Learning Path

Computer Architecture Fundamentals → Design Trade-offs in AI Accelerators

This advanced learning path equips AI hardware designers with the knowledge to understand and design specialized architectures for AI and machine learning workloads. It covers the fundamentals of computer architecture and ML, then dives into dataflow architectures, systolic arrays, and specific implementations like NPUs and TPUs. The path emphasizes the rationale behind architectural choices and the trade-offs involved.