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  2. Nvidia Jetson - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Jetson

    Nvidia Jetson Xavier NX has a 6-core Nvidia Carmel ARMv8.2. The Nvidia Jetson AGX Xavier is the 8-core version on the same core architecture (Carmel Armv8.2). [6] An Nvidia Jetson Nano developer kit. 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 ...

  3. Tegra - Wikipedia

    en.wikipedia.org/wiki/Tegra

    The Tegra APX 2500 was announced on February 12, 2008. The Tegra 6xx product line was revealed on June 2, 2008, [1] and the APX 2600 was announced in February 2009. The APX chips were designed for smartphones, while the Tegra 600 and 650 chips were intended for smartbooks and mobile Internet devices (MID).

  4. Nvidia debuts new products for robotics developers, including ...

    www.aol.com/news/nvidia-debuts-products-robotics...

    Amid the festivities at its fall 2022 GTC conference, Nvidia took the wraps off new robotics-related hardware and services aimed at companies developing and testing machines across industries like ...

  5. Ada Lovelace (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Ada_Lovelace_(micro...

    Ada Lovelace, also referred to simply as Lovelace, [1] is a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to the Ampere architecture, officially announced on September 20, 2022.

  6. Nvidia Drive - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Drive

    DRIVE AGX Pegasus Developer Kit vehicle external: 7x camera, 8x radar; vehicle internal: 1x camera 8 [36] [32] 2020 Xavier, Turing GPU DRIVE™ AGX Pegasus GV100, DRIVE™ AGX Xavier 5.0.13.2 (linux) vehicle external: 12x camera, 9x radar, 1x lidar 8.1 [37] 2022 estimated for 2024 Orin, Xavier, Turing GPU NVIDIA DRIVE AGX Orin™, DRIVE AGX ...

  7. Intel Quark - Wikipedia

    en.wikipedia.org/wiki/Intel_Quark

    Intel Galileo-board with Quark-processor. Intel Quark is a line of 32-bit x86 SoCs and microcontrollers by Intel, designed for small size and low power consumption, and targeted at new markets including wearable devices.

  8. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA is a proprietary [1] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.

  9. NVLink - Wikipedia

    en.wikipedia.org/wiki/NVLink

    NVLink is developed by Nvidia for data and control code transfers in processor systems between CPUs and GPUs and solely between GPUs. NVLink specifies a point-to-point connection with data rates of 20, 25 and 50 Gbit/s (v1.0/v2.0/v3.0+ resp.) per differential pair.