FM News
Founder Mode reads
Architect for massive state storage before your AI agents hit scale
◆ 85RelevanceOn a story from OpenAI1mo 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.
More from FM News
Most of Anthropic’s Q3 revenue came from models that barely existed six months ago1 pts · The New StackAnthropic’s IPO filing reveals its strategy for keeping enterprise customers hooked1 pts · TechCrunch AISpaceX locks in $40B GPU financing deal with Apollo1 pts · TechCrunch AI5 Interesting Learnings from Anthropic’s S-1 at $16.3 Billion in Half-Year Revenue: 900% NRR, $6.6M in Revenue Per Employee, and a 10% Adjusted Operating Margin1 pts · SaaStr