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  2. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    In September 2022, Meta announced that PyTorch would be governed by the independent PyTorch Foundation, a newly created subsidiary of the Linux Foundation. [ 24 ] PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo , a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and ...

  3. Tesla Dojo - Wikipedia

    en.wikipedia.org/wiki/Tesla_Dojo

    Tesla Dojo is a supercomputer designed and built by Tesla for computer vision video processing and recognition. [1] It is used for training Tesla's machine learning models to improve its Full Self-Driving (FSD) advanced driver-assistance system. According to Tesla, it went into production in July 2023. [2]

  4. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    CUDA was created by Nvidia in 2006. [2] When it was first introduced, the name was an acronym for Compute Unified Device Architecture, [ 3 ] but Nvidia later dropped the common use of the acronym and now rarely expands it.

  5. Tesla Autopilot hardware - Wikipedia

    en.wikipedia.org/wiki/Tesla_Autopilot_hardware

    Tesla Autopilot, an advanced driver-assistance system for Tesla vehicles, uses a suite of sensors and an onboard computer. It has undergone several hardware changes and versions since 2014, most notably moving to an all-camera-based system by 2023, in contrast with ADAS from other companies, which include radar and sometimes lidar sensors.

  6. Gigafactory New York - Wikipedia

    en.wikipedia.org/wiki/Gigafactory_New_York

    Gigafactory New York (also known as Giga New York or Gigafactory 2) [3] is factory leased by Tesla, Inc. in the Riverbend section of Buffalo, New York. The factory, owned by the State of New York , was built on brownfield land remediated from a former steel mill.

  7. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    Nvidia Tesla C2075. Offering computational power much greater than traditional microprocessors, the Tesla products targeted the high-performance computing market. [4] As of 2012, Nvidia Teslas power some of the world's fastest supercomputers, including Summit at Oak Ridge National Laboratory and Tianhe-1A, in Tianjin, China.

  8. Torch (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Torch_(machine_learning)

    LongTensor {1, 2})-0.2381-0.3401-1.7844-0.2615 0.1411 1.6249 0.1708 0.8299 [torch. DoubleTensor of dimension 2 x4 ] > a : min () - 1.7844365427828 The torch package also simplifies object-oriented programming and serialization by providing various convenience functions which are used throughout its packages.

  9. PyTorch Lightning - Wikipedia

    en.wikipedia.org/wiki/PyTorch_Lightning

    PyTorch Lightning is an open-source Python library that provides a high-level interface for PyTorch, a popular deep learning framework. [1] It is a lightweight and high-performance framework that organizes PyTorch code to decouple research from engineering, thus making deep learning experiments easier to read and reproduce.