NVIDIA Jetson TK1 EVM: Difference between revisions
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== Articles related to this board == | == Articles related to this board == | ||
*[http://www.nvidia.com/object/jetson-tk1-embedded-dev-kit.html ] | *[http://www.nvidia.com/object/jetson-tk1-embedded-dev-kit.html TX1 Module] | ||
*[https://developer.nvidia.com/embedded-developer-program Developer Program] | *[https://developer.nvidia.com/embedded-developer-program Developer Program] | ||
*[https://developer.nvidia.com/embedded/downloads NVIDIA Downloads] | *[https://developer.nvidia.com/embedded/downloads NVIDIA Downloads] | ||
*[https://developer.nvidia.com/embedded/linux-tegra Linux4Tegra] | *[https://developer.nvidia.com/embedded/linux-tegra Linux4Tegra] | ||
*[https://developer.ridgerun.com/wiki/index.php?title=Getting_Started_Guide_for_Tegra_K1_Jetson] | *[https://developer.ridgerun.com/wiki/index.php?title=Getting_Started_Guide_for_Tegra_K1_Jetson Getting Started Guide for Tegra K1] | ||
*[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=Gstreamer_pipelines_for_Tegra_X1 Gstreamer pipelines for Tegra X1] | ||
[[Category:BoardDocumentation]] [[Category:TegraX1]] | [[Category:BoardDocumentation]] [[Category:TegraX1]] | ||
Revision as of 20:42, 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