February 3, 2025
2 min read
February 3, 2025
2 min read
Looking to install open-source Deepseek locally on your server? Whether you’re a developer experimenting with private AI or a business avoiding API fees, self-hosting Deepseek gives you full control, zero usage costs, and airtight data privacy. This guide walks through hardware requirements, Docker setup, and model training—or skip the hassle and let our experts handle installation.
- Python 3.8+ & Docker:
sudo apt-get update && sudo apt-get install python3 docker.io- CUDA Drivers (For GPU):
sudo apt-get install nvidia-cuda-toolkit
git clone https://github.com/deepseek-ai/deepseek.git cd deepseek && nano config.yaml # Adjust training parameters
nvidia-smi
for optimal performance.Option 1: Hire our installation team to install open-source Deepseek locally on your server.
Option 2: Buy a pre-configured server with pre-installed dependencies and GPU support.
- Docker Permission Errors:
sudo usermod -aG docker $USER && reboot- CUDA Driver Mismatches: Ensure your NVIDIA GPU meets Compute Capability 7.0+.
- Training Failures: Allocate more RAM or upgrade to a GPU-backed server.