WHY HARDWARE SPECIALIZATION IS BACK

Summary from the TLDR Dev newsletter

Slower transistor scaling, memory bottlenecks, and power limits are renewing the case for specialized AI inference hardware. Matching different inference phases to different accelerators can improve performance per watt while adding deployment and software complexity and leaving room for GPUs to absorb successful ideas.