Nvidia embedded

Nvidia embedded DEFAULT

Jetson Modules

NVIDIA® Jetson™ brings accelerated AI performance to the Edge in a power-efficient and compact form factor. Together with NVIDIA JetPack™ SDK, these Jetson modules open the door for you to develop and deploy innovative products across all industries.


The Jetson family of modules all use the same NVIDIA CUDA-X™ software, and support cloud-native technologies like containerization and orchestration to build, deploy, and manage AI at the edge.

With Jetson, customers can accelerate all modern AI networks, easily roll out new features, and leverage the same software for different products and applications.



Edge AI Momentum


Intelligent machine OEMs and AI application developers create breakthrough products with Jetson in the fields of manufacturing, logistics, retail, service, agriculture, smart city, and healthcare and life sciences.

JETSON SUCCESS STORIES ›



Jetson Support and Ecosystem

Jetson Support Resources

Detailed hardware design collateral, software samples and documentation, and an active Jetson developer community are here to help.

Support Resources >

Jetson Ecosystem Partners

Get to market faster with software, hardware, and sensor products and services available from Jetson ecosystem and distribution partners.

Ecosystem Partners >



Technical Specifications


Jetson Nano

Jetson TX2 SeriesJetson Xavier NX

Jetson AGX Xavier Series

TX2 NXTX2 4GBTX2TX2iJetson AGX XavierJetson AGX Xavier Industrial
AI Performance472 GFLOPs1.33 TFLOPs1.26 TFLOPs21 TOPs32 TOPs30 TOPS
GPU128-core NVIDIA Maxwell™ GPU256-core NVIDIA Pascal™ GPU384-core NVIDIA Volta™ GPU with 48 Tensor Cores512-core NVIDIA Volta™ GPU with
64 Tensor Cores
CPUQuad-Core Arm® Cortex®-A57 MPCore processorDual-Core NVIDIA Denver 2 64-Bit CPU and Quad-Core Arm® Cortex®-A57 MPCore processor6-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
DL Accelerator 2x NVDLA
Vision Accelerator7-Way VLIW Vision Processor 2x 7-Way VLIW Vision Processor
Safety Cluster Engine 2x Arm
Cortex-R5 in lockstep
Memory4 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
59.7GB/s
32 GB 256-bit LPDDR4x
136.5GB/s
32 GB 256-bit LPDDR4x
(ECC support)
136.5GB/s
Storage16 GB eMMC 5.1 *16 GB eMMC 5.132 GB eMMC 5.1 16 GB eMMC 5.1 *32 GB eMMC 5.164 GB eMMC 5.1
CSI Camera Up to 4 cameras 12 lanes MIPI CSI-2 D-PHY 1.1 (up to 18 Gbps) Up to 5 cameras
(12 via virtual channels) 12 lanes MIPI CSI-2 D-PHY 1.1 (up to 30 Gbps)
Up to 6 cameras (12 via virtual channels) 12 lanes MIPI CSI-2 D-PHY 1.2 (up to 30 Gbps) 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 62 Gbps) Up to 6 cameras (36 via virtual channels) 16 lanes MIPI CSI-2 D-PHY 1.2 (up to 40 Gbps) C-PHY 1.1 (up to 62 Gbps)
Video Encode 1x 4K30
2x1080p60
4x1080p30
4x720p60
9x720p30
(H.265 & H.264)
1x 4K60
3x 4K30
4x 1080p60
8x 1080p30
(H.265) 1x 4K60
3x 4K30
7x 1080p60
14x 1080p30
(H.264)
2x 4K60 | 4x 4K30 | 10x 1080p60 |
22x 1080p30 (H.265)
2x 4K60 | 4x 4K30 | 10x 1080p60 |
20x 108p30 (H.264)
4x 4K60
8x 4K30
16x 1080p60
32x 1080p30
(H.265)
4x 4K60
8x 4K30
14x 1080p60
30x 1080p30
(H.264)
2x 4K60
6x 4K30
12x 1080p60
24x 1080p30
(H.265)
2x 4K60
6x 4K30
12x 1080p60
24x 1080p30
(H.264)
Video Decode 1x 4K60
2x 4K30
4x 1080p60
8x 1080p30
9x 720p60
(H.265 & H.264)
2x 4K60
4x 4K30
7x 1080p60
14x 1080p30
(H.265 & H.264)
2x 8K30 | 6x 4K60 | 12x 4K30 | 22x
1080p60 | 44x 1080p30 (H.265)
2x 4K60 | 6x 4K30 | 10x 1080p60 |
22x 1080p30 (H.264)
2x 8K30
6x 4K60
12x 4K30
26x 1080p60
52x 1080p30
(H.265) 4x 4K60
8x 4K30
16x 1080p60
32x 1080p30
(H.264)
2x 8K30
4x 4K60
8x 4K30
18x 1080p60
36x 1080p30
(H.265) 2x 4K60
6x 4K30
12x 1080p60
24x 1080p30
(H.264)
PCIE 1 x4
(PCIe Gen2)
1x1 + 1x2
(PCIe Gen2)
1 x1 + 1 x4 OR 1 x1 + 1 x1 + 1 x2
(PCIe Gen2)
1x1
(PCIe Gen3, Root Port)
+
1x4
(PCIe Gen4, Root Port & Endpoint)
1 x8 + 1 x4 + 1 x2 + 2 x1
(PCIe Gen4, Root Port & Endpoint)
USB 1x USB 3.0 + 3x USB 2.0 1x USB 3 .0 + 3x USB 2.0 up to 3x USB 3.0 + 3x USB 2.0 1x USB 3.1 + 3x USB 2.0 3x USB 3.1 + 4x USB 2.0
Networking 10/100/1000 BASE-T Ethernet 10/100/1000 BASE-T Ethernet, WLAN 10/100/1000 BASE-T Ethernet
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
Power5W | 10W7.5W | 15W10W | 20W10W | 15W | 20W10W | 15W | 30W20W | 40W
Mechanical 69.6 mm x 45 mm 260-pin SO-DIMM connector 87 mm x 50 mm400-pin connectorIntegrated Thermal Transfer Plate 69.6 mm x 45 mm 260-pin SO-DIMM connector 100 mm x87 mm 699-pin connector Integrated Thermal Transfer Plate
TX2 NXTX2 4GBTX2TX2iJetson AGX XavierJetson AGX Xavier Industrial
Jetson Nano Jetson TX2 Series Jetson Xavier NX Jetson AGX Xavier Series

* The Jetson Nano and Jetson Xavier NX modules included as part of the Jetson Nano developer kit and the Jetson Xavier NX developer kit have slots for using microSD cards instead of eMMC as system storage devices.

Please refer to NVIDIA software documentation online here for information about supported features.




Jetson Module Lineup



Jetson AGX Xavier series

Jetson AGX Xavier series modules enable new levels of compute density, power efficiency, and AI inferencing capabilities at the edge. Jetson AGX Xavier ships with configurable power profiles preset for 10W, 15W, and 30W, and Jetson AGX Xavier Industrial ships with profiles preset for 20W and 40W. These power profiles are switchable at runtime, and can be customized to your specific application needs. These modules have 10X the energy efficiency and 20X the performance of Jetson TX2.

Jetson AGX Xavier|Jetson AGX Xavier Industrial



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.

Jetson Xavier NX


Jetson TX2

The Jetson TX2 Developer Kit gives you a fast, easy way to develop hardware and software for the Jetson TX2 AI supercomputer on a module. It exposes the hardware capabilities and interfaces of the module and is supported by NVIDIA Jetpack—a complete SDK that includes the BSP, libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.

Jetson TX2 NX|Jetson TX2 4GB|Jetson TX2|Jetson TX2i



Jetson Nano

Jetson Nano is a small, powerful computer for embedded AI systems and IoT that delivers the power of modern AI in a low-power platform. Get started fast with the NVIDIA Jetpack SDK and a full desktop Linux environment and start exploring a new world of embedded products.

Jetson Nano

Sours: https://developer.nvidia.com/embedded/jetson-modules

Meet Jetson, the Platform for AI at the Edge

NVIDIA® Jetson™ is used by professional developers to create breakthrough AI products across all industries, and by students and enthusiasts for hands-on AI learning and making amazing projects.

The Jetson platform includes small, power-efficient developer kits and production modules that offer high-performance acceleration of the NVIDIA CUDA-X™ software stack.


Highlights


#

Announcing Jetson AGX Xavier Industrial

#

Cloud-Native Support for Jetson Platform

Jetson Community Projects | NVIDIA Developer

Explore Jetson Projects Created by our Community

#

Get Started on Your AI Learning Today

#

New to the NVIDIA Jetson platform?

#

Pushing Boundaries with Embedded Computing

#

Find the Right Jetson Partner for Your Needs

Sours: https://developer.nvidia.com/embedded-computing
  1. Shelf liner paper
  2. Cardinal loved one quote
  3. Annapolis crime reports

Nvidia Jetson

Series of embedded computing boards by Nvidia

Nvidia Jetson is a series of embedded computing boards from Nvidia. The Jetson TK1, TX1 and TX2 models all carry a Tegra processor (or SoC) from Nvidia that integrates an ARM architecturecentral processing unit (CPU). Jetson is a low-power system and is designed for accelerating machine learning applications.

Hardware[edit]

The Jetson family includes the following boards:

  • In late April 2014, Nvidia shipped the Nvidia Jetson TK1 development board containing a Tegra K1 SoC in the T124 variant and running Ubuntu Linux.[1]
  • The Nvidia Jetson TX1 development board bears a Tegra X1 of model T210.[2]
  • The Nvidia Jetson TX2 board bears a Tegra X2 of microarchitecture GP10B[3] (SoC type T186 or very similar). This board and the associated development platform was announced in March 2017 as a compact card design for low power scenarios, e.g. for the use in smaller camera drones. A matrix describing a set of performance modes was provided by the media along with that.[4] Further a TX2i variant, said to be rugged and suitable for industrial use cases, is mentioned.[5]
  • The Nvidia Jetson Xavier was announced as a development kit in end of August 2018[6] Indications were given that a 20x acceleration for certain application cases compared to predecessor devices should be expected, and that the application power efficiency is 10x improved.
  • The Nvidia Jetson Nano was announced as a development system in mid-March 2019[7] The intended market is for hobbyist robotics due to the low price point.[8][9] The final specs expose the board being sort of a power-optimized, stripped-down version of what a full Tegra X1 system would mean. Comparing in more detail only half of the CPU (only 4x A57 @ 1.43 GHz) and GPU (128 cores of Maxwell generation @ 921 MHz) cores are present and only half of the maximum possible RAM is attached (4 GB LPDDR4 @ 64 bit + 1.6 GHz = 25.6 GB/s) whilst the available or usable interfacing is determined by the baseboard design and is further subject of implementation decisions and specifics in an end user specific design for an application case.[10]

The published performance modes of the Nvidia Jetson TX2 are as follows.

Mode Max Clocks (Denver2 + A57) Max-P (Denver2 + A57) Max-P (only Denver2) Max-P (only A57) Max-Q (only A57)
GPU Clock / MHz 1302 1122 854
Denver2 Clock / MHz 2000 1400 2000 stopped stopped
Cortex-A57 / MHz 2000+ 1400 stopped 2000 1200
TDP / W might vary 15 15 15 7.5


Jetson TX2 also has 5 power modes, numbered 0 through 4 as published by NVIDIA.[11] The default mode is mode 3 (MAX-P).

Property MAX-N

(Mode 0)

MAX-Q

(Mode 1)

MAX-P

(Mode 2)

MAX-P*

(Mode 3)

MAX-P

(Mode 4)

Power budget N/A 7.5W 15W 15W 15W
Online A57 CPU 4 4 4 4 1
Online D15 CPU 2 0 2 0 1
A57 CPU max freq (MHz) 2000 1200 1400 2000 345
D15 CPU max freq (MHz) 2000 N/A 1400 N/A 2000
GPU max freq (MHz) 1300 850 1122 1122 1122
Memory max freq (MHz) 1866 1331 1600 1600 1600

The published operation modes of the Nvidia Jetson Nano are:

Mode 0 1
GPU Clock / MHz 921 640
Cortex-A57 / MHz 4x 1428 2x 918
2x stopped
TDP / W 10 5

Software[edit]

Various operating systems and software might be able to run on the Jetson board series.

Linux[edit]

JetPack is a Software Development Kit (SDK) from Nvidia for their Jetson board series. It includes the Linux for Tegra (L4T) operating system and other tools. The official Nvidia download page bears an entry for JetPack 3.2 (uploaded there on 2018-03-08) that states:

JetPack 3.2 adds support for the Linux for Tegra r28.2 image for the Jetson OS. It is packaged with newer versions of Tegra System Profiler, TensorRT, and cuDNN from the last release.[12]

RedHawk Linux is a high-performance RTOS available for the Jetson platform, along with associated NightStar real-time development tools, CUDA/GPU enhancements, and a framework for hardware-in-the-loop and man-in-the-loop simulations.[13]

QNX[edit]

The QNX operating system also available for the Jetson platform, though it is not widely announced. There are success reports of installing and running specific QNX packages on certain Nvidia Jetson board variants. Namely the package qnx-V3Q-23.16.01 that is seemingly in parts based on Nvidia's Vibrante Linux distribution is reported to run on the Jetson TK1 Pro board.[14]

See also[edit]

References[edit]

  1. ^Michael Larabel (29 April 2014). "NVIDIA's Tegra TK1 Jetson Board Is Now Shipping". Phoronix.
  2. ^"Embedded Systems Development Solutions from NVIDIA Jetson". NVIDIA. 2015-03-18. Retrieved 2016-07-10.
  3. ^NVIDIA Rolls Out Tegra X2 GPU Support In Nouveau by Michael Larabel at phoronix.com on March 29, 2017
  4. ^NVIDIA Announces Jetson TX2: Parker Comes To NVIDIA’s Embedded System Kit, March 7, 2017
  5. ^"NVIDIA Jetson TX2i Module for Industrial Environments". NVIDIA Developer Forums. March 9, 2018.
  6. ^"Jetson AGX Xavier Developer Kit". NVIDIA Developer. July 9, 2018.
  7. ^"NVIDIA Jetson Nano For Edge AI Applications and Education". NVIDIA.
  8. ^"Nvidia Jetson Nano – $99 of CUDA X Awesomeness". March 18, 2019.
  9. ^"Hands-On: New Nvidia Jetson Nano Is More Power In A Smaller Form Factor". March 18, 2019.
  10. ^NVIDIA Introduces $99 Jetson Nano Developer Kit by Jean-Luc Aufranc on March 19, 2019 on CNXSoft
  11. ^"Tegra Linux Driver (See under "NVPModel Clock Configuration for Jetson TX2 and TX2 4GB")". docs.nvidia.com. Retrieved 2021-07-25.
  12. ^"Jetson Download Center". NVIDIA Developer. November 3, 2015.
  13. ^"Concurrent products for the NVIDIA Jetson". Concurrent Real-Time Linux RTOS Solutions.
  14. ^"Running QNX onto Jetson TK1 Pro (1860)". NVIDIA Developer Forums. June 6, 2016.
Sours: https://en.wikipedia.org/wiki/Nvidia_Jetson
MIT Autonomous RC Cars with NVIDIA Jetson embedded technology

.

Embedded nvidia

.

Get Started with NVIDIA Jetson Nano Developer Kit

.

Similar news:

.



952 953 954 955 956