{"id":88854,"date":"2026-09-28T16:34:06","date_gmt":"2026-09-28T14:34:06","guid":{"rendered":"https:\/\/fhi.nl\/nieuws\/pdus-for-nvidia-hgx-ai-servers\/"},"modified":"2026-09-28T16:34:06","modified_gmt":"2026-09-28T14:34:06","slug":"pdus-for-nvidia-hgx-ai-servers","status":"publish","type":"news","link":"https:\/\/fhi.nl\/en\/news\/pdus-for-nvidia-hgx-ai-servers\/","title":{"rendered":"PDUs for NVIDIA HGX AI Servers"},"content":{"rendered":"<header id=\"header\" class=\"header header--low\">\n\n\t\n\t\t\t<div class=\"header__background header__background--graphic\"><\/div>\n\t\n\t<div class=\"container\">\n\t\t<div class=\"header__content\">\n\t\t\t<div class=\"header__first header__first--alone\">\n\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<h1 class=\"header__title\" >\n\t\t\t\t\tPDUs for NVIDIA HGX AI Servers\t\t\t\t<\/h1>\n\n\t\t\t\t<div class=\"header__dots-line\">\n\t\t\t\t\t<svg width=\"431\" height=\"9\" viewbox=\"0 0 431 9\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M430.799 4.192a1.136 1.136 0 1 1-2.272-.001 1.136 1.136 0 0 1 2.272 0Zm-27.272 0a1.135 1.135 0 1 1-2.27 0 1.135 1.135 0 0 1 2.27 0Zm-27.27 0a1.136 1.136 0 1 1-2.272-.001 1.136 1.136 0 0 1 2.272 0Zm-27.272 0a1.39 1.39 0 1 1-2.78 0 1.39 1.39 0 0 1 2.78 0Zm-27.78 0a1.645 1.645 0 1 1-3.29 0 1.645 1.645 0 0 1 3.29 0Zm-28.29 0a1.9 1.9 0 1 1-3.799 0 1.9 1.9 0 0 1 3.799 0Zm-28.799 0a2.154 2.154 0 1 1-4.308 0 2.154 2.154 0 0 1 4.308 0Zm-29.308 0a2.41 2.41 0 1 1-4.819 0 2.41 2.41 0 0 1 4.819 0Zm-29.819 0a2.663 2.663 0 1 1-5.326.001 2.663 2.663 0 0 1 5.326-.001Zm-30.327 0a2.919 2.919 0 1 1-5.837 0 2.919 2.919 0 0 1 5.837 0Zm-30.837 0a3.173 3.173 0 1 1-6.345.001 3.173 3.173 0 0 1 6.345 0Zm-31.346 0a3.428 3.428 0 1 1-6.856 0 3.428 3.428 0 0 1 6.856 0Zm-31.856 0a3.683 3.683 0 1 1-7.365 0 3.683 3.683 0 0 1 7.365 0Zm-32.365 0a3.937 3.937 0 1 1-7.875 0 3.937 3.937 0 0 1 7.875 0Zm-32.874 0a4.192 4.192 0 1 1-8.384 0 4.192 4.192 0 0 1 8.384 0Z\" fill=\"#FFF960\"\/><\/svg>\t\t\t\t<\/div>\n\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<\/header>\n\n\n\n<div class=\"text bg--white\">\n\t<div class=\"container\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"text__content text__content--1-col\">\n\t\t\t\n<h2 class=\"wp-block-heading\">NVIDIA HGX is at the heart of many of today&#039;s most powerful AI and high-performance computing servers! <\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Unlike NVIDIA DGX, which is delivered as a complete NVIDIA system, NVIDIA HGX is a computing platform that server manufacturers integrate into their own AI server architectures.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Dell Technologies, HPE, Lenovo, Supermicro, Cisco, GIGABYTE and other manufacturers build AI servers around NVIDIA HGX platforms, including HGX H100, HGX H200, HGX B200 and HGX B300.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These high-density AI systems place exceptional demands on rack power distribution. Power requirements, the number of power supplies, connector types, redundancy and power architecture can differ significantly between server models and configurations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Schleifenbauer designs and manufactures build-to-order Rack PDUs for NVIDIA HGX-based servers, regardless of the server manufacturer.<\/strong> The PDU can be configured around the actual server model, power supplies, A\/B redundancy, rack layout and electrical infrastructure of the data center.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What is NVIDIA HGX?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">NVIDIA HGX is an accelerated computing platform used by server manufacturers to build high-performance AI systems. HGX combines multiple NVIDIA SXM GPUs with technologies including NVIDIA NVLink and NVSwitch to provide high-speed GPU-to-GPU communication.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As a result, the same NVIDIA HGX platform can be found inside AI servers from many different manufacturers.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples include:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><th>Manufacturer<\/th><th>Examples of HGX systems<\/th><th>NVIDIA platform<\/th><\/tr><tr><td>Dell Technologies<\/td><td>PowerEdge XE9680<\/td><td>HGX H100 \/ H200<\/td><\/tr><tr><td>Dell Technologies<\/td><td>PowerEdge XE9680L, XE9780<\/td><td>HGX B200<\/td><\/tr><tr><td>HPE<\/td><td>Cray XD670<\/td><td>HGX H100 \/ H200<\/td><\/tr><tr><td>HPE<\/td><td>Compute XD690<\/td><td>HGX B300<\/td><\/tr><tr><td>Lenovo<\/td><td>ThinkSystem SR680a V3<\/td><td>HGX H100 \/ H200 \/ B200<\/td><\/tr><tr><td>Lenovo<\/td><td>ThinkSystem SR780a V3<\/td><td>HGX H100 \/ H200 \/ B200<\/td><\/tr><tr><td>Lenovo<\/td><td>ThinkSystem SR680a V4<\/td><td>HGX B300<\/td><\/tr><tr><td>Supermicro<\/td><td>Various GPU SuperServer systems<\/td><td>HGX H100 \/ H200 \/ B200 \/ B300<\/td><\/tr><tr><td>Cisco<\/td><td>UCS C885A M8<\/td><td>HGX H100 \/ H200<\/td><\/tr><tr><td>Cisco<\/td><td>UCS C880A M8<\/td><td>HGX B300<\/td><\/tr><tr><td>GIGABYTE<\/td><td>G593, G893, G894 and G4L4 series<\/td><td>HGX H100 \/ H200 \/ B200 \/ B300<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">NVIDIA-Certified HGX systems are also available from manufacturers including ASUS, Eviden, Inventec, Pegatron, QCT, Wistron and others.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Available configurations continue to change as new generations of GPUs and AI servers are introduced. For this reason, Schleifenbauer always starts with the actual server model and its electrical specifications when configuring a Rack PDU.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why NVIDIA HGX AI servers require a different approach to rack power<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A modern HGX server can concentrate an extremely high power demand into only a few rack units. These systems can also contain multiple high-power redundant power supplies.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This changes the requirements placed on the Rack PDU.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In traditional IT infrastructure, a PDU may primarily be selected according to the total rack load and number of required outlets. With high-density AI infrastructure, many more factors need to be considered together:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>maximum and expected power consumption per server;<\/li>\n\n\n\n<li>number of power supplies;<\/li>\n\n\n\n<li>power connector type;<\/li>\n\n\n\n<li>A\/B power feeds and redundancy;<\/li>\n\n\n\n<li>phase load distribution;<\/li>\n\n\n\n<li>number of HGX systems per rack;<\/li>\n\n\n\n<li>available three-phase power;<\/li>\n\n\n\n<li>circuit protection;<\/li>\n\n\n\n<li>cable management and available rack space;<\/li>\n\n\n\n<li>input, branch and outlet-level power monitoring;<\/li>\n\n\n\n<li>future expansion of the AI rack.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This is why there is no single universal PDU for every NVIDIA HGX system.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>The correct PDU depends on the complete server and rack configuration.<\/strong><\/p>\n\n\n\n<a data-video=\"\" rel=\"noopener\" href=\"https:\/\/www.schleifenbauer.eu\/en\/request-for-a-quotation\/\" target=\"\" class=\"wp-block-sch-button undefined center theme-button red default\"><div class=\"text\"><p>Request a PDU quote directly<\/p><\/div><\/a>\n\n\n\n<h2 class=\"wp-block-heading\">PDU for Dell PowerEdge NVIDIA HGX servers<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Dell Technologies integrates NVIDIA HGX into several systems within its PowerEdge portfolio.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">NVIDIA-Certified systems include, for example, the <strong>Dell PowerEdge XE9680 with NVIDIA HGX H100 or H200<\/strong>, as well as the <strong>Dell PowerEdge XE9680L and XE9780 with NVIDIA HGX B200<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For these systems, Schleifenbauer can configure the Rack PDU according to factors including:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>the exact Dell PowerEdge model;<\/li>\n\n\n\n<li>number and capacity of the power supplies;<\/li>\n\n\n\n<li>required high-power outlets;<\/li>\n\n\n\n<li>A\/B power feeds;<\/li>\n\n\n\n<li>three-phase power distribution;<\/li>\n\n\n\n<li>required redundancy;<\/li>\n\n\n\n<li>input, branch or outlet-level monitoring.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This means the power distribution can be designed around the Dell AI server rather than adapting the server infrastructure to a standard PDU.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">PDU for HPE NVIDIA HGX systems<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">HPE also offers high-density AI and HPC systems based on NVIDIA HGX.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples include systems from the HPE Cray and HPE Compute portfolios using NVIDIA HGX H100, H200 and B300 platforms.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The <strong>HPE Compute XD690 with NVIDIA HGX B300<\/strong>, for example, demonstrates the power density that can be achieved with the latest generation of AI infrastructure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For HPE HGX systems, Schleifenbauer can design a Rack PDU configuration around the electrical infrastructure of the data center, the server power supplies, rack layout and required A\/B redundancy.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">PDU for Lenovo ThinkSystem NVIDIA HGX servers<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Lenovo uses NVIDIA HGX across several ThinkSystem GPU servers.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Lenovo ThinkSystem SR680a V3 with HGX H100, H200 or B200;<\/li>\n\n\n\n<li>Lenovo ThinkSystem SR780a V3 with HGX H100, H200 or B200;<\/li>\n\n\n\n<li>Lenovo ThinkSystem SR680a V4 with HGX B300.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These systems illustrate why total power consumption is only part of the PDU specification. The number of physical power supplies, their capacity and their distribution across redundant feeds must also be considered.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A Schleifenbauer Rack PDU can be configured specifically around the ThinkSystem server architecture and the available rack power infrastructure.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">PDU for Supermicro NVIDIA HGX GPU servers<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Supermicro offers an extensive portfolio of high-density GPU servers supporting multiple generations of NVIDIA HGX.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">NVIDIA-Certified Supermicro systems are available for HGX H100, HGX H200, HGX B200 and HGX B300.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For data centers deploying Supermicro AI infrastructure, Schleifenbauer can configure the Rack PDU around the exact Supermicro server model, number of GPU nodes per rack and available electrical infrastructure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This applies to individual AI servers as well as racks containing multiple GPU systems with very high combined power requirements.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">PDU for Cisco, GIGABYTE and other NVIDIA HGX servers<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The Schleifenbauer PDU architecture is not tied to one server manufacturer.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Rack PDUs can be configured for HGX-based systems from manufacturers including:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Dell Technologies, HPE, Lenovo, Supermicro, Cisco, GIGABYTE, ASUS, Eviden, Inventec, Pegatron, QCT and Wistron.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If your server manufacturer or model is not listed here, this does not mean Schleifenbauer cannot provide a suitable PDU.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Using the electrical specifications of the server and rack infrastructure, our engineers can determine and configure the required power distribution solution.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">From NVIDIA HGX H100 and H200 to B200 and B300<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">AI hardware is developing rapidly.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">NVIDIA HGX H100 and H200 systems are now joined by Blackwell platforms such as HGX B200 and Blackwell Ultra HGX B300. At the same time, AI infrastructure continues to increase rack power density.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This means power infrastructure needs to account not only for today&#039;s servers, but also for factors such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>increasing rack power requirements;<\/li>\n\n\n\n<li>more high-power connections;<\/li>\n\n\n\n<li>higher loads per circuit;<\/li>\n\n\n\n<li>redundant power feeds;<\/li>\n\n\n\n<li>accurate energy monitoring;<\/li>\n\n\n\n<li>scalability towards future AI hardware.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">A build-to-order Rack PDU allows power distribution to be designed around the infrastructure rather than selecting from a limited range of standard configurations.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">32A and 63A three-phase PDUs for high-density AI racks<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">For high-density AI and HPC environments, Schleifenbauer can configure <strong>32A and 63A three-phase Rack PDUs<\/strong>, as well as other power configurations depending on the application.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Different input connections, outlet configurations, circuit protection and monitoring options are available.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The appropriate configuration can be determined according to:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Server model \u2192 number of power supplies \u2192 maximum power \u2192 redundancy \u2192 available rack power \u2192 required monitoring.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This allows the PDU to be configured for a single HGX server, multiple servers within one rack or a larger AI cluster architecture.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">A\/B power redundancy for NVIDIA HGX systems<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Availability is critical for AI training, inference and HPC workloads.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Where a server has redundant power supplies, these can be distributed across separate A and B power feeds. The power architecture can therefore be designed so that the loss of one feed does not automatically remove power from the complete server.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Schleifenbauer can design PDU configurations taking into account:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A and B power feeds;<\/li>\n\n\n\n<li>PSU distribution;<\/li>\n\n\n\n<li>phase balancing;<\/li>\n\n\n\n<li>circuit loading;<\/li>\n\n\n\n<li>redundancy;<\/li>\n\n\n\n<li>available capacity per PDU.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The configuration is always based on the actual server and data center power architecture.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Power monitoring for AI and GPU infrastructure<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">As the power density of NVIDIA HGX systems increases, visibility into energy consumption becomes increasingly important.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Schleifenbauer PDU 5.0 is available as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"https:\/\/www.schleifenbauer.eu\/en\/basic-pdu\/\">Basic PDU;<\/a><\/strong><\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.schleifenbauer.eu\/en\/metered-pdu\/\">Metered PDU;<\/a><\/strong><\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.schleifenbauer.eu\/en\/monitored-pdu\/\">Monitored PDU;<\/a><\/strong><\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.schleifenbauer.eu\/en\/switched-pdu\/\">Switched PDU;<\/a><\/strong><\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.schleifenbauer.eu\/en\/managed-pdu\/\">Managed PDU.<\/a><\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Depending on the configuration, electrical parameters can be measured at input, branch and outlet level.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This provides visibility into how much power an AI server or power circuit is actually consuming and how much capacity remains available within the rack.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">NVIDIA HGX power monitoring with EnerTree DCEM<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Intelligent Schleifenbauer PDUs can be combined with <strong><a href=\"https:\/\/www.schleifenbauer.eu\/en\/enertree-dcem\/\">EnerTree DCEM<\/a><\/strong>, Schleifenbauer&#039;s Data Center Energy Management platform.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">EnerTree provides central visibility into rack-level energy data and supports the monitoring and analysis of data center power infrastructure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is particularly relevant in AI and HPC environments, where increasing rack power densities make accurate monitoring of load, capacity and energy consumption increasingly important.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">EnerTree supports open integration through protocols and interfaces including REST API, SNMP, Modbus and Redfish.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The software is included within the Schleifenbauer PDU architecture without recurring software license fees and can be deployed on-premises, giving operators control over their own energy data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Build-to-order PDU instead of adapting the server to the PDU<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">An NVIDIA HGX server represents a significant infrastructure investment. The rack power distribution should therefore match the server architecture rather than forcing the infrastructure to work around a standard PDU.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Schleifenbauer designs and manufactures Rack PDUs <strong>build-to-order in the Netherlands<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Depending on the application, configurations can include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>single-phase or three-phase power;<\/li>\n\n\n\n<li>16A, 32A or 63A;<\/li>\n\n\n\n<li>required number of outlets;<\/li>\n\n\n\n<li>C13, C19 and IEC Lock CX outlets;<\/li>\n\n\n\n<li>cable length;<\/li>\n\n\n\n<li>input connector;<\/li>\n\n\n\n<li>power cable position;<\/li>\n\n\n\n<li>circuit protection;<\/li>\n\n\n\n<li>vertical 0U or horizontal mounting;<\/li>\n\n\n\n<li>input, branch and outlet-level metering;<\/li>\n\n\n\n<li>remote outlet switching;<\/li>\n\n\n\n<li>communication and monitoring.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The PDU can therefore be configured around both the AI server and the complete rack power architecture.<br><br>Click <strong><a href=\"https:\/\/www.schleifenbauer.eu\/en\/request-for-a-quotation\/\">here<\/a><\/strong> to request a quote <\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Which PDU do I need for my NVIDIA HGX server?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">That depends on the exact system.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A Dell PowerEdge server with NVIDIA HGX B200 can have different power supplies, connectors and electrical requirements from a Lenovo ThinkSystem, HPE Compute or Supermicro server based on the same NVIDIA HGX platform.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To determine the appropriate Rack PDU, the following information is particularly useful:<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li>server manufacturer;<\/li>\n\n\n\n<li>exact server model;<\/li>\n\n\n\n<li>NVIDIA HGX platform or GPU configuration;<\/li>\n\n\n\n<li>number of servers per rack;<\/li>\n\n\n\n<li>number and type of power supplies per server;<\/li>\n\n\n\n<li>required A\/B redundancy;<\/li>\n\n\n\n<li>available rack power;<\/li>\n\n\n\n<li>required power and energy monitoring.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">Based on this information, Schleifenbauer can configure a Rack PDU that matches the actual AI infrastructure.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Frequently asked questions about PDUs for NVIDIA HGX<\/h1>\n\n\n\n<h3 class=\"wp-block-heading\">What is the difference between NVIDIA DGX and NVIDIA HGX?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">NVIDIA DGX is a complete AI computing system from NVIDIA. NVIDIA HGX is an accelerated computing platform that server manufacturers integrate into their own AI servers. This means HGX-based systems are available from manufacturers including Dell Technologies, HPE, Lenovo, Supermicro, Cisco and GIGABYTE.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Which server manufacturers use NVIDIA HGX?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">NVIDIA HGX is used in servers from multiple manufacturers. NVIDIA-Certified HGX systems include models from Dell Technologies, HPE, Lenovo, Supermicro, Cisco, GIGABYTE, ASUS, Eviden, Inventec, Pegatron, QCT, Wistron and others. Availability varies between HGX generations and individual server platforms.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Which PDU do I need for NVIDIA HGX H100?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The correct PDU for an NVIDIA HGX H100 system depends on the server manufacturer and model, number and capacity of the power supplies, connector type, available rack power and required redundancy. Schleifenbauer can configure the PDU according to the electrical requirements of the specific HGX H100 server.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Which PDU do I need for NVIDIA HGX H200?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">There is no single PDU specification for every HGX H200 server. Dell, HPE, Lenovo, Supermicro and other manufacturers can use different power architectures around the HGX platform. The Rack PDU should therefore be selected according to the actual server configuration.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Which PDU do I need for NVIDIA HGX B200?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">There is no universal PDU for HGX B200. The appropriate PDU depends on the server manufacturer, server model, number and type of power supplies, available supply, A\/B redundancy and number of servers within the rack. Schleifenbauer can configure the PDU specifically for these requirements.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Which PDU do I need for NVIDIA HGX B300?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">HGX B300 is available in systems from multiple manufacturers, including Dell, HPE, Lenovo, Supermicro, Cisco and GIGABYTE. The correct PDU configuration depends on the electrical architecture of the specific server and rack rather than the HGX B300 platform alone.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Can Schleifenbauer provide a PDU for Dell PowerEdge HGX servers?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Yes. Schleifenbauer can configure Rack PDUs according to the electrical requirements of Dell PowerEdge AI servers with NVIDIA HGX, including systems from the PowerEdge XE portfolio. The final PDU configuration is based on the exact server model and rack power architecture.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Can Schleifenbauer provide a PDU for HPE NVIDIA HGX systems?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Yes. Rack PDUs can be configured for HPE AI and HPC systems with NVIDIA HGX, taking into account the power supplies, connections, rack power, A\/B redundancy and monitoring requirements of the specific server.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Can Schleifenbauer provide a PDU for Lenovo ThinkSystem HGX servers?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Yes. This includes Lenovo ThinkSystem servers using NVIDIA HGX H100, H200, B200 and B300. The PDU is configured according to the specific ThinkSystem model and electrical infrastructure.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Can Schleifenbauer provide a PDU for Supermicro HGX servers?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Yes. Schleifenbauer can configure Rack PDUs for Supermicro GPU servers based on NVIDIA HGX H100, H200, B200 and B300, depending on the specifications of the individual server model.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Are 63A PDUs suitable for NVIDIA HGX and AI racks?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><a href=\"https:\/\/www.schleifenbauer.eu\/en\/63a-pdu\/\">63A three-phase Rack PDUs<\/a><\/strong> can be suitable for high-density AI and HPC racks. However, the appropriate capacity should always be determined from the actual server load, electrical infrastructure, redundancy requirements and number of systems within the rack.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Can I monitor the power consumption of NVIDIA HGX servers?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Yes. With an appropriate Schleifenbauer Monitored or Managed PDU, electrical parameters can be measured at different levels. EnerTree DCEM can then be used to centrally monitor and analyze this energy data.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Can the PDU be configured for A\/B redundant power feeds?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Yes. Where the server architecture uses redundant power supplies, Schleifenbauer can configure the PDU solution around separate A and B feeds, taking into account PSU distribution, phase balancing, circuit loading and the required redundancy.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Need a PDU for an NVIDIA HGX AI server?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Whether you are deploying a <strong>Dell PowerEdge, HPE, Lenovo ThinkSystem, Supermicro, Cisco, GIGABYTE or another NVIDIA HGX-based system<\/strong>, the rack power distribution needs to match the actual server and infrastructure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Send us the <strong>server manufacturer and model, number of systems per rack and available power supply<\/strong>. Our engineers can use this information to configure a suitable Rack PDU solution.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>HGX H100, H200, B200 or B300. One AI server or a complete GPU cluster. The PDU is built around your infrastructure.<\/strong><\/p>\n\n\n\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/www.schleifenbauer.eu\/wp-content\/uploads\/2025\/04\/DGX-Nvidia-PDU-by-Schleifenbauer-LR-2.pdf\" type=\"application\/pdf\" style=\"width:100%;height:1360px\" aria-label=\"Embed of DGX Nvidia PDU by Schleifenbauer LR.\"><\/object><a id=\"wp-block-file--media-b5ae81c2-91f7-4465-8b0a-3b7a1006ad78\" href=\"https:\/\/www.schleifenbauer.eu\/wp-content\/uploads\/2025\/04\/DGX-Nvidia-PDU-by-Schleifenbauer-LR-2.pdf\">DGX Nvidia PDU by Schleifenbauer LR<\/a><a href=\"https:\/\/www.schleifenbauer.eu\/wp-content\/uploads\/2025\/04\/DGX-Nvidia-PDU-by-Schleifenbauer-LR-2.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-b5ae81c2-91f7-4465-8b0a-3b7a1006ad78\">Download<\/a><\/div>\n<p>The post <a href=\"https:\/\/www.schleifenbauer.eu\/en\/nvidia-hgx-pdu\/\">PDUs for NVIDIA HGX AI Servers<\/a> appeared first on <a href=\"https:\/\/www.schleifenbauer.eu\/en\">Schleifenbauer \u2013 Bespoke PDUs<\/a>.<\/p>\n<p>Source: <a href=\"https:\/\/www.schleifenbauer.eu\/en\/nvidia-hgx-pdu\/\">https:\/\/www.schleifenbauer.eu\/en\/nvidia-hgx-pdu\/<\/a><\/p>\t\t<\/div>\n\t<\/div>\n<\/div>\r\n\t<div class=\"articles bg--offwhite automatic\">\r\n\t\t<div class=\"container\">\r\n\t\t\t<div class=\"articles__header\">\r\n\t\t\t\t\t\t\t\t\t<div class='heading-wrapper'><svg width=\"13\" height=\"13\" viewbox=\"0 0 13 13\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><circle cx=\"6.394\" cy=\"6.5\" r=\"6.394\" fill=\"#000\"\/><\/svg><h2>Related articles<\/h2><\/div>\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/en\/profiel\/schleifenbauer-products-bv\/\" class=\"button button--outline\">view profile<\/a>\r\n\t\t\t\t\t\t\t<\/div>\r\n\t\t\t\t\t\t<div class=\"post-grid post-grid--no-padding\">\r\n\t\t\t\t\n<a class=\"single-item single-item__articles\" href=\"https:\/\/fhi.nl\/en\/news\/rijksvastgoedbedrijf-rws-en-rvo-op-zoek-naar-smart-office-technologieen\/\" data-id=\"42091\">\n\t<div class=\"single-item__articles-icon\">\n\t\t<svg width=\"108\" height=\"97\" viewbox=\"0 0 108 97\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M71.1889 19.4317C71.1889 18.8156 70.905 18.2339 70.4193 17.8549C69.9336 17.4759 69.3003 17.3419 68.7027 17.4917L39.0059 24.935C38.1162 25.1581 37.4922 25.9577 37.4922 26.875V37.3931H29.2051C28.1005 37.3931 27.2051 38.2885 27.2051 39.3931V75.9996H31.2051V41.3931H47.895V75.9996H51.895V39.3931C51.895 38.2885 50.9996 37.3931 49.895 37.3931H41.4922V28.4356L67.1889 21.9948V75.9998H71.1889V34.3866H77.4785V75.9995H81.4785V32.3866C81.4785 31.282 80.5831 30.3866 79.4785 30.3866H71.1889V19.4317ZM37.5508 51.9436C37.5508 53.0482 38.4462 53.9436 39.5508 53.9436C40.6554 53.9436 41.5508 53.0482 41.5508 51.9436V48.7891C41.5508 47.6845 40.6554 46.7891 39.5508 46.7891C38.4462 46.7891 37.5508 47.6845 37.5508 48.7891V51.9436ZM39.5508 67.01C38.4462 67.01 37.5508 66.1146 37.5508 65.01V61.8555C37.5508 60.7509 38.4462 59.8555 39.5508 59.8555C40.6554 59.8555 41.5508 60.7509 41.5508 61.8555V65.01C41.5508 66.1146 40.6554 67.01 39.5508 67.01ZM56.7871 51.9436C56.7871 53.0482 57.6825 53.9436 58.7871 53.9436C59.8917 53.9436 60.7871 53.0482 60.7871 51.9436V48.7891C60.7871 47.6845 59.8917 46.7891 58.7871 46.7891C57.6825 46.7891 56.7871 47.6845 56.7871 48.7891V51.9436ZM58.7871 35.5164C57.6825 35.5164 56.7871 34.6209 56.7871 33.5164V30.3618C56.7871 29.2572 57.6825 28.3618 58.7871 28.3618C59.8917 28.3618 60.7871 29.2572 60.7871 30.3618V33.5164C60.7871 34.6209 59.8917 35.5164 58.7871 35.5164ZM56.7871 65.01C56.7871 66.1146 57.6825 67.01 58.7871 67.01C59.8917 67.01 60.7871 66.1146 60.7871 65.01V61.8555C60.7871 60.7509 59.8917 59.8555 58.7871 59.8555C57.6825 59.8555 56.7871 60.7509 56.7871 61.8555V65.01Z\" fill=\"#B14AED\"\/>\n<path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M96.9545 4H11C7.13401 4 4 7.13401 4 11V66.7273C4 70.5933 7.134 73.7273 11 73.7273H96.9545C100.821 73.7273 103.955 70.5933 103.955 66.7273V11C103.955 7.134 100.821 4 96.9545 4ZM11 0C4.92487 0 0 4.92486 0 11V66.7273C0 72.8024 4.92486 77.7273 11 77.7273H96.9545C103.03 77.7273 107.955 72.8024 107.955 66.7273V11C107.955 4.92487 103.03 0 96.9545 0H11Z\" fill=\"#B14AED\"\/>\n<path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M38 74H69V97H38V74ZM42 78V93H65V78H42Z\" fill=\"#B14AED\"\/>\n<path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M23.9082 95C23.9082 93.8954 24.8036 93 25.9082 93L82.0446 93C83.1491 93 84.0446 93.8954 84.0446 95C84.0446 96.1046 83.1491 97 82.0446 97L25.9082 97C24.8036 97 23.9082 96.1046 23.9082 95Z\" fill=\"#B14AED\"\/>\n<\/svg>\n\t<\/div>\n\t<div class=\"single-item__articles-title\"><div class='heading-wrapper'><h3>Central Government Real Estate Agency, RWS and RVO looking for Smart Office technologies<\/h3><\/div><\/div>\n\t<div class=\"single-item__articles-terms\">\n\t\t\n\t\t\n\t\t\t\t\t\t<span class=\"button button--outline single-item__articles-term--branche single-item__articles-term\">Building Automation<\/span>\n\t\t\t\t\t\t\t\t<span class=\"button button--outline single-item__articles-term--branche single-item__articles-term\">Digital Building of the Future<\/span>\n\t\t\t\t\t\t\t\t<span class=\"button button--outline single-item__articles-term--branche single-item__articles-term\">Buildings<\/span>\n\t\t\t\t\t\t\t\t<span class=\"button button--outline single-item__articles-term--branche single-item__articles-term\">SmartSolutions<\/span>\n\t\t\t\t\t<\/div>\n\t<div class=\"single-item__articles-author-date-wrapper\">\n\t\t\t\t\t<div class=\"single-item__articles-author\">\n\t\t\t\tFHI, Federation of Technology Industries\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"single-item__articles-date\">\n\t\t\t\tApril 22, 2020\t\t\t<\/div>\n\t\t\t<\/div>\n<\/a>\n\n<a class=\"single-item single-item__articles\" href=\"https:\/\/fhi.nl\/en\/news\/the-limitations-of-standard-pcb-technology\/\" data-id=\"53528\">\n\t<div class=\"single-item__articles-icon\">\n\t\t<svg width=\"35\" height=\"35\" viewbox=\"0 0 35 35\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<mask id=\"mask0_1182_5532\" style=\"mask-type:luminance\" maskunits=\"userSpaceOnUse\" x=\"0\" y=\"0\" width=\"35\" height=\"35\">\n<path d=\"M0 0H35V35H0V0Z\" fill=\"white\"\/>\n<\/mask>\n<g mask=\"url(#mask0_1182_5532)\">\n<path d=\"M5.12695 9.22852H1.02539V31.9238H10.4299C12.2868 31.9238 14.0678 32.6615 15.3809 33.9746H19.6191C20.9322 32.6615 22.7132 31.9238 24.5701 31.9238H33.9746V11.2793H29.873\" stroke=\"#2A5CEE\" stroke-width=\"2\" stroke-miterlimit=\"10\"\/>\n<path d=\"M17.5 9.22852H18.1426C20.0088 7.89544 22.2237 7.17773 24.5615 7.17773H29.873V27.8223H24.5615C22.2237 27.8223 20.0088 28.54 18.1426 29.873H16.8574C14.9912 28.54 12.7763 27.8223 10.4385 27.8223H5.12695V5.12695H9.22852\" stroke=\"#2A5CEE\" stroke-width=\"2\" stroke-miterlimit=\"10\"\/>\n<path d=\"M9.22852 1.02539V21.6699C13.759 21.6699 17.5 25.3425 17.5 29.873V9.22852C17.5 4.698 13.759 1.02539 9.22852 1.02539Z\" stroke=\"#2A5CEE\" stroke-width=\"2\" stroke-miterlimit=\"10\"\/>\n<\/g>\n<\/svg>\n\t<\/div>\n\t<div class=\"single-item__articles-title\"><div class='heading-wrapper'><h3>The limitations of standard PCB technology<\/h3><\/div><\/div>\n\t<div class=\"single-item__articles-terms\">\n\t\t\n\t\t\n\t\t\t\t\t\t<span class=\"button button--outline single-item__articles-term--branche single-item__articles-term\">Members content<\/span>\n\t\t\t\t\t<\/div>\n\t<div class=\"single-item__articles-author-date-wrapper\">\n\t\t\t\t\t<div class=\"single-item__articles-author\">\n\t\t\t\tEurocircuits NV\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"single-item__articles-date\">\n\t\t\t\t15 January 2025\t\t\t<\/div>\n\t\t\t<\/div>\n<\/a>\n\n<a class=\"single-item single-item__articles\" href=\"https:\/\/fhi.nl\/en\/news\/spectaculaire-filmbeelden-mede-mogelijk-door-apex-dynamics\/\" data-id=\"36401\">\n\t<div class=\"single-item__articles-icon\">\n\t\t<svg width=\"35\" height=\"35\" viewbox=\"0 0 35 35\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<mask id=\"mask0_1182_5532\" style=\"mask-type:luminance\" maskunits=\"userSpaceOnUse\" x=\"0\" y=\"0\" width=\"35\" height=\"35\">\n<path d=\"M0 0H35V35H0V0Z\" fill=\"white\"\/>\n<\/mask>\n<g mask=\"url(#mask0_1182_5532)\">\n<path d=\"M5.12695 9.22852H1.02539V31.9238H10.4299C12.2868 31.9238 14.0678 32.6615 15.3809 33.9746H19.6191C20.9322 32.6615 22.7132 31.9238 24.5701 31.9238H33.9746V11.2793H29.873\" stroke=\"#2A5CEE\" stroke-width=\"2\" stroke-miterlimit=\"10\"\/>\n<path d=\"M17.5 9.22852H18.1426C20.0088 7.89544 22.2237 7.17773 24.5615 7.17773H29.873V27.8223H24.5615C22.2237 27.8223 20.0088 28.54 18.1426 29.873H16.8574C14.9912 28.54 12.7763 27.8223 10.4385 27.8223H5.12695V5.12695H9.22852\" stroke=\"#2A5CEE\" stroke-width=\"2\" stroke-miterlimit=\"10\"\/>\n<path d=\"M9.22852 1.02539V21.6699C13.759 21.6699 17.5 25.3425 17.5 29.873V9.22852C17.5 4.698 13.759 1.02539 9.22852 1.02539Z\" stroke=\"#2A5CEE\" stroke-width=\"2\" stroke-miterlimit=\"10\"\/>\n<\/g>\n<\/svg>\n\t<\/div>\n\t<div class=\"single-item__articles-title\"><div class='heading-wrapper'><h3>Spectacular film images, made possible by Apex Dynamics!<\/h3><\/div><\/div>\n\t<div class=\"single-item__articles-terms\">\n\t\t\n\t\t\n\t\t\t\t\t\t<span class=\"button button--outline single-item__articles-term--branche single-item__articles-term\">World of Industry, Technology &amp; Science<\/span>\n\t\t\t\t\t\t\t\t<span class=\"button button--outline single-item__articles-term--branche single-item__articles-term\">Members content<\/span>\n\t\t\t\t\t<\/div>\n\t<div class=\"single-item__articles-author-date-wrapper\">\n\t\t\t\t\t<div class=\"single-item__articles-author\">\n\t\t\t\tAPEX Dynamics BV\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"single-item__articles-date\">\n\t\t\t\tMarch 29, 2022\t\t\t<\/div>\n\t\t\t<\/div>\n<\/a>\n\t\t\t<\/div>\r\n\t\t<\/div>\r\n\t<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"featured_media":0,"template":"","branches":[],"events":[],"secretariat":[],"categories":[],"themes_tax":[],"content_types":[],"class_list":["post-88854","news","type-news","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>PDUs for NVIDIA HGX AI Servers - FHI, federatie van technologiebranches<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fhi.nl\/en\/nieuws\/pdus-for-nvidia-hgx-ai-servers\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PDUs for NVIDIA HGX AI Servers - FHI, federatie van technologiebranches\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fhi.nl\/en\/nieuws\/pdus-for-nvidia-hgx-ai-servers\/\" \/>\n<meta property=\"og:site_name\" content=\"FHI, federatie van technologiebranches\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/fhi.nl\\\/nieuws\\\/pdus-for-nvidia-hgx-ai-servers\\\/\",\"url\":\"https:\\\/\\\/fhi.nl\\\/nieuws\\\/pdus-for-nvidia-hgx-ai-servers\\\/\",\"name\":\"PDUs for NVIDIA HGX AI Servers - FHI, federatie van technologiebranches\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/fhi.nl\\\/#website\"},\"datePublished\":\"2026-09-28T14:34:06+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/fhi.nl\\\/nieuws\\\/pdus-for-nvidia-hgx-ai-servers\\\/#breadcrumb\"},\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/fhi.nl\\\/nieuws\\\/pdus-for-nvidia-hgx-ai-servers\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/fhi.nl\\\/nieuws\\\/pdus-for-nvidia-hgx-ai-servers\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/fhi.nl\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Nieuws\",\"item\":\"https:\\\/\\\/fhi.nl\\\/nieuws\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"PDUs for NVIDIA HGX AI Servers\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/fhi.nl\\\/#website\",\"url\":\"https:\\\/\\\/fhi.nl\\\/\",\"name\":\"FHI, federatie van technologiebranches\",\"description\":\"Nederlandse branchevereniging voor technologiebranches\",\"publisher\":{\"@id\":\"https:\\\/\\\/fhi.nl\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/fhi.nl\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-GB\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/fhi.nl\\\/#organization\",\"name\":\"FHI, federatie van technologiebranches\",\"url\":\"https:\\\/\\\/fhi.nl\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\\\/\\\/fhi.nl\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/fhi.nl\\\/app\\\/uploads\\\/2024\\\/06\\\/3-e1722349014385.png\",\"contentUrl\":\"https:\\\/\\\/fhi.nl\\\/app\\\/uploads\\\/2024\\\/06\\\/3-e1722349014385.png\",\"width\":732,\"height\":136,\"caption\":\"FHI, federatie van technologiebranches\"},\"image\":{\"@id\":\"https:\\\/\\\/fhi.nl\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.linkedin.com\\\/company\\\/fhi-federation-of-technology-branches\",\"https:\\\/\\\/www.instagram.com\\\/fhi_nl\\\/\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"PDUs for NVIDIA HGX AI Servers - FHI, Federation of Technology Industries","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/fhi.nl\/en\/nieuws\/pdus-for-nvidia-hgx-ai-servers\/","og_locale":"en_GB","og_type":"article","og_title":"PDUs for NVIDIA HGX AI Servers - FHI, federatie van technologiebranches","og_url":"https:\/\/fhi.nl\/en\/nieuws\/pdus-for-nvidia-hgx-ai-servers\/","og_site_name":"FHI, federatie van technologiebranches","twitter_card":"summary_large_image","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/fhi.nl\/nieuws\/pdus-for-nvidia-hgx-ai-servers\/","url":"https:\/\/fhi.nl\/nieuws\/pdus-for-nvidia-hgx-ai-servers\/","name":"PDUs for NVIDIA HGX AI Servers - FHI, Federation of Technology Industries","isPartOf":{"@id":"https:\/\/fhi.nl\/#website"},"datePublished":"2026-09-28T14:34:06+00:00","breadcrumb":{"@id":"https:\/\/fhi.nl\/nieuws\/pdus-for-nvidia-hgx-ai-servers\/#breadcrumb"},"inLanguage":"en-GB","potentialAction":[{"@type":"ReadAction","target":["https:\/\/fhi.nl\/nieuws\/pdus-for-nvidia-hgx-ai-servers\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/fhi.nl\/nieuws\/pdus-for-nvidia-hgx-ai-servers\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/fhi.nl\/"},{"@type":"ListItem","position":2,"name":"Nieuws","item":"https:\/\/fhi.nl\/nieuws\/"},{"@type":"ListItem","position":3,"name":"PDUs for NVIDIA HGX AI Servers"}]},{"@type":"WebSite","@id":"https:\/\/fhi.nl\/#website","url":"https:\/\/fhi.nl\/","name":"FHI, federation of technology industries","description":"Dutch trade association for technology industries","publisher":{"@id":"https:\/\/fhi.nl\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/fhi.nl\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-GB"},{"@type":"Organization","@id":"https:\/\/fhi.nl\/#organization","name":"FHI, federation of technology industries","url":"https:\/\/fhi.nl\/","logo":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/fhi.nl\/#\/schema\/logo\/image\/","url":"https:\/\/fhi.nl\/app\/uploads\/2024\/06\/3-e1722349014385.png","contentUrl":"https:\/\/fhi.nl\/app\/uploads\/2024\/06\/3-e1722349014385.png","width":732,"height":136,"caption":"FHI, federatie van technologiebranches"},"image":{"@id":"https:\/\/fhi.nl\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.linkedin.com\/company\/fhi-federation-of-technology-branches","https:\/\/www.instagram.com\/fhi_nl\/"]}]}},"_links":{"self":[{"href":"https:\/\/fhi.nl\/en\/wp-json\/wp\/v2\/news\/88854","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fhi.nl\/en\/wp-json\/wp\/v2\/news"}],"about":[{"href":"https:\/\/fhi.nl\/en\/wp-json\/wp\/v2\/types\/news"}],"version-history":[{"count":0,"href":"https:\/\/fhi.nl\/en\/wp-json\/wp\/v2\/news\/88854\/revisions"}],"wp:attachment":[{"href":"https:\/\/fhi.nl\/en\/wp-json\/wp\/v2\/media?parent=88854"}],"wp:term":[{"taxonomy":"branches","embeddable":true,"href":"https:\/\/fhi.nl\/en\/wp-json\/wp\/v2\/branches?post=88854"},{"taxonomy":"events","embeddable":true,"href":"https:\/\/fhi.nl\/en\/wp-json\/wp\/v2\/events?post=88854"},{"taxonomy":"secretariat","embeddable":true,"href":"https:\/\/fhi.nl\/en\/wp-json\/wp\/v2\/secretariat?post=88854"},{"taxonomy":"categories","embeddable":true,"href":"https:\/\/fhi.nl\/en\/wp-json\/wp\/v2\/categories?post=88854"},{"taxonomy":"themes","embeddable":true,"href":"https:\/\/fhi.nl\/en\/wp-json\/wp\/v2\/themes_tax?post=88854"},{"taxonomy":"content_types","embeddable":true,"href":"https:\/\/fhi.nl\/en\/wp-json\/wp\/v2\/content_types?post=88854"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}