Motivation.As artificial intelligence(AI)workloads escalate exponentially,ultra-thin,high-efficiency voltage regulator modules(VRMs)with exceptional power density become essential for backside-mounted configurations[1...Motivation.As artificial intelligence(AI)workloads escalate exponentially,ultra-thin,high-efficiency voltage regulator modules(VRMs)with exceptional power density become essential for backside-mounted configurations[1].Thus,highdensity multiphase DC−DC converters are pivotal for implementing vertical power delivery(VPD)architectures in XPU platforms.Strategically positioning these converters beneath processors and maximizing spatial utilization enables core rail currents exceeding 2 kA while significantly reducing the power distribution network(PDN)losses compared to conventional solutions.The VPD configuration elevates system-level energy efficiency with>100 W power saving per processor,yielding megawatt-scale savings in a datacenter that uses~100000 processors.The synergy of 48 V power conversion architectures and advanced packaging techniques enables the industry’s commitment to balancing computational demands with CO_(2)emission reduction and environmental sustainability.展开更多
针对目前新型电力发展存在的统筹协调、能源存储、电力消纳技术受限等问题,利用人工智能(AI)语音控制,在传统的风光互补基础上,提出了新型电力多能互补创新实践方案。系统选用3台西门子S7-200 Smart CPU SR40作为控制单元,结合S7以太网...针对目前新型电力发展存在的统筹协调、能源存储、电力消纳技术受限等问题,利用人工智能(AI)语音控制,在传统的风光互补基础上,提出了新型电力多能互补创新实践方案。系统选用3台西门子S7-200 Smart CPU SR40作为控制单元,结合S7以太网通信技术和传感器检测技术,建立了以水力发电站为主站、风力发电站和光伏发电站为从站的网络拓扑设计,通过不断优化程序不仅实现了新型电力手动、自动控制,而且创新融入AI语音功能,并采用8421BCD编码将语音逻辑转化为工业控制命令,增添了更加灵活的控制方案。实践证明,风光水绿能的综合场景协调控制,能解决新型电力时空发展不协调的问题,实现多能互补、时空互融的创新应用,有效助力“双碳”目标实现,促进新能源高质量发展。展开更多
文摘Motivation.As artificial intelligence(AI)workloads escalate exponentially,ultra-thin,high-efficiency voltage regulator modules(VRMs)with exceptional power density become essential for backside-mounted configurations[1].Thus,highdensity multiphase DC−DC converters are pivotal for implementing vertical power delivery(VPD)architectures in XPU platforms.Strategically positioning these converters beneath processors and maximizing spatial utilization enables core rail currents exceeding 2 kA while significantly reducing the power distribution network(PDN)losses compared to conventional solutions.The VPD configuration elevates system-level energy efficiency with>100 W power saving per processor,yielding megawatt-scale savings in a datacenter that uses~100000 processors.The synergy of 48 V power conversion architectures and advanced packaging techniques enables the industry’s commitment to balancing computational demands with CO_(2)emission reduction and environmental sustainability.
文摘针对目前新型电力发展存在的统筹协调、能源存储、电力消纳技术受限等问题,利用人工智能(AI)语音控制,在传统的风光互补基础上,提出了新型电力多能互补创新实践方案。系统选用3台西门子S7-200 Smart CPU SR40作为控制单元,结合S7以太网通信技术和传感器检测技术,建立了以水力发电站为主站、风力发电站和光伏发电站为从站的网络拓扑设计,通过不断优化程序不仅实现了新型电力手动、自动控制,而且创新融入AI语音功能,并采用8421BCD编码将语音逻辑转化为工业控制命令,增添了更加灵活的控制方案。实践证明,风光水绿能的综合场景协调控制,能解决新型电力时空发展不协调的问题,实现多能互补、时空互融的创新应用,有效助力“双碳”目标实现,促进新能源高质量发展。
