DeepSeek-R1 Architecture: Optimizing Local Inference on 8GB VRAM
DeepSeek-R1 Architecture: Optimizing Local Inference on 8GB VRAM Consumer Hardware A technical analysis of deploying reasoning-focused Large Language Models (LLMs) on constrained GPU memory. We explore quantization strategies, inference latency, and the architectural nuances of running DeepSeek-R1 Distilled variants locally. The Paradigm Shift: Localizing Reasoning Engines The release of DeepSeek-R1 marks a pivotal moment in