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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. Hardware for artificial intelligence - Wikipedia

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

    Specialized computer hardware is often used to execute artificial intelligence (AI) programs faster, and with less energy, such as Lisp machines, neuromorphic engineering, event cameras, and physical neural networks. Since 2017, several consumer grade CPUs and SoCs have on-die NPUs. As of 2023, the market for AI hardware is dominated by GPUs. [1]

  4. Nvidia DGX - Wikipedia

    en.wikipedia.org/wiki/Nvidia_DGX

    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, less than its predecessor DGX GH200.

  5. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA is a proprietary [1] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.

  6. Artificial intelligence engineering - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    Education in AI engineering typically involves advanced courses in software and data engineering. Key topics include machine learning, deep learning, natural language processing and computer vision. Many universities now offer specialized programs in AI engineering at both the undergraduate and postgraduate levels, including hands-on labs ...

  7. Tesla Dojo - Wikipedia

    en.wikipedia.org/wiki/Tesla_Dojo

    Tesla Dojo is a supercomputer designed and built by Tesla for computer vision video processing and recognition. [1] It is used for training Tesla's machine learning models to improve its Full Self-Driving (FSD) advanced driver-assistance system.

  8. Mali (processor) - Wikipedia

    en.wikipedia.org/wiki/Mali_(processor)

    On February 2, 2013, Verhaegen demonstrated Quake III Arena in timedemo mode, running on top of the Lima driver. [159] In May 2018, a Lima developer posted the driver for inclusion in the Linux kernel. [160] In May 2019, the Lima driver became part of the mainline Linux kernel. [161] The Mesa userspace counterpart was merged at the same time.

  9. Nvidia GTC - Wikipedia

    en.wikipedia.org/wiki/Nvidia_GTC

    Nvidia GTC (GPU Technology Conference) is a global artificial intelligence (AI) conference for developers that brings together developers, engineers, researchers, inventors, and IT professionals. [1] Topics focus on AI, computer graphics , data science , machine learning and autonomous machines .