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Artificial Intelligence (AI) Chips

  • Posted By
    10Pointer
  • Categories
    Science & Technology
  • Published
    25th May, 2022

Context

Recently, Intel launched new Artificial Intelligence (AI) chips to provide customers with deep learning compute choices for training and inferencing in data centres.

What are AI chips?

  • AI chips are built with specific architecture and have integrated AI acceleration to support deep learning-based applications.
  • These chips have hardware architectures and complementary packaging, memory, storage and interconnect technologies which make it possible to infuse AI into a broad spectrum of applications.
  • There are different types of AI chips such as:
    • Application-specific integrated circuits (ASICs), 
    • Field-programmable gate arrays (FPGAs), 
    • Central processing units (CPUs) 
    • GPUs

What is Deep Learning?

  • Deep learning, more commonly known as active neural network (ANN) or deep neural network (DNN), is a subset of machine learning and comes under the broader umbrella of AI.
  • It combines a series of computer commands or algorithms that stimulate activity and brain structure.
  • Deep learning can make the process of collecting, analysing, and interpreting enormous amounts of data faster and easier.

Significance

  • AI chips generally contain processor cores as well as several AI-optimised cores (depending on the scale of the chip) that are designed to work in harmony when performing computational tasks. 
  • The AI cores are optimised for the demands of heterogeneous enterprise-class AI workloads with low-latency inferencing, due to close integration with the other processor cores, which are designed to handle non-AI applications.

Verifying, please be patient.

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