Generating text with large language models (LLMs) often involves running into a fundamental bottleneck. GPUs offer massive compute, yet much of that power sits…
Generating text with large language models (LLMs) often involves running into a fundamental bottleneck. GPUs offer massive compute, yet much of that power sits idle because autoregressive generation is inherently sequential: each token requires a full forward pass, reloading weights, and synchronizing memory at every step. This combination of memory access and step-by-step dependency raises…
