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  2. AI chips are specialized hardware for AI applications123.The main types of AI chips are123:
    • Graphics processing units (GPUs), which are good for parallel processing and deep learning.
    • Field-programmable gate arrays (FPGAs), which are flexible and reconfigurable chips that can be customized for specific tasks.
    • Application-specific integrated circuits (ASICs), which are optimized for high performance and low power consumption for a particular function.
    Learn more:
    There are three main types of AI chips: graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and application specific integrated circuits (ASICs).
    There are different types of AI chips such as application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), central processing units (CPUs) and GPUs, designed for diverse AI applications.
    www.civilsdaily.com/news/what-are-artificial-intellig…
    AI chips include graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and application-specific integrated circuits (ASICs) that are specialized for AI. General-purpose chips like central processing units (CPUs) can also be used for some simpler AI tasks, but CPUs are becoming less and less useful as AI advances.
    cset.georgetown.edu/publication/ai-chips-what-the…
     
  3. People also ask
    Which companies have AI chips?They also make AI chips such as Volta, Xavier, and Tesla.Their chipsets are designed to solve business problems in various industries.For instance, Xavier is the basis for an autonomous driving solution,
    Includes AI generated content
     
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    WEBFeb 28, 2023 · Aditya Joshi. Related To: Stratview Research. What you’ll learn: What are the different components of AI chips and how do they function? What are the differences between CPU, GPU, FPGA, and...

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