Why did NVIDIA split consumer and datacenter architectures?

Starting in 2022, NVIDIA released separate architectures for consumer (Ada Lovelace) and datacenter (Hopper) GPUs. This allows each architecture to be optimized for its workload: Ada focuses on ray tracing and gaming, while Hopper focuses on Tensor Cores and AI training. Datacenter GPUs need features like enhanced FP64 precision, error correction, and NVLink that gamers don't need.