How agentic AI can strain modern memory hierarchies

You can't cheaply recompute without re-running the whole model - so KV cache starts piling up

Feature Large language model inference is often stateless, with each query handled independently and no carryover from previous interactions. A request arrives, the model generates a response, and the computational state gets discarded. In such AI systems, memory grows linearly with sequence length and can become a bottleneck for long contexts....