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Building, launching, and scaling ChatGPT Images
- ChatGPT Images experienced rapid growth, with 100M new users signing up in the first week after its launch in March.
- Engineering leaders Sulman Choudhry and Srinivas Narayanan share insights on the ChatGPT Images project.
- Challenges included unexpected load, rewriting image generation to asynchronous, and ensuring reliability.
- The launch went viral in India, with popular figures using the GPT for image generation.
- The team experienced high traffic, reaching 1M new sign-ups per hour and 700M images generated in the first week.
- The technology stack for ChatGPT Images includes Python, FastAPI, C, and Temporal for asynchronous workflows.
- Adapting to peak loads, the team rewrote the image generation engine to handle asynchronous requests and maintain service availability.
- Isolating systems and improving performance were important for managing reliability challenges under high load.
- The team prioritized accessibility over latency during high traffic periods to ensure platform usability.
- Efforts to optimize code, improve system efficiency, and increase capacity led to a successful and reliable ChatGPT Images launch.
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