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  2. GeForce 30 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_30_series

    All the RTX 30 GPUs are made using the 8 nm Samsung node. [37] Only the RTX 3090 and RTX 3090 Ti support 2-way NVLink. RTX 3050 feature limited 8 lanes for the PCIe 4.0 bus interface. All other cards support the full ×16 bandwidth. Double-precision performance of the Ampere chips are 1/64 of single-precision performance.

  3. GeForce 40 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_40_series

    RTX 4060 and RTX 4060 Ti have a limited 8 lane PCI Express 4.0 bus interface. All other cards support the full 16 lanes. All other cards support the full 16 lanes. There is a slower (on average 1% slower according to a single review [ 16 ] so far) variant of the RTX 4070 with 20Gbps GDDR6 VRAM introduced in August 2024.

  4. List of Nvidia graphics processing units - Wikipedia

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

    Code name – The internal engineering codename for the processor (typically designated by an NVXY name and later GXY where X is the series number and Y is the schedule of the project for that generation). Fab – Fabrication process. Average feature size of components of the processor.

  5. Nvidia RTX - Wikipedia

    en.wikipedia.org/wiki/Nvidia_RTX

    Nvidia RTX (also known as Nvidia GeForce RTX under the GeForce brand) is a professional visual computing platform created by Nvidia, primarily used in workstations for designing complex large-scale models in architecture and product design, scientific visualization, energy exploration, and film and video production, as well as being used in mainstream PCs for gaming.

  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

    In computing, CUDA 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.

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