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  1. Intel® Memory Resilience Technology (as known as Intel® Memory Failure Prediction)

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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

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.

JD Cloud: Intel® Memory Failure Prediction at JD Cloud

Machine Check Architecture Recovery (MCA Recovery) + Intel MFP helps JD Cloud provide efficient and stable services.

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

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Solution Providers

AMI

AMI enhanced memory module support through integrated Intel® Memory Resilience Technology

Learn more

Supervyse® Memory/FP™ with Intel® Memory Resilience Technology

Reduce server downtime by enabling memory failure analysis and prediction with Supervyse Memory/FP add-in for Supervyse BMC firmware.

Insyde

Articles and Papers

Predicting Uncorrectable Memory Errors for Proactive Replacement: An Empirical Study on Large-Scale Field Data. In Proceeding of the Sixteenth European Dependable Computing Conference

EDCC’20

View article

Combining Error Statistics with Failure Prediction in Memory Page Offlining. In Proceedings of the Fifth Annual International Symposium on Memory Systems

(MEMSYS 2019), 127-132

View article

Memory Failure Prediction Using Online Learning. In Proceedings of the Fourth Annual International Symposium on Memory Systems

(MEMSYS 2018), 38-49

View article

Fault-Aware Prediction-Guided Page Offlining for Uncorrectable Memory Error Prevention

(ICCD 2021)

View paper

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In the News

Using AI to Boost Data Center Uptime and Lower TCO

February 9, 2021 | George Clement, and Zachary Bobroff

View article

Insyde® Software Launches Predictive Memory Failure Software Solution

December 17, 2020

View article

How Memory Failure Prediction Keeps Data Centers and the Digital Economy Up and Running

December 3, 2020 | Jeff Klaus, Data Center News

View article

AMI Announces Support for Intel Memory Failure Prediction Capabilities in Aptio V UEFI Firmware and MegaRAC BMC Firmware

November 16, 2020

View article

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Contact us

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.

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