RealFeedApp LM Studio Docker image works on NVIDIA GPU
Testing on a single RTX 3090 showed Ollama loses to LM Studio in speed and load times, but wins on simplicity for always-on servers. Both tools use the same Qwen3.5 GGUF file, yet LM Studio provides faster model access.
- Field
- applying language models
- What they did
- Researchers compared the speed and resource usage of two local language model programs, LM Studio and Ollama, by running identical Qwen3.5 model files on an RTX 3090 in Linux.
- Why it matters
- The test results indicate that Ollama is the simpler choice for an always-on home server, while LM Studio offers an alternative approach with Docker support for NVIDIA.
#ollama#llama.cpp#llm#linux#performance
