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Architect for massive state storage before your AI agents hit scale
◆ 85RelevanceOn a story from OpenAI10h ago
As AI usage shifts from ephemeral chats to persistent agents, state management becomes a primary scaling hurdle. You must decide early whether to build custom distributed storage or risk massive infrastructure debt as context history grows.
Takeaways
- Context and history storage is a primary bottleneck for scaling AI applications.
- Standard database architectures may struggle with the state requirements of persistent agents.
- Evaluate distributed storage strategies before your user base hits critical mass.
Read the original at openai.com
Rapidly scaling online storage to serve over 1 billion ChatGPT users
fmode.me/n/rapidly-scaling-online-storage-to-serve-over-1-billion-chatgpt-users
Written by Founder Mode using gemini-3-flash-preview, from the publisher's own summary. We link the original rather than reproduce it — the reporting belongs to OpenAI.
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