Difference between revisions of "Jetson"
m (→Ecosystem Products & Cameras) |
m (→Ecosystem Products & Cameras) |
||
Line 114: | Line 114: | ||
== Ecosystem Products & Cameras == | == Ecosystem Products & Cameras == | ||
− | The '''[https://developer.nvidia.com/embedded/community/ecosystem 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 [ https://developer.nvidia.com/embedded/jetson-partner-supported-cameras Supported Cameras] and [https://developer.nvidia.com/embedded/jetson-partner-products Production Systems]. | + | The '''[https://developer.nvidia.com/embedded/community/ecosystem 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 [https://developer.nvidia.com/embedded/jetson-partner-supported-cameras Supported Cameras] and [https://developer.nvidia.com/embedded/jetson-partner-products Production Systems]. |
Also, each Jetson wiki page includes a list of ecosystem products that are compatible with it: | Also, each Jetson wiki page includes a list of ecosystem products that are compatible with it: |
Revision as of 18:20, 14 May 2020
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:
- Jetson Site - developer.nvidia.com/embedded
- Jetson Zoo - eLinux.org/Jetson_Zoo
- JetPack Downloads - developer.nvidia.com/jetpack
- Community Forums - forums.developer.nvidia.com
- Partner Products - Supported Cameras | Production Systems
Contents
NVIDIA Jetson Modules
Features | Jetson Nano | Jetson TX1 | Jetson TX2 series | Jetson Xavier NX | Jetson AGX Xavier series |
---|---|---|---|---|---|
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 JetPack supports all of the Jetson's and includes the OS, BSP, drivers, tools, and SDKs like CUDA.
JetPack Components
- Linux4Tegra (L4T)
- Ubuntu 18.04 aarch64
- CUDA Toolkit
- cuDNN
- TensorRT
- VisionWorks
- DeepStream
- OpenCV
- OpenGL
- Vulkan
- V4L2 extensions
- GStreamer extensions
- L4T Multimedia API
- NVIDIA Nsight Systems
- NVIDIA Nsight Graphics
- NVIDIA Nsight Compute
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.
Also, each Jetson wiki page includes a list of ecosystem products that are compatible with it: