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  2. List of Nvidia graphics processing units - Wikipedia

    en.wikipedia.org/wiki/List_of_Nvidia_graphics...

    This number is generally used as a maximum throughput number for the GPU and generally, a higher fill rate corresponds to a more powerful (and faster) GPU. Memory subsection. Bandwidth – Maximum theoretical bandwidth for the processor at factory clock with factory bus width. GHz = 10 9 Hz. Bus type – Type of memory bus or buses used.

  3. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA (Compute Unified Device Architecture) is a proprietary [2] 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.

  4. GeForce RTX 30 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_30_series

    The GeForce 30 series is a suite of graphics processing units (GPUs) developed by Nvidia, succeeding the GeForce 20 series.The GeForce 30 series is based on the Ampere architecture, which features Nvidia's second-generation ray tracing (RT) cores and third-generation Tensor Cores. [3]

  5. GeForce 800M series - Wikipedia

    en.wikipedia.org/wiki/GeForce_800M_series

    NVIDIA N15P-GX-A2 GPU of the GeForce 860M with its VRAM. The GeForce 800M series is a family of graphics processing units by Nvidia for laptop PCs. [3] It consists of rebrands of mobile versions of the GeForce 700 series [3] and some newer chips that are lower end compared to the rebrands.

  6. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).

  7. Free and open-source graphics device driver - Wikipedia

    en.wikipedia.org/wiki/Free_and_open-source...

    Due to the history of the rigidity of proprietary driver development there has been a recent surge in the number of community-backed device drivers for desktop and mobile GPUs. Free and Open Hardware organizations like FOSSi, LowRISC, and others, would also benefit from the development of an open graphical hardware standard.

  8. Ada Lovelace (microarchitecture) - Wikipedia

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

    The last enabled AD102 Lovelace die features 96 MB of L2 cache, a 16x increase from the 6 MB in the Ampere-based GA102 die. [15] The GPU having quick access to a high amount of L2 cache benefits complex operations like ray tracing compared to the GPU seeking data from the GDDR video memory which is slower.

  9. VDPAU - Wikipedia

    en.wikipedia.org/wiki/VDPAU

    VDPAU is implemented in X11 software device drivers, but relies on acceleration features in the hardware GPU. All Nvidia graphic cards for which the driver implements VDPAU are listed in Nvidia PureVideo. [10] S3 Graphics added VDPAU to the Linux drivers of their Chrome 400 video cards. As of version 14.02.17 of its Linux device driver, VDPAU ...