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  2. Nvidia's Next Multibillion-Dollar Opportunity Is Hiding in ...

    www.aol.com/finance/nvidias-next-multibillion...

    In August 2022, Nvidia CFO Colette Kress remarked that GeForce Now has more than 20 million registered users. That was a big improvement from February 2020 when the service had 1 million users.

  3. Kepler (microarchitecture) - Wikipedia

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

    The significance of this being that having a single work queue meant that Fermi could be under occupied at times as there wasn't enough work in that queue to fill every SM. By having 32 work queues, GK110 can in many scenarios, achieve higher utilization by being able to put different task streams on what would otherwise be an idle SMX.

  4. GeForce Now - Wikipedia

    en.wikipedia.org/wiki/GeForce_Now

    GeForce Now (stylized as GeForce NOW) is the brand used by Nvidia for its cloud gaming service. The Nvidia Shield version of GeForce Now, formerly known as Nvidia Grid , launched in beta in 2013, [ 3 ] with Nvidia officially unveiling its name on September 30, 2015.

  5. 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.

  6. Pascal (microarchitecture) - Wikipedia

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

    Painting of Blaise Pascal, eponym of architecture. Pascal is the codename for a GPU microarchitecture developed by Nvidia, as the successor to the Maxwell architecture. The architecture was first introduced in April 2016 with the release of the Tesla P100 (GP100) on April 5, 2016, and is primarily used in the GeForce 10 series, starting with the GeForce GTX 1080 and GTX 1070 (both using the ...

  7. 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.

  8. PhysX - Wikipedia

    en.wikipedia.org/wiki/PhysX

    Nvidia started enabling PhysX hardware acceleration on its line of GeForce graphics cards [7] and eventually dropped support for Ageia PPUs. [8] PhysX SDK 3.0 was released in May 2011 and represented a significant rewrite of the SDK, bringing improvements such as more efficient multithreading and a unified code base for all supported platforms. [2]

  9. Nvidia NVDEC - Wikipedia

    en.wikipedia.org/wiki/Nvidia_NVDEC

    Nvidia NVDEC (formerly known as NVCUVID [1]) is a feature in its graphics cards that performs video decoding, offloading this compute-intensive task from the CPU. [2] NVDEC is a successor of PureVideo and is available in Kepler and later Nvidia GPUs.