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  2. Hardware for artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Hardware_for_artificial...

    This article needs attention from an expert in artificial intelligence.The specific problem is: Needs attention from a current expert to incorporate modern developments in this area from the last few decades, including TPUs and better coverage of GPUs, and to clean up the other material and clarify how it relates to the subject.

  3. Nvidia DGX - Wikipedia

    en.wikipedia.org/wiki/Nvidia_DGX

    Announced March 2024, GB200 NVL72 connects 36 Grace Neoverse V2 72-core CPUs and 72 B100 GPUs in a rack-scale design. The GB200 NVL72 is a liquid-cooled, rack-scale solution that boasts a 72-GPU NVLink domain that acts as a single massive GPU . Nvidia DGX GB200 offers 13.5 TB HBM3e of shared memory with linear scalability for giant AI models ...

  4. General-purpose computing on graphics processing units

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

    GPU performance benchmarked on GPU supported features and may be a kernel to kernel performance comparison. For details on configuration used, view application website. Speedups as per Nvidia in-house testing or ISV's documentation. ‡ Q=Quadro GPU, T=Tesla GPU. Nvidia recommended GPUs for this application.

  5. GeForce 40 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_40_series

    The GeForce 40 series is the most recent family of consumer-level graphics processing units developed by Nvidia, succeeding the GeForce 30 series.The series was announced on September 20, 2022, at the GPU Technology Conference (GTC) 2022 event, and launched on October 12, 2022, starting with its flagship model, the RTX 4090.

  6. 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.” [30] An April 2023 paper by Google claims TPU v4 is 5-87% faster than an Nvidia A100 at machine learning ...

  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 ...

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