Best GPU for Running a Local Coding LLM in 2026
For developers seeking to run coding Large Language Models (LLMs) locally, the choice of GPU is critical. The NVIDIA RTX 4090 with 24GB of VRAM is recommended for running advanced models like DeepSeek Coder 33B, offering speeds sufficient for interactive code generation. A more budget-friendly option, the RTX 4060 Ti 16GB, is suitable for smaller models such as Qwen2.5 Coder 14B and DeepSeek Coder V2 Lite, providing a good balance of performance and cost for everyday coding tasks. AI
IMPACT Enables developers to run powerful coding LLMs locally, reducing reliance on cloud services and potentially lowering costs.