LLM System Design Interview, issue 6, Nov 5, 2025

When Memory Becomes the Enemy

AI Engineer interview at Meta, and the interviewer asks:

We all know KV Caching speeds up token generation. What’s the primary bottleneck this technique creates in a high-throughput production system, and how do you conceptually solve it?

Don’t say: It’s an optimization that stops the model from re-computing the Key/Value states for all previous tokens. It makes inference faster by reducing O(n^2) compute to O(n).

KV caching solves compute - and creates a VRAM fragmentation nightmare. How PagedAttention turns GPUs into miniature operating systems.

The full answer, with the mechanism and the arithmetic, is for paid subscribers on Substack.

Read it on Substack

Get the next one

Free on Substack. Unsubscribe in one click.