developer Kit and series of production modules
 
* [[Jetson TX2]] Developer Kit and series of production modules
* [[Jetson Nano]] Developer Kit and production module
 
 
* [[Jetson TX1]] Developer Kit and production module
 
* [[Jetson TX1]] Developer Kit and production module
 
* [[Jetson TK1]] Developer Kit for the Tegra K1 SOC
 
* [[Jetson TK1]] Developer Kit for the Tegra K1 SOC

Latest revision as of 09:24, 22 June 2020

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

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

NVIDIA Jetson production modules and developer kits are all supported by the same NVIDIA software stack, enabling you to develop once and deploy everywhere. JetPack SDK includes the latest Jetson Linux Driver Package (L4T) with Linux operating system and CUDA-X accelerated libraries and APIs for AI Edge application development. It also includes samples, documentation, and developer tools for both host computer and developer kit, and supports higher level SDKs such as DeepStream for streaming video analytics and Isaac for robotics.

Jetson Software

JetPack Components

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

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: