Getting DeepSeek-OCR Working on an Nvidia Spark via Brute Force with Claude Code
2 days ago
- #DeepSeek-OCR
- #Claude Code
- #NVIDIA Spark
- DeepSeek-OCR, a 6.6GB model fine-tuned for OCR, was successfully run on an NVIDIA Spark using Claude Code.
- The process involved setting up a Docker container, installing necessary tools, and using Claude Code to automate the setup and execution.
- Initial attempts failed due to PyTorch version incompatibility with the NVIDIA GB10 GPU, but switching to PyTorch 2.9.0 resolved the issue.
- Different OCR prompts were tested, with varying results in speed and output quality.
- The entire process took less than 40 minutes, with minimal active involvement from the user.
- Claude Code generated extensive notes and documentation, including performance benchmarks and prompt comparisons.
- The project demonstrated the effectiveness of agentic loops and the importance of providing clear instructions and the right environment.
- VS Code was used to monitor the Docker container in real-time, enhancing the debugging and observation process.