An LLM inference server has enough total free memory to accommodate a new user request, but it fails to allocate the necessary KV cache, resulting in an out-of-memory error. However, a different server with the same amount of free memory but equipped with a block-based caching mechanism successfully processes the same request. Based on the principles of memory management for attention mechanisms, explain the most likely reason for this difference in outcomes.