To run DeepSeek Coder efficiently, the following hardware requirements are recommended:
**Processor: A modern multi-core CPU is essential. An Intel Core i7 from the 8th generation or AMD Ryzen 5 from the 3rd generation is suitable, with a preference for CPUs that have at least 6 to 8 cores and higher clock speeds (3.6 GHz or more) for optimal performance. Support for advanced instruction sets like AVX and AVX2 can further enhance processing capabilities[3][4].
**RAM: At least 16 GB of RAM is necessary, but 32 GB or more is highly recommended for better performance, especially when dealing with larger models[4][7].
**GPU: The GPU requirements vary significantly based on the model size:
- For smaller models (e.g., 7B, 16B), a high-end consumer GPU like the NVIDIA RTX 4090 (with 24 GB VRAM) is sufficient.
- For larger models (e.g., 67B or more), a multi-GPU setup is often required, using enterprise-grade GPUs such as NVIDIA A100 or H100, which have substantial VRAM (80 GB or more per GPU) to handle the computational load effectively[2][4][5][7].
**Disk Space: Sufficient disk space is also crucial, as model weights can require significant storage. Depending on the model, this could range from tens to hundreds of gigabytes. Users should ensure they have adequate free space before downloading model files[6][7].
Overall, for optimal performance with DeepSeek Coder, a combination of a powerful multi-core CPU, ample RAM, and a capable GPU (or multiple GPUs for larger models) is essential.
Citations:
[1] https://stackoverflow.com/questions/78697403/system-requirements-for-the-deepseek-coder-v2-instruct/78825493
[2] https://www.reddit.com/r/selfhosted/comments/1ic8zil/yes_you_can_run_deepseekr1_locally_on_your_device/
[3] https://www.hardware-corner.net/llm-database/Deepseek/
[4] https://dev.to/proflead/deepseek-ai-ai-that-crushed-openai-how-to-use-deepseek-r1-privately-22fl
[5] https://apxml.com/posts/gpu-requirements-deepseek-r1
[6] https://vagon.io/blog/a-step-by-step-guide-to-running-deepseek-r1-on-vagon-cloud-desktops
[7] https://www.proxpc.com/blogs/gpu-hardware-requirements-guide-for-deepseek-models-in-2025
[8] https://dev.to/pavanbelagatti/run-deepseek-r1-locally-for-free-in-just-3-minutes-1e82