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  2. AMD Instinct - Wikipedia

    en.wikipedia.org/wiki/AMD_Instinct

    AMD Instinct is AMD's brand of data center GPUs. [1] [2] It replaced AMD's FirePro S brand in 2016.Compared to the Radeon brand of mainstream consumer/gamer products, the Instinct product line is intended to accelerate deep learning, artificial neural network, and high-performance computing/GPGPU applications.

  3. 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.

  4. 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 ...

  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. Hardware for artificial intelligence - Wikipedia

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

    OpenAI estimated the hardware compute used in the largest deep learning projects from Alex Net (2012) to Alpha Zero (2017), and found a 300,000-fold increase in the amount of compute needed, with a doubling-time trend of 3.4 months. [8] [9]

  7. Deep learning super sampling - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_super_sampling

    DLSS uses machine learning to combine samples in the current frame and past frames, and it can be thought of as an advanced and superior TAA implementation made possible by the available tensor cores. [13] Nvidia also offers deep learning anti-aliasing (DLAA). DLAA provides the same AI-driven anti-aliasing DLSS uses, but without any upscaling ...

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