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  2. GPU switching - Wikipedia

    en.wikipedia.org/wiki/GPU_switching

    Nvidia TDP AMD TDP CPU Model & Frequency Intel IGP Serie Intel Core i7-6700K @ 4.00 GHz Intel HD Graphics 530 91W GTX 1080 180W Radeon R9 Fury 275W Desktop Intel Core i5-6600K @ 3.50 GHz Intel HD Graphics 530 91W GTX 970 145W Radeon R9 Nano 175W Intel Core i7-4790K @ 4.40 GHz Intel HD Graphics 4600 88W GTX 780Ti 250W Radeon RX 480 150W

  3. RDNA 2 - Wikipedia

    en.wikipedia.org/wiki/RDNA_2

    With RDNA, AMD sought to reduce latency and improve power efficiency over their previous Vega series based on GCN 5th gen and Nvidia's competing Turing microarchitecture. [ 1 ] RDNA 2 was first publicly announced in January 2020 with AMD initially calling RDNA 2 a "refresh" of the original RDNA architecture from the previous year. [ 2 ]

  4. 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.

  5. 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 ...

  6. Turing (microarchitecture) - Wikipedia

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

    Key elements include dedicated artificial intelligence processors ("Tensor cores") and dedicated ray tracing processors ("RT cores"). Turing leverages DXR, OptiX, and Vulkan for access to ray tracing. In February 2019, Nvidia released the GeForce 16 series GPUs, which utilizes the new Turing design but lacks the RT and Tensor cores.

  7. Deep Learning Anti-Aliasing - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_anti-aliasing

    Deep Learning Anti-Aliasing (DLAA) is a form of spatial anti-aliasing created by Nvidia. [1] DLAA depends on and requires Tensor Cores available in Nvidia RTX cards. [1]DLAA is similar to Deep Learning Super Sampling (DLSS) in its anti-aliasing method, [2] with one important differentiation being that the goal of DLSS is to increase performance at the cost of image quality, [3] whereas the ...

  8. AMD and Nvidia Overtake Intel in Key Markets, Challenging Its ...

    www.aol.com/finance/amd-nvidia-overtake-intel...

    Also Read: Nvidia and Intel Competition Threaten AMD’s Growth, Analyst Says AMD emerged as a nemesis, snatching Intel’s moat in the advanced general-purpose chips business, dubbed central ...

  9. RDNA 3 - Wikipedia

    en.wikipedia.org/wiki/RDNA_3

    RDNA 3 is the first RDNA architecture to have a dedicated media engine. It is built into the GCD and is based on VCN 4.0 encoding and decoding core. [21] AMD's AMF AV1 encoder is comparable in quality to Nvidia's NVENC AV1 encoder but can handle a higher number of simultaneous encoding streams compared to the limit of 3 on the GeForce RTX 40 ...