The AI Magic Trick Is Actually a Memory Problem
Most of what looks like “intelligence” in LLMs is actually a sophisticated memory management problem. vLLM’s breakthrough — treating the KV cache like an operating system pages memory — reveals that the next wave of AI gains won’t come from bigger models, but from smarter cache design. The battle between radix attention and paged attention is the real frontier, and whoever masters memory hierarchy will dominate the next decade of AI.