英特尔® Memory Resilience Technology

它是一种内存 RAS 技术，用于分析和预测内存故障并隔离故障位

英特尔® Memory Resilience Technology 使用案例

通过我们的多维模型和算法，在微架构级别挖掘和分析内存错误，英特尔® Memory Resilience Technology 可用于：

有缺陷的内存部分检测和报告
预测性页面脱机以隔离故障位
减少不必要的 DIMM 更换和维护工作
减少电子垃圾并延长电子元件寿命

案例研究和白皮书

英特尔® 内存故障预测通过在线机器学习大幅提高了内存可靠性并减少了停机时间。

英特尔® 内存故障预测在发生硬件故障之前利用机器学习发送潜在内存故障警报，因此减少了停机的影响。

Machine Check Architecture Recovery (MCA Recovery)+英特尔内存故障预测助力京东云构建稳定、高效的云服务

ByteDance 的经验评估、故障感知预测指南页面脱机，可预防比传统操作系统策略多 20 倍的 UE。

英特尔® Memory Resilience Technology 通过使用细粒度遥测技术和人工智能，可在数据中心借助预测性故障分析和智能预防来减少内存错误

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解决方案提供商

AMI 通过集成英特尔® Memory Resilience Technology 增强了内存模块支持

了解更多信息

通过面向 Supervyse BMC 固件的 Supervyse Memory/FP 加载项启用内存故障分析和预测功能，减少服务器停机时间。

文章和论文

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相关新闻报道

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通知和免责声明

英特尔不负责控制或审核第三方数据。您应参考其他信息来源以评估准确性。

通过使用英特尔® 内存故障预测提供的内存故障预测结果是估算值，可能因系统硬件、软件或配置的不同而不同。结果是利用多维模型和算法推导出的，用于预测潜在的内存故障，并不构成有关内存故障的表示或保证。

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