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

AMIa global leader in powering, managing and securing the world’s connected digital infrastructure through its BIOS, BMC and security solutions, is pleased to announce support for Intel Memory Failure Protection (Intel MFP) capabilities in its Aptio® V UEFI Firmware and MegaRAC® BMC Firmware.

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Intel MFP, optimized for Intel Xeon Scalable platforms, is specifically designed to improve customers’ datacenter uptime and total cost of operation (TCO) by predicting DDR4 memory failures. For Aptio V UEFI Firmware, the Intel MFP solution comes in the form of the IntelMfpSupport eModule and includes OEM IPMI command additions. For MegaRAC BMC Firmware this support is available as an Option Pack, which includes code to process the memory errors complemented by the DIMM Health Assessment Model (DHAM) from Intel, along with periodic module updates.

As part of this initiative, AMI is authorized to provide the same world-class technical support for the Aptio V eModule and the MegaRAC Option Pack that is represented by all AMI products. Moreover, both AMI and Intel will continue to offer information and training for customers considering integration of these value-added firmware solutions.

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The Benefits of Intel MFP
DIMM failures are one of the most common causes of server downtime, notorious for severely impacting system reliability, availability and serviceability (RAS). These failures can be caused by a wide range of sources beyond normal use, such as manufacturing defects or extreme environmental or operating conditions. While currently accepted techniques such as Error Correcting Code (ECC) and correctable errors threshold-based Predictive Failure Analysis (PFA) help overcome some correctable errors with DIMM, they have cost, reliability, coverage and performance implications – and cannot help to overcome uncorrectable errors.

As a more complete solution, Intel MFP features several innovative and original capabilities. It predicts micro-level failures in rows, columns and cells based on historical data, using a low-overhead online learning method to improve its prediction accuracy and avoid interfering with critical compute tasks. This also enables Intel MFP to generate an estimated memory health score for proactive memory failure management.

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