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  2. Tensor Processing Unit - Wikipedia

    en.wikipedia.org/wiki/Tensor_Processing_Unit

    TPU v4 improved performance by more than 2x over TPU v3 chips. Pichai said "A single v4 pod contains 4,096 v4 chips, and each pod has 10x the interconnect bandwidth per chip at scale, compared to any other networking technology.” [ 31 ] An April 2023 paper by Google claims TPU v4 is 5-87% faster than an Nvidia A100 at machine learning ...

  3. SPARC T4 - Wikipedia

    en.wikipedia.org/wiki/SPARC_T4

    The SPARC T4 is a SPARC multicore microprocessor introduced in 2011 by Oracle Corporation. The processor is designed to offer high multithreaded performance (8 threads per core, with 8 cores per chip), as well as high single threaded performance from the same chip. [1] The chip is the 4th generation [2] processor in the T-Series family.

  4. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).

  5. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    M2050 GPU Computing Module [12] July 25, 2011 — 3092 148.4 No 225 C2070 GPU Computing Module [11] July 25, 2011 1× GF100 575 448 1150 — GDDR5 384 6 [g] 3000 144 No 1.030 0.5152 2.0 247 Internal PCIe GPU (full-height, dual-slot) C2075 GPU Computing Module [13] July 25, 2011 — 3000 144 No 225 M2070/M2070Q GPU Computing Module [14] July 25 ...

  6. AI accelerator - Wikipedia

    en.wikipedia.org/wiki/AI_accelerator

    An AI accelerator, deep learning processor or neural processing unit (NPU) is a class of specialized hardware accelerator [1] or computer system [2] [3] designed to accelerate artificial intelligence (AI) and machine learning applications, including artificial neural networks and computer vision.

  7. Turing (microarchitecture) - Wikipedia

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

    Turing is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia. It is named after the prominent mathematician and computer scientist Alan Turing . The architecture was first introduced in August 2018 at SIGGRAPH 2018 in the workstation-oriented Quadro RTX cards, [ 2 ] and one week later at Gamescom in consumer ...

  8. Tegra - Wikipedia

    en.wikipedia.org/wiki/Tegra

    The GPU in Tegra 3 is an evolution of the Tegra 2 GPU, with 4 additional pixel shader units and higher clock frequency. It can also output video up to 2560×1600 resolution and supports 1080p MPEG-4 AVC/h.264 40 Mbit/s High-Profile, VC1-AP, and simpler forms of MPEG-4 such as DivX and Xvid. [30] The Tegra 3 was released on November 9, 2011. [31]

  9. Multidimensional DSP with GPU acceleration - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_DSP_with...

    Multidimensional Digital Signal Processing (MDSP) refers to the extension of Digital signal processing (DSP) techniques to signals that vary in more than one dimension. . While conventional DSP typically deals with one-dimensional data, such as time-varying audio signals, MDSP involves processing signals in two or more dimens