Running local Large Language Models (LLMs) via Ollama offers unprecedented privacy and control for tech enthusiasts and enterprise developers alike. However, as you engage in extended multi-turn AI conversations, you might notice your system hardware struggling under sudden, severe memory pressure. This bottleneck rarely stems from the base model weights; instead, the primary culprit is often unconstrained Key-Value (KV) cache memory consumption. When you limit local KV cache RAM usage, you protect your system from brutal Out-of-Memory (OOM) crashes and preserve critical system resources. In this comprehensive guide, we will… Read More
Limit Local KV Cache RAM Usage in Ollama AI
