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  2. 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.

  3. Ada Lovelace (microarchitecture) - Wikipedia

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

    The RTX 4090 features 128 RT cores compared to the 84 in the previous generation RTX 3090 Ti. These 128 RT cores can provide up to 191 TFLOPS of compute with 1.49 TFLOPS per RT core. [ 14 ] A new stage in the ray tracing pipeline called Shader Execution Reordering (SER) is added in the Lovelace architecture which Nvidia claims provides a 2x ...

  4. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    GPU's CUDA cores execute the kernel in parallel; Copy the resulting data from GPU memory to main memory; ... RTX A6000, RTX A5500, RTX A5000, RTX A4500, RTX A4000 ...

  5. List of Nvidia graphics processing units - Wikipedia

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

    Core config – The layout of the graphics pipeline, in terms of functional units. Over time the number, type, and variety of functional units in the GPU core has changed significantly; before each section in the list there is an explanation as to what functional units are present in each generation of processors.

  6. Quadro - Wikipedia

    en.wikipedia.org/wiki/Quadro

    CUDA cores CUDA Compute Capability DirectX Open GL Open CL Vulkan Power max. 3-pin ... RTX A6000 [185] [186] 2020-10-05 GA102-875 1410–1800 48 (96 with NVLink 3.0)

  7. 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.

  8. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    Nvidia Tesla C2075. Offering computational power much greater than traditional microprocessors, the Tesla products targeted the high-performance computing market. [4] As of 2012, Nvidia Teslas power some of the world's fastest supercomputers, including Summit at Oak Ridge National Laboratory and Tianhe-1A, in Tianjin, China.

  9. 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]