Optimization post argues 16GB RTX 4080 runs local LLMs

The author argues that high memory bandwidth is more critical than expensive workstation-grade VRAM when running local large language models. By leveraging modern techniques such as quantization, Multi-Token Prediction, and Mixture of Experts architectures, users can achieve fast inference and efficient model execution on consumer-grade 16GB GPUs like the RTX 4080 or RTX 5060 Ti. Open article →