Running DeepSeek R1 on consumer GPUs has become a practical option for developers who want local reasoning capabilities without relying on cloud APIs. This article provides head-to-head benchmark data comparing NVIDIA's RTX 4090 against Apple's M3 Max across multiple model sizes and quantization levels, with reproducible setup instructions and a benchmarking script for independent validation. Table of Contents Why Run DeepSeek R1 Locally? DeepSeek R1 Model Variants and Hardware Requirements Test Hardware and Software Setup Benchmark Results: Side-by-Side Performance Quantization Impact on Reasoning Quality Inference Framework Comparison: Ollama vs. vLLM vs. MLX Practical Recommendations: Which GPU Should You Choose? Tips for Optimizing Local DeepSeek R1 Performance The Verdict Why Run DeepSeek R1 Locally? Running DeepSeek R1 on consumer GPUs has become a practical option for developers who want local reasoning capabilities without relying on cloud APIs. Data never leaves the machine.…