NVIDIA Jetson TK1 EVM: Difference between revisions

Revision as of 20:31, 7 November 2016

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NVIDIA Jetson TK1 EVM

RidgeRun provides support for the NVIDIA Jetson TK1 EVM Board from NVIDIA. This board is supported either with the Evaluation SDK or with the Professional SDK. You can download the evaluation SDK for the EVM from the RidgeRun download center. To purchase a professional SDK, please use our Online Store or our Contact Us Link.

Description

Jetson TX1 is capable of delivering the performance and power efficiency needed for the latest visual computing applications. It's built around the revolutionary NVIDIA Tegra® K1 SoC and uses the same NVIDIA Kepler™ computing core designed into supercomputers around the world. This gives you a fully functional NVIDIA CUDA® platform for quickly developing and deploying compute-intensive systems for computer vision, robotics, medicine, and more.

Software and documentation:

You must register in NVIDIA Embedded developer program as an embedded system developer to get most documentation, host software, and software updates.

NVIDIA Embedded developer program: https://developer.nvidia.com/embedded-developer-program

NVIDIA Embedded Download Center: https://developer.nvidia.com/embedded/downloads

JetPack: There is an Linux SDK for the board provided by NVIDIA, it includes the BSP and several development tools, it is called JetPack and the Linux package is called Linux4Tegra (L4T) , the latest version available is R24.2:

https://developer.nvidia.com/embedded/linux-tegra

Developer Kit/EVM for the Tegra TK1 module includes Tegra TK1 module with NVIDIA Kepler GPU with 192 CUDA Cores, NVIDIA 4-Plus-1™ Quad-Core ARM® Cortex™-A15 CPU, 2 GB DDR3L, 16 GB eMMC.

Features Supported by the SDK

For a completed list of the features supported by the SDK please check the RidgeRun Professional SDK Irazu for Nvidia TegraX1 Release_Notes

Please download the evaluation version of the SDK and follow the steps included in the Getting Started Guide. For any question please contact us

Articles related to this board

@@ Line 10: / Line 10: @@
 == NVIDIA Jetson TK1 EVM ==
-[http://www.ridgerun.com RidgeRun] provides support for the [http://www.nvidia.com/object/jetson-tx1-module.html NVIDIA Jetson TX1 EVM Board] from [http://www.nvidia.com/object/embedded-systems-dev-kits-modules.html NVIDIA]. This board is supported either with the [[Evaluation SDK]] or with the [[Professional SDK]]. You can download the evaluation SDK for the EVM from the RidgeRun [http://www.ridgerun.com/#!download-center/ggplf download center]. To purchase a professional SDK, please use our [http://www.ridgerun.com/store/!/Nvidia-Tegra-X1-SDK/p/65149159/category%3D19075021 Online Store] or our  [http://www.ridgerun.com/#!contact-us/c3vn Contact Us Link].
+[http://www.ridgerun.com RidgeRun] provides support for the [http://www.nvidia.com/object/jetson-tk1-embedded-dev-kit.html NVIDIA Jetson TK1 EVM Board] from [http://www.nvidia.com/object/embedded-systems-dev-kits-modules.html NVIDIA]. This board is supported either with the [[Evaluation SDK]] or with the [[Professional SDK]]. You can download the evaluation SDK for the EVM from the RidgeRun [http://www.ridgerun.com/#!download-center/ggplf download center]. To purchase a professional SDK, please use our [http://www.ridgerun.com/store/!/Nvidia-Tegra-X1-SDK/p/65149159/category%3D19075021 Online Store] or our  [http://www.ridgerun.com/#!contact-us/c3vn Contact Us Link].
-[[File:NVIDIA Jetson TX1 EVM.jpg|center]]
+[[File:Jetson-tk1.png|center]]
 == Description  ==
-Jetson TX1 is capable of delivering the performance and power efficiency needed for the latest visual computing applications. It's built around the revolutionary NVIDIA Maxwell™ architecture with 256 CUDA cores delivering over 1 TeraFLOPs of performance. 64-bit CPUs, 4K video endcode and decode capabilities, and a camera interface capable of 1400 MPix/s make this the best system for embedded deep learning, computer vision, graphics, and GPU computing.
+Jetson TX1 is capable of delivering the performance and power efficiency needed for the latest visual computing applications. It's built around the revolutionary NVIDIA Tegra® K1 SoC and uses the same NVIDIA Kepler™ computing core designed into supercomputers around the world. This gives you a fully functional NVIDIA CUDA® platform for quickly developing and deploying compute-intensive systems for computer vision, robotics, medicine, and more.
 '''Software and documentation:'''
@@ Line 25: / Line 25: @@
 NVIDIA Embedded Download Center: https://developer.nvidia.com/embedded/downloads
-'''JetPack:''' There is an Linux SDK for the board provided by NVIDIA, it includes the BSP and several development tools, it is called JetPack and the Linux package is called Linux4Tegra (L4T) , the latest version available is R23.1:
+'''JetPack:''' There is an Linux SDK for the board provided by NVIDIA, it includes the BSP and several development tools, it is called JetPack and the Linux package is called Linux4Tegra (L4T) , the latest version available is R24.2:
 https://developer.nvidia.com/embedded/linux-tegra
-'''Developer Kit/EVM''' for the Jetson TX1 module includes Jetson TX1 module with NVIDIA Maxwell GPU, ARM 64-bit CPUs, 4 GB LPDDR4, 16 GB eMMC, WiFi and BT Ready.
+'''Developer Kit/EVM''' for the Tegra TK1 module includes Tegra TK1 module with NVIDIA Kepler GPU with 192 CUDA Cores, NVIDIA 4-Plus-1™ Quad-Core ARM® Cortex™-A15 CPU, 2 GB DDR3L, 16 GB eMMC.
 == Features Supported by the SDK  ==
-For a completed list of the features supported by the SDK please check the [https://developer.ridgerun.com/wiki/index.php?title=RidgeRun_Professional_SDK_Irazu_for_Nvidia_TegraX1_-_Release_Notes RidgeRun Professional SDK Irazu for Nvidia TegraX1 Release_Notes]
+For a completed list of the features supported by the SDK please check the [https://developer.ridgerun.com/wiki/index.php?title=RidgeRun_Professional_SDK_Irazu_for_Nvidia_TegraK1_-_Release_Notes RidgeRun Professional SDK Irazu for Nvidia TegraX1 Release_Notes]
-Please [http://www.ridgerun.com/downloads download the evaluation version] of the SDK and follow the steps included in the [https://developer.ridgerun.com/wiki/index.php?title=Getting_Started_Guide_for_Tegra_X1_Jetson Getting Started Guide]. For any question please [http://www.ridgerun.com/contact contact us]
+Please [http://www.ridgerun.com/downloads download the evaluation version] of the SDK and follow the steps included in the [https://developer.ridgerun.com/wiki/index.php?title=Getting_Started_Guide_for_Tegra_K1_Jetson Getting Started Guide]. For any question please [http://www.ridgerun.com/contact contact us]
 == Articles related to this board  ==
-*[http://www.nvidia.com/object/jetson-tx1-module.html TX1 Module ]
+*[http://www.nvidia.com/object/jetson-tk1-embedded-dev-kit.html ]
 *[https://developer.nvidia.com/embedded-developer-program Developer Program]
 *[https://developer.nvidia.com/embedded/downloads NVIDIA Downloads]
 *[https://developer.nvidia.com/embedded/linux-tegra Linux4Tegra]
-*[https://developer.ridgerun.com/wiki/index.php?title=Getting_Started_Guide_for_Tegra_X1_Jetson Getting Started Guide for Tegra X1]
+*[https://developer.ridgerun.com/wiki/index.php?title=Getting_Started_Guide_for_Tegra_K1_Jetson]
 *[https://developer.ridgerun.com/wiki/index.php?title=Gstreamer_pipelines_for_Tegra_X1 Gstreamer pipelines for Tegra X1]
-*[https://developer.ridgerun.com/wiki/index.php?title=Compiling_Tegra_X1_source_code Compiling Tegra X1 source code]
 [[Category:BoardDocumentation]] [[Category:TegraX1]]