How our AI models are loaded, kept in memory and shared on our own hardware, and the settings we chose to avoid slow cold starts and unstable runs.
By Anthony McAniff4 min read
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Pairing one central secrets store with a small sync service keeps credentials out of source control, spares every app a helper process, and syncs changed passwords on a schedule.
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Become a member to readWhy one compact AI computer with a large shared memory pool runs our private AI, what else it does, and how we plan its memory so it stays fast.
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Become a member to readThe foundation under every Blue Sail product: how work is spread over our own machines, restarted when it fails and updated with as little disruption as we can manage.
5 min read
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