In this chapter, we explore the specialized hardware accelerators designed to enhance artificial intelligence (AI) applications, focusing on their necessity, development, and impact on the AI field. It covers the transition from traditional computing systems to advanced AI-specific hardware, addressing the growing demands of AI algorithms and the inefficiencies of conventional architectures. The discussion extends to various types of accelerators, including GPUs, FPGAs, and ASICs, and their roles in optimizing AI workloads. Additionally, it touches on the challenges and considerations in designing and implementing these accelerators, along with future prospects in the evolution of AI hardware. This comprehensive overview aims to provide readers with a clear understanding of the current state and future trends in AI hardware development, ensuring it is accessible to both experts and beginners in the field.

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Hardware Accelerators for Artificial Intelligence

  • S. M. Mojahidul Ahsan,
  • Tamzidul Hoque,
  • Md Sakib Hasan,
  • Mrittika Chowdhury,
  • Anurag Dhungel

摘要

In this chapter, we explore the specialized hardware accelerators designed to enhance artificial intelligence (AI) applications, focusing on their necessity, development, and impact on the AI field. It covers the transition from traditional computing systems to advanced AI-specific hardware, addressing the growing demands of AI algorithms and the inefficiencies of conventional architectures. The discussion extends to various types of accelerators, including GPUs, FPGAs, and ASICs, and their roles in optimizing AI workloads. Additionally, it touches on the challenges and considerations in designing and implementing these accelerators, along with future prospects in the evolution of AI hardware. This comprehensive overview aims to provide readers with a clear understanding of the current state and future trends in AI hardware development, ensuring it is accessible to both experts and beginners in the field.