Intel® Memory Resilience Technology
A memory RAS technology to analyze and predict memory failures and isolate fault bits.
Intel® Memory Resilience Technology Use Case
Through our multi-dimensional model and algorithms, memory errors are mined and analyzed at the micro-architectural level, Intel® Memory Resilience Technology can be used for:
- Defective memory part detection & report.
- Predictive page offlining to isolate fault bits.
- Reducing unnecessary DIMM replacement and maintenance efforts.
- Reducing e-waste and extend electric component life.
Case Studies and White Papers
SK hynix: Intel® Memory Resilience Technology
Using artificial intelligence for predictive memory failure analysis can help data centers reduce memory errors.
Tencent: Intel® Memory Failure Prediction at Tencent
Intel® Memory Failure Prediction substantially improves memory reliability through online machine learning and reduces downtime.
Meituan: Intel® Memory Failure Prediction Improves Reliability
Intel® Memory Failure Prediction uses machine learning to send potential memory failure alerts prior to hardware failure and thus reducing impact of downtime.
Alibaba Cloud: Intel® Memory Resilience Technology Improve DDR5 Reliability
Empowering Alibaba Cloud to maximize DDR5 memory reliability through AI-assisted failure analysis in BMC.
ByteDance: Fault-Aware Prediction-Guided Page Offlining for Uncorrectable Memory Error Prevention
Empirical evaluation in ByteDance, fault-aware prediction-guide page offlining prevents 20X more UEs than the traditional OS policy.
Samsung: Improving Memory Reliability at Data Centers
Intel® Memory Resilience Technology reduces memory errors at data centers with predictive failure analysis and intelligent prevention using fine grain telemetry and artificial intelligence.
AMI
AMI enhanced memory module support through integrated Intel® Memory Resilience Technology.
Articles and Papers
Using AI to Boost Data Center Uptime and Lower TCO
February 9, 2021 | George Clement, and Zachary Bobroff
How Memory Failure Prediction Keeps Data Centers and the Digital Economy Up and Running
December 3, 2020 | Jeff Klaus, Data Center News
Notices and Disclaimers
Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy.
Memory failure prediction results provided through the use of Intel MFP are estimated and may vary based on differences in system hardware, software, or configuration. Results are derived using multi-dimensional models and algorithms to predict potential memory failures and do not constitute a representation or guarantee regarding memory failure.