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- 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:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.There are three main types of AI chips: graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and application specific integrated circuits (ASICs).edged.ai/blog/ai-chips/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… - People also ask
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