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  2. Volta (microarchitecture) - Wikipedia

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

    Painting of Alessandro Volta, eponym of architecture. Volta is the codename, but not the trademark, [1] for a GPU microarchitecture developed by Nvidia, succeeding Pascal.It was first announced on a roadmap in March 2013, [2] although the first product was not announced until May 2017. [3]

  3. Nvidia Jetson - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Jetson

    384-core Nvidia Volta architecture GPU with 48 Tensor cores 2 6-core Nvidia Carmel ARMv8.2 64-bit CPU 6MB L2 + 4MB L3 8 GiB 10–20 W 2023 Jetson Orin Nano [21] 34–67 Sparse INT8 TOPS up to 1024-core Nvidia Ampere architecture GPU with 32 Tensor cores — 6-core ARM Cortex-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 4–8 GiB 7–25 W 2023

  4. Tensor Processing Unit - Wikipedia

    en.wikipedia.org/wiki/Tensor_Processing_Unit

    Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by ...

  5. Comparison of CPU microarchitectures - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_CPU_micro...

    Multithreading, multi-core, 8 fine-grained threads per core of which 2 can be executed simultaneously, 2-way simultaneous multithreading, 6 cores per chip, out-of-order, 48 MB L3 cache, out-of order execution, RAS features, stream-processing unit, hardware-assisted cryptographic acceleration, 6 cryptography units per chip, Hardware random ...

  6. 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.

  7. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    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, 2011 — 3132 150.3 No 225 M2090 GPU Computing Module [15] July 25 ...

  8. Blackwell (microarchitecture) - Wikipedia

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

    Blackwell is a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to the Hopper and Ada Lovelace microarchitectures.. Named after statistician and mathematician David Blackwell, the name of the Blackwell architecture was leaked in 2022 with the B40 and B100 accelerators being confirmed in October 2023 with an official Nvidia roadmap shown during an investors ...

  9. Hopper (microarchitecture) - Wikipedia

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

    Hopper is a graphics processing unit (GPU) microarchitecture developed by Nvidia. It is designed for datacenters and is used alongside the Lovelace microarchitecture. It is the latest generation of the line of products formerly branded as Nvidia Tesla , now Nvidia Data Centre GPUs.