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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.
Photo of James Clerk Maxwell, eponym of architecture. Maxwell is the codename for a GPU microarchitecture developed by Nvidia as the successor to the Kepler microarchitecture. . The Maxwell architecture was introduced in later models of the GeForce 700 series and is also used in the GeForce 800M series, GeForce 900 series, and Quadro Mxxx series, as well as some Jetson produ
The official Nvidia download page bears an entry for JetPack 3.2 (uploaded there on 2018-03-08) that states: JetPack 3.2 adds support for the Linux for Tegra r28.2 image for the Jetson OS. It is packaged with newer versions of Tegra System Profiler, TensorRT , and cuDNN from the last release.
64 128 1.000 7.0 1.2 ? GeForce4 MX420 February 6, 2002 NV17 29 [12] 65 AGP 4x PCI 166 64 2.656 SDR DDR 128 (SDR) 64 (DDR) 14 GeForce4 MX440 SE 2002 133 166 [13] 500 [13] 1000 64 128 2.128 5.312 [13] DDR 64 128 [13] 13 GeForce MX4000 December 14, 2003 NV18B 29 65 AGP 8x PCI 166 1000 2.656 64 14 GeForce PCX4300 February 19, 2004 PCIe x16 128 16 ...
The Nvidia Tesla product line competed with AMD's Radeon Instinct and Intel Xeon Phi lines of deep learning and GPU cards. Nvidia retired the Tesla brand in May 2020, reportedly because of potential confusion with the brand of cars. [1] Its new GPUs are branded Nvidia Data Center GPUs [2] as in the Ampere-based A100 GPU. [3]
NVENC AV1 hardware encoding with support for up to 8K resolution at 60FPS in 10-bit color is added, enabling higher video fidelity at lower bit rates compared to the H.264 and H.265 codecs. [20] Nvidia claims that its NVENC AV1 encoder featured in the Lovelace architecture is 40% more efficient than the H.264 encoder in the Ampere architecture.
The Quadro line of GPU cards emerged in an effort towards market segmentation by Nvidia. [citation needed] In introducing Quadro, Nvidia was able to charge a premium for essentially the same graphics hardware in professional markets, and direct resources to properly serve the needs of those markets.
Kodi has greater basic hardware requirements than traditional 2D style software applications: it needs a 3D capable graphics hardware controller for all rendering. Powerful 3D GPU chips are common today in most modern computer platforms, including many set-top boxes, and XBMC, now Kodi, was from the start designed to be otherwise very resource-efficient, for being as powerful and versatile a ...