Dynamic Trim Settings for Memory Devices
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Solution Overview
Problem
Existing memory devices are limited by fixed trim settings that do not adapt to changing use cases, leading to suboptimal performance and reliability, as they cannot dynamically adjust voltage and timing settings based on environmental or operational factors such as temperature, usage patterns, and manufacturing shifts.
Innovation Solution
The implementation of artificial intelligence (AI) circuitry within memory devices or remote servers to dynamically determine and update trim settings based on how, when, where, and why the memory device is used, utilizing machine learning and external data sources to optimize performance, reliability, and lifespan.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed trim settings are used in memory devices, then device complexity is reduced and ease of manufacture is improved, but performance and reliability deteriorate due to inability to adapt to changing use cases and environmental factors
Solution Approach 1:
The patent implements dynamic trim settings that can be adjusted during operation based on detected use cases and environmental conditions. The memory device transitions from static fixed trim values to dynamic adjustable trim values, allowing the system to adapt voltage and timing parameters in real-time to maintain optimal performance and reliability under varying operational conditions.
Solution Approach 2:
The patent incorporates feedback mechanisms where the memory device monitors its own operational parameters, temperature, and usage patterns. Based on this feedback, the system automatically adjusts trim settings to optimize performance. This closed-loop control enables the memory device to self-correct and adapt without external intervention, improving reliability while managing complexity through intelligent automation.
2Adaptability or versatility
If fixed trim settings are used in memory devices, then manufacturing process simplicity is maintained, but adaptability to different use cases and environmental conditions deteriorates
Solution Approach 1:
The patent enables changeable operational parameters (trim settings) that can be modified after manufacturing based on detected use cases. The memory device stores multiple trim settings and selectively applies them based on operational conditions, allowing the same hardware to adapt to different use cases without requiring different manufacturing processes for each application scenario.
Solution Approach 2:
The patent creates a universal memory device platform that can serve multiple use cases through software-controlled trim adjustments. Rather than manufacturing different hardware variants for different applications, the system uses a single versatile platform that adapts its parameters based on the detected use case, thereby improving adaptability while maintaining manufacturing simplicity.
3Productivity
If dynamic AI-based trim setting adjustments are implemented, then performance and reliability are enhanced through real-time optimization, but device complexity and manufacturing difficulty increase
Solution Approach 1:
The patent implements self-service functionality where the memory device autonomously monitors its own performance, detects use cases, and adjusts its trim settings without external intervention. The system uses onboard intelligence to self-optimize its operational parameters, improving performance while minimizing the need for complex external control systems or manual configuration.
Solution Approach 2:
The patent incorporates preliminary characterization data collected during manufacturing and initial use to pre-configure optimal trim settings for different use cases. This preliminary action enables the system to quickly adapt to new conditions by referencing pre-analyzed performance data, reducing the computational complexity required for real-time adjustments while maintaining high performance.
Data Source
AI summary
An apparatus can include an array of memory cells and control circuitry coupled to the array of memory cells. The control circuitry can be configured to store a number of trim settings and receive signaling indicative of a use of the array of memory cells. The control circuitry can be configured to determine an adjustment to the number of trim settings based at least in part on the signaling.


