According to Fireworks CEO Lin Qiao's recent statement, the platform distinguishes between two service types regarding data retention. For regular AI inference (Chat Completions, Nexus, and serverless training), Fireworks does not long-term store user inputs and outputs, supporting zero data retention (ZDR). However, for batch processing tasks, the platform retains uploaded datasets until customers manually delete them, as the system cannot determine when the data is no longer needed. Qiao emphasized that OpenAI, AWS, and Google follow similar design patterns for batch operations. Enterprise customers can enable full-account zero retention limits to reject batch tasks and file uploads requiring data storage, though this setting is disabled by default.
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