Wow, Oscar, this sounds really interesting! Reducing cold-start times by up to 90% is a huge improvement for scaling ML models. I'm curious about the implementation details—does Turbo Registry require any specific configurations in existing setups, or is it plug-and-play with current Docker workflows? Also, what kind of use cases have you mainly seen for this solution—are most users focusing on LLMs or more on image/video generation? Would love to understand how it integrates with popular cloud providers as well. Great job on the launch!
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FlowPrompter