This analysis describes what Cerebras's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
The provision clarifies the data retention scope for core service functions, establishing that ephemeral processing occurs without persistent storage of user interactions. This affects the operational data lifecycle and the extent of data maintained in Cerebras systems after service delivery concludes.
Users operating the training, inference, and chatbot services do so with the understanding that their inputs and outputs will not be retained by Cerebras. This means user-submitted information is processed for immediate service delivery but is not maintained in archived or historical form within company systems.
How other platforms handle this
After registration, you may create, upload or transmit files, documents, videos, images, data or information as part of your use of the Service (collectively, "User Content"). This includes any inputs you provide to our AI-powered support tools and outputs generated in response to your inputs. User ...
You are responsible for your use of the Services and for any Content, including anything referenced therein, you provide, create, post, or otherwise utilize, including any inputs, prompts, outputs, and/or information obtained or created through the Services.
Only models with a post-mitigation score of "medium" or below can be deployed. Only models with a post-mitigation score of "high" or below can be developed further.
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"Your use of the Services, including our training, inference and chatbot Services, provided that we do not retain inputs and outputs associated with our training, inference, and chatbot Services as described in Section 6.— Excerpt from Cerebras's Cerebras Privacy Policy
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The provision clarifies the data retention scope for core service functions, establishing that ephemeral processing occurs without persistent storage of user interactions. This affects the operational data lifecycle and the extent of data maintained in Cerebras systems after service delivery concludes.
Users operating the training, inference, and chatbot services do so with the understanding that their inputs and outputs will not be retained by Cerebras. This means user-submitted information is processed for immediate service delivery but is not maintained in archived or historical form within company systems.
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