Linux Significantly Outperforms Windows for Local LLM Inference

A direct performance comparison on identical hardware—64GB DDR4, RTX 8000 48GB, and Core i9 9900K—demonstrates substantial inference speed advantages on Linux versus Windows. The user reinstalled their setup with Windows 10 and compared results using the latest Ollama build, revealing significant performance deltas between the two operating systems.

This finding has direct practical implications for anyone deploying local LLMs. The performance gap likely stems from differences in GPU driver optimization, system scheduling, memory management, and how inference frameworks like Ollama utilize hardware acceleration on each platform. For practitioners building production systems or maximizing throughput on fixed hardware, operating system choice becomes a first-order optimization variable.

Given the resources often constrained in local deployment scenarios, a 20-40% performance improvement (typical in such comparisons) represents substantial gains in tokens-per-second or context length capabilities without additional hardware investment. This reinforces Linux (particularly Ubuntu LTS) as the preferred platform for serious local LLM deployment work.

Source: r/LocalLLaMA · Relevance: 8/10