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  2. GeForce 256 - Wikipedia

    en.wikipedia.org/wiki/GeForce_256

    GeForce 256 (NV10) GPU Quadro (NV10GL) GPU Die shot of an NV10 GPU. GeForce 256 was marketed as "the world's first 'GPU', or Graphics Processing Unit", a term Nvidia defined at the time as "a single-chip processor with integrated transform, lighting, triangle setup/clipping, and rendering engines that is capable of processing a minimum of 10 million polygons per second".

  3. Nvidia - Wikipedia

    en.wikipedia.org/wiki/Nvidia

    In 2009, Nvidia was involved in what was called the "big bang" of deep learning, "as deep-learning neural networks were combined with Nvidia graphics processing units (GPUs)". [188] That year, the Google Brain team used Nvidia GPUs to create deep neural networks capable of machine learning, where Andrew Ng determined that GPUs could increase ...

  4. Graphics processing unit - Wikipedia

    en.wikipedia.org/wiki/Graphics_processing_unit

    Components of a GPU. A graphics processing unit (GPU) is a specialized electronic circuit initially designed for digital image processing and to accelerate computer graphics, being present either as a discrete video card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles.

  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. 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.

  7. Ada Lovelace (microarchitecture) - Wikipedia

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

    Ada Lovelace, also referred to simply as Lovelace, [1] is a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to the Ampere architecture, officially announced on September 20, 2022.

  8. Is Nvidia a Once-in-a-Generation Investment Opportunity After ...

    www.aol.com/nvidia-once-generation-investment...

    How did Nvidia become so successful in the first place? The company, once known for powering the gaming industry's products with its graphics processing units (GPUs), saw the potential for GPUs to ...

  9. Computer graphics - Wikipedia

    en.wikipedia.org/wiki/Computer_graphics

    In 1996, Krishnamurty and Levoy invented normal mapping – an improvement on Jim Blinn's bump mapping. 1999 saw Nvidia release the seminal GeForce 256, the first home video card billed as a graphics processing unit or GPU, which in its own words contained "integrated transform, lighting, triangle setup/clipping, and rendering engines".

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