For efficiently running DeepSeek Coder, the recommended GPUs vary based on the model size and its VRAM requirements. Here's a summary of the GPU recommendations for different versions of DeepSeek:
1. DeepSeek-R1-Distill-Qwen-1.5B:
- Recommended GPU: NVIDIA RTX 3060 (12GB or higher) for standard performance.
2. DeepSeek-R1-Distill-Qwen-7B:
- Recommended GPU: NVIDIA RTX 4080 (16GB or higher) to handle the model's requirements effectively.
3. DeepSeek-R1-Distill-Qwen-14B:
- Recommended GPU: Multi-GPU setup with NVIDIA RTX 4090 (24GB) for optimal performance.
4. DeepSeek-R1-Distill-Qwen-32B:
- Recommended GPU: Multi-GPU setup with NVIDIA RTX 4090 (24GB or higher) to accommodate the larger model size.
5. For High-End Models (671B):
- A multi-GPU setup is essential, ideally using NVIDIA A100 (80GB) or similar high-performance GPUs to manage extensive VRAM requirements effectively[1][2][3].
In general, if you have access to high-end GPUs, such as the NVIDIA A100 or H100, you can run larger models more efficiently. For those with limited resources, distilled models like the 7B or 14B versions are more manageable and can still deliver significant performance without requiring extensive hardware setups[1][4].
Citations:
[1] https://apxml.com/posts/gpu-requirements-deepseek-r1
[2] https://apxml.com/posts/system-requirements-deepseek-models
[3] https://www.proxpc.com/blogs/gpu-hardware-requirements-guide-for-deepseek-models-in-2025
[4] https://vagon.io/blog/a-step-by-step-guide-to-running-deepseek-r1-on-vagon-cloud-desktops
[5] https://stackoverflow.com/questions/78697403/system-requirements-for-the-deepseek-coder-v2-instruct/78825493
[6] https://www.youtube.com/watch?v=LvHjelv8090
[7] https://dataloop.ai/library/model/bartowski_deepseek-coder-v2-instruct-gguf/
[8] https://digialps.com/run-deepseek-r1-locally-a-full-guide-my-honest-review-of-this-free-openai-alternative/