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  2. Nvidia Jetson - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Jetson

    In September 2022 Nvidia announced the Jetson Orin Nano. [ 13 ] [ 14 ] The modules have the same 260-pin SO-DIMM connector and 69.6 mm x 45 mm dimensions, and come in two variants. The 4 GB variant provides 20 Sparse or 10 Dense TOPs, using a 512-core Ampere GPU with 16 Tensor cores, while the 8 GB variant doubles those numbers to 40/20 TOPs, a ...

  3. Nvidia Drive - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Drive

    The Drive AGX Orin board family was announced on December 18, 2019, at GTC China 2019. [20] On May 14, 2020, Nvidia announced that Orin would be utilizing the new Ampere GPU microarchitecture and would begin sampling for manufacturers in 2021 and be available for production in 2022. [ 21 ]

  4. Tegra - Wikipedia

    en.wikipedia.org/wiki/Tegra

    The Orin product line now features SoC and SoM (System-On-Module) based on the core Orin design and scaled for different uses from 60W all the way down to 5W. While less is known about the exact SoC's that are being manufactured, Nvidia has publicly shared detailed technical specifications about the entire Jetson Orin SoM product line.

  5. NYT ‘Connections’ Hints and Answers Today, Saturday, December 14

    www.aol.com/nyt-connections-hints-answers-today...

    Get ready for all of today's NYT 'Connections’ hints and answers for #552 on Saturday, December 14, 2024. Today's NYT Connections puzzle for Saturday, December 14, 2024 The New York Times

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  7. Polar vortex headed for US will bring ‘exceptionally cold ...

    www.aol.com/news/polar-vortex-headed-us-bring...

    That means arctic air is blasting over the US, while pressure changes and the motion of the polar vortex whip up high winds and create a perfect recipe for wintry weather.

  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.

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