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  2. GeForce 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]

  3. EVGA Corporation - Wikipedia

    en.wikipedia.org/wiki/EVGA_Corporation

    EVGA's CEO, Andrew Han, explained that the company did not have an interest in becoming an add-in board partner for other GPU vendors, such as AMD or Intel, nor did EVGA plan to sell to another company. [33] EVGA planned to continue to sell remaining RTX 30 series cards stock through the end of 2022 to complete the exit from the Nvidia partnership.

  4. NVIDIA unveils the $699 GeForce RTX 3080, its first 'Ampere' GPU

    www.aol.com/news/nvidia-rtx-3080-gpu-ampere...

    NVIDIA has officially unveiled its RTX 3000 "Ampere" GPUs.

  5. 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.

  6. Ampere (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Ampere_(microarchitecture)

    Ampere is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to both the Volta and Turing architectures. It was officially announced on May 14, 2020, and is named after French mathematician and physicist André-Marie Ampère.

  7. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements for the execution of compute kernels. [6] In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries and developer tools to help programmers accelerate their applications.

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