The LLM Interview Series #1: What exactly is the KV Cache?

========================================================== Preparing for AI, ML, or LLM infrastructure interviews? Practice real interview-style questions here: https://interview.vizuara.ai/ ========================================================== LLM Interview Series #1: What Exactly Is the KV Cache? The KV cache is one of the important LLM inference questions that comes up often in Meta, Google, OpenAI-style AI infrastructure and inference engineer interviews. It sounds introductory: “What is the key-value cache?” But many candidates get it wrong. They know that the KV cache “makes generation faster,” but they don’t understand what is actually being cached, why keys and values matter, how autoregressive decoding uses them, or what is happening at the matrix level inside attention. In this video, we break down the KV cache from first principles on the blackboard: What keys, values, and queries mean in self-attention Why decoding one token at a time is expensive What exactly gets stored in the KV cache How the cache avoids recomputing past tokens Why KV cache memory becomes a major bottleneck in LLM serving If you’re preparing for LLM inference, AI infra, ML systems, or GenAI engineering interviews, this is one of the first concepts you should truly understand. ========================================================== Preparing for AI, ML, or LLM infrastructure interviews? Practice real interview-style questions here: https://interview.vizuara.ai/ ========================================================== #LLMInterview #KVCache #AIInfrastructure #LLMInference #MachineLearning