当前位置:首页 > 报告详情

超算集群网络管理神器 — UFM Cyber-AI.pdf

上传人: li 编号:29478 2021-02-07 26页 2.83MB

1、NVIDIA超算集群网络管理神器UFM CYBER-AlDec 2020#page#Supercomputers Hacked AcrossEurope to Mine CryptocurrencyREVOLUTIONIZINGSUPERCOMPUTING“Cost of Hourly DowntimeIncreases: 889 of Firms Say HourlyInfiniBand Data Center Cyber IntelligenceDowntime Costs Exceed S300k”and Analytics Powered by Artificial Intellige

2、nceTechMarch/April2020Scalablesupercomputers host many application users andvarietyofresearch and simulations jobsBased on ITIC 2020globalserverhardwaresurvey*,88%of firms sayhourly downtime costs exceed S300kUsers may leverage data centeraccess to run prohibitedapplications,resulting in increase of

3、 operation costs and misused of computeresourcesThe new NVIDIA Mellanox UFM Cyber-Al platform combines enhancedand real-time network telemetry with Al-powered cyber Intelligenceandanalytics,to discoveroperationsanomaliesand predict networkfailures for preventive maintenance/cas/DVOxZV6F#page#UFM PLA

4、TFORMS OPTIMIZESUPERCOMPUTING OPEXInfiniBand Data Center Cyber Intelligence andAnalytics Powered by Artificial Intelligence8888Buildarich databasewith real-timenetworktelemetry information.workloadusage,system configuration and more8898Provide enhanced network monitoring and management,workloadoptim

5、izations and periodical configuration checksLearn thesystemsnormal operation,condition,andusageDetect overtime performance degradations or change in conditionsProvide predictive analytics,alerts of abnormal system andapplication behavior,and potential system failuresecurity threats,andaddressfuture

6、failures more efficiently,savingOPEX and maintaining end-user SLASPredictability isoptimizedover time as systemcollecteoUFM Cyber-AlVideo#page#REVOLUTIONIZING SUPERCOMPUTINGAI-Powered InfiniBand Cyber Intelligence and Analytics PlatformMManagementCyber-securityTelemetry and MonitoringPredictive and

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
本文主要介绍了一种名为NVIDIA Mellanox UFM Cyber-AI的网络管理平台,该平台通过增强的网络遥测技术和AI驱动的网络智能分析,实现了对超级计算机集群网络的实时监控和管理。根据ITIC 2020年全球服务器硬件调查,88%的公司表示每小时停机成本超过300万美元。该平台能够构建包含实时网络遥测信息、工作负载使用情况、系统配置等丰富数据的数据库,提供网络性能监控和工作负载优化,并通过学习系统的正常运行状况,检测异常性能下降或条件变化,从而实现预测性维护。此外,UFM平台还能集中管理资产、升级软件,并提供统一界面进行网络配置,有效预防安全威胁,减少操作费用,保持用户服务等级协议(SLA)。
"超算集群如何优化运营成本?" "AI如何预测并预防网络故障?" "如何确保数据中心的安全性和合规性?"
客服
商务合作
小程序
服务号
折叠