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How PCIe Specs Can Help Build Machine-Learning Accelerators (Download)

Jan. 12, 2022

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Machine-learning (ML), especially deep-learning (DL)-based solutions, are penetrating all aspects of our personal and business lives. ML-based solutions can be found in agriculture, media and advertising, healthcare, defense, law, finance, manufacturing, and e-commerce. On a personal basis, ML touches our lives when we read Google news, play music from our Spotify playlists, in our Amazon recommendations, and when we speak to Alexa or Siri.

Due to the wide usage of machine-learning techniques in business and consumer use cases, it’s evident that systems offering high performance with low total cost of operation for ML applications will be quite attractive to customers deploying such applications. Consequently, there’s a rapidly growing market for chips that efficiently process ML workloads.


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