Technical discussions on Lobste.rs highlight the tension between general-purpose GPUs and domain-specific accelerators. Engineers argue that memory bandwidth remains the primary bottleneck for large-scale inference. This debate suggests that software-defined hardware will dominate. Practitioners should prioritize memory-efficient kernels over raw compute power to optimize current deployment costs.