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Home/Glossary/Zero Data Retention
AI Glossary Term

What does “Zero Data Retention” mean?

Definition

A policy where request/response payloads are not stored after processing beyond short-lived operational windows.

Related terms

Sparse Model
A model where many parameters are zero or inactive to reduce computation.
Algorithmic Transparency
How clearly an AI system's logic, data sources, and limitations are documented and understandable.
Big Data
Very large and complex datasets that require scalable storage and processing techniques.
Convolutional Neural Network (CNN)
A neural architecture optimized for processing grid-like data such as images.
Inference-Time Compute
The amount of processing power consumed while producing each response.
Prompt Injection
An attack pattern where malicious instructions are inserted into model inputs or retrieved content.

Learn more in our free guides

AI & DataVector DatabasesSynthetic DataAI Data Governance

See also

Usage-Based BillingSpeculative DecodingTrust CalibrationKV CacheTest-Time ComputeMCP (Model Context Protocol)Structured OutputAgentic Loop
PreviousUsage-Based BillingNextSpeculative Decoding
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