Distributing Large ML Assets (data/features) to a Separate Server - Using tar, scp, and MD5 Verification
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📝 Originally published (in Japanese) at forge.workstyle.tech . Moving a Voice Conversion App to a Separate Server: Handling Large Binary Assets When migrating a voice conversion app to a separate server, you'll inevitably face this dilemma: Precomputed features and anchor embeddings—those hundreds of megabytes of binary files—can't go in git. But the server absolutely needs them. While your code can live in git, placing heavy generated artifacts like data/ or features/ in the repository is bad…
1Key Takeaways
- 📝 Originally published (in Japanese) at forge.workstyle.tech .
- Moving a Voice Conversion App to a Separate Server: Handling Large Binary Assets When migrating a voice conversion app to a separate server, you'll inevitably face this dilemma: Precomputed features and anchor embeddings—those hundreds of megabytes of binary files—can't go in git.
- But the server absolutely needs them.
- While your code can live in git, placing heavy generated artifacts like data/ or features/ in the repository is bad….
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that 📝 Originally published (in Japanese) at forge.workstyle.tech .
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