Ollama users ask about reclaiming VRAM
A Reddit user weighing a self-hosted local LLM stack with Ollama and Open WebUI asks what happens to GPU and VRAM usage when the assistant goes idle, and whether the model stays loaded between sessions. The post is about the practical cost of keeping a local model ready on a daily-driver desktop and how to reclaim resources after the conversation ends.
The core issue is model residency: users want fast follow-up responses without pinning VRAM all day. Ollama's docs say models stay in memory by default for 5 minutes and can be unloaded immediately with `ollama stop` or `keep_alive=0`, so the backend lifecycle is configurable rather than fixed. This is really about Ollama server behavior more than Open WebUI, and it's a practical question for self-hosting newcomers balancing convenience against desktop resource use.
DISCOVERED
69d ago
2026-03-19
PUBLISHED
69d ago
2026-03-19
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GBAbaby101