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Running DeepSeek-OCR on NVIDIA Spark Hardware Using Claude Code Automation

By

simonw

7mo ago· 10 min readen

Summary

The author describes successfully getting DeepSeek-OCR, a new 6.6GB optical character recognition model released by DeepSeek, running on NVIDIA Spark hardware using Claude Code in an automated, agentic approach. The project took about 40 minutes and involved overcoming hardware compatibility challenges through an iterative problem-solving loop where Claude Code handled the technical implementation while the author focused on higher-level direction.

Key quotes

· 4 pulled
DeepSeek released a new model yesterday: DeepSeek-OCR, a 6.6GB model fine-tuned specifically for OCR.
I got it running on the NVIDIA Spark by having Claude Code effectively brute force the challenge of getting it working on that particular hardware.
This small project (40 minutes this morning, most of which was Claude Code churning away while I had breakfast and did some other things) ties together a bunch of different concepts I've been exploring recently.
I designed an agentic loop for the problem, gave Claude Code the task, and it handled the implementation while I provided direction.
Snippet from the RSS feed
DeepSeek released a new model yesterday: DeepSeek-OCR, a 6.6GB model fine-tuned specifically for OCR. They released it as model weights that run using PyTorch and CUDA. I got it running …

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