Troubleshooting Guide: Fix Ollama CPU-Only Inference to Use GPU

One of the most common frustrations in local LLM deployment is discovering that inference is running on CPU when GPU hardware is available. Ollama users frequently encounter this issue, where the runtime fails to automatically detect or utilize available GPU acceleration, resulting in dramatically slower inference speeds and wasted computational potential.

Proper GPU utilization is critical for practical local deployment, as CPU-only inference can be 10-50x slower depending on the model size and available hardware. This guide addresses a fundamental deployment challenge that affects many practitioners who have invested in GPU hardware but aren't seeing the performance benefits they expected.

Having reliable, documented solutions for GPU acceleration issues helps practitioners troubleshoot deployment problems quickly and ensure their hardware investments deliver actual performance gains for local LLM inference.

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Source: PaidFreeDroid · Relevance: 8/10