IMHO the current bottleneck is driven by the partial overlap between the gaming GPU market and machine learning needs. The expensive things that are needed by b

IMHO the current bottleneck is driven by the partial overlap between the gaming GPU market and machine learning needs. The expensive things that are needed by both (i.e. parallel calculations) are included in all cards, but expensive things that aren't needed by games (i.e. memory bandwidth) become a bottleneck unless you use expensive ML-specific niche hardware instead of consumer (gamer) GPUs.