{"id":88682,"date":"2026-09-23T13:39:08","date_gmt":"2026-09-23T11:39:08","guid":{"rendered":"https:\/\/fhi.nl\/nieuws\/custom-pdus-voor-ai-hardware-rack-power-ontwerpen-voor-high-density-ai-infrastructuur\/"},"modified":"2026-09-23T13:39:08","modified_gmt":"2026-09-23T11:39:08","slug":"custom-pdus-voor-ai-hardware-rack-power-ontwerpen-voor-high-density-ai-infrastructuur","status":"publish","type":"news","link":"https:\/\/fhi.nl\/en\/news\/custom-pdus-voor-ai-hardware-rack-power-ontwerpen-voor-high-density-ai-infrastructuur\/","title":{"rendered":"Custom PDUs for AI hardware: designing rack power for high-density AI infrastructure"},"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\tCustom PDUs for AI hardware: designing rack power for high-density AI infrastructure\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\">What is a custom PDU for AI hardware?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A custom PDU for AI hardware is a rack Power Distribution Unit specifically configured to power GPU servers, AI accelerators, high-density compute, storage, and networking equipment within an AI or HPC rack.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Instead of adapting the rack design to the limitations of a standard PDU, the PDU is tailored to the infrastructure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This may relate to, among other things:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>single- or three-phase power supply;<\/li>\n\n\n\n<li>10A, 16A, 32A or 63A input;<\/li>\n\n\n\n<li>specific input plugs and cables;<\/li>\n\n\n\n<li>customized cable lengths and cable entry;<\/li>\n\n\n\n<li>type, number and position of outlets;<\/li>\n\n\n\n<li>phase-balanced outlet layouts;<\/li>\n\n\n\n<li>branch security;<\/li>\n\n\n\n<li>energy metering at input, branch, and outlet levels;<\/li>\n\n\n\n<li>remote outlet switching;<\/li>\n\n\n\n<li>environmental monitoring;<\/li>\n\n\n\n<li>communication and network architecture;<\/li>\n\n\n\n<li>integration with DCIM, BMS and energy management software.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Schleifenbauer PDU 5.0 supports single- and three-phase configurations and current ratings from 10A up to and including 63A, with configurable energy metering at input, branch, and outlet levels and optional remote switching.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The basic principle is simple:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Design the rack PDU around the AI hardware, not the AI hardware around the PDU.<\/strong><\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Why does AI hardware require a different approach to rack power?<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">AI infrastructure increases the power density in the rack.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Traditional enterprise racks often contain various systems that function relatively independently of each other. Modern AI racks, on the other hand, can contain highly concentrated GPU compute that operates as a single cohesive system.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As a result, the architecture of the rack power infrastructure is becoming increasingly important.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">NVIDIA documents, for example, designed rack capacities of <strong>120 kW for GB200 NVL72 and 135 kW for GB300 NVL72<\/strong>. At the same time, the sector is already working on new power architectures for future AI factories with even higher power densities.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That means <strong>not<\/strong> that every AI rack requires a 120 kW PDU.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It primarily means that <strong>\u201cAI rack\u201d no longer equates to a single standard power requirement<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The correct PDU is determined by the hardware and power architecture that are actually deployed.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI rack power starts with the hardware specification.<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The first question when specifying a PDU for AI hardware should therefore not be:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Which PDU do we normally use?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">But:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>What does this rack actually need?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Important starting points include the maximum and expected energy consumption of the IT equipment, the number of power supplies, the redundancy architecture, the required supply voltage, the number of feeds, available upstream capacity, connector types, and the physical rack layout.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Based on that, the PDU can be configured.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is becoming increasingly important as AI infrastructure evolves rapidly. A fixed PDU catalog designed around yesterday&#039;s rack density does not automatically offer the best solution for tomorrow&#039;s GPU infrastructure.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">32A or 63A PDU for AI hardware?<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">There is no universal answer to that.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A 32A PDU may be suitable for one AI rack architecture, while another environment requires multiple 32A feeds, three-phase 63A PDUs, or a completely different distribution architecture.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The right question is therefore not whether <strong>32A or 63A is &#039;better&#039; for AI<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It concerns the combination of:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>voltage \u00d7 current \u00d7 number of phases \u00d7 number of feeds \u00d7 redundancy<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">and whether it offers sufficient usable capacity for the specific rack.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Schleifenbauer can configure PDU 5.0 in <strong>10A, 16A, 32A and 63A<\/strong>, including three-phase versions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A <strong>three-phase 63A PDU<\/strong> at 400 V, for example, can be a maximum of approximately <strong>43.5 kVA<\/strong> to deliver.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Multiple feeds can subsequently be deployed to realize the required rack capacity and redundancy architecture.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why three-phase power is important for high-density AI racks<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">As rack capacity increases, three-phase power distribution becomes increasingly relevant.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Instead of concentrating the load on a single phase, the power can be distributed over:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>L1 \u2192 L2 \u2192 L3<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The outlet configuration of the PDU can then be designed so that connected equipment is distributed across the available phases.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For AI infrastructure, however, phase balancing is not just something that needs to be calculated during the design.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You want it too <strong>can measure during operation<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With an intelligent PDU, the operator can see how the actual load develops across the phases, instead of relying solely on the original design calculation.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">AI workloads are dynamic, not static.<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Nameplate power and average energy consumption do not tell the whole story.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI computing can cause significant changes in electrical load when systems switch between training, inference, idle states, and other operating conditions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As a result, <strong>headroom and real-time measurement<\/strong> more important.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A rack may appear to have sufficient capacity based on average consumption, while individual phases, branches, or feeds approach their operational limits during peak load.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For a data center operator, the question therefore becomes:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><strong><a href=\"https:\/\/www.schleifenbauer.eu\/nl\/stranded-capacity-datacenter\/\">How much capacity do we have available \u2014 and where is that capacity actually available?<\/a><\/strong><\/p>\n<\/blockquote>\n\n\n\n<h1 class=\"wp-block-heading\">Measure AI power where it is actually consumed<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">The closer the measurement takes place to the IT equipment, the more specific the data becomes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An intelligent PDU can provide insight into various levels:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Rack \u2192 PDU \u2192 Phase \u2192 Branch \u2192 Outlet \u2192 IT device<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Depending on the selected Schleifenbauer PDU functionality, measurements can be taken at the input, branch, and outlet levels. PDU 5.0 supports power monitoring with a specified accuracy of 0.5% at the input and outlet levels.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For an AI rack, this can answer practical questions such as:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>How much power does the rack use?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>How is the tax distributed across L1, L2, and L3?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Which sector is approaching its capacity limit?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>How much energy does an individually connected device use?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>How much headroom is still available before additional AI hardware can be installed?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That is significantly more useful than just knowing the total energy consumption of the data center.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Outlet-level monitoring for AI and GPU infrastructure<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Outlet-level monitoring adds an extra level of granularity.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Instead of only knowing how much energy enters the PDU, the operator can monitor consumption more closely at individual connected loads.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is relevant, for example, in racks with a combination of:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>GPU computing systems, CPU servers, network switches, storage, management equipment, and other supporting IT hardware.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The PDU thus effectively forms the <strong>measurement boundary between rack power distribution and the individual IT loads<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In Managed PDU configurations, outlet-level monitoring can also be combined with remote outlet switching.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Custom outlets for AI hardware<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Power capacity alone does not determine whether a PDU is suitable for an AI rack.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The physical connections must also fit.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Different IT systems may require different plug types and outlet configurations. Moreover, in high-density racks, the available physical space for power distribution is increasingly under pressure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Therefore, at Schleifenbauer, they can <strong>The type, number, position, and layout of the outlets are configured project-specifically.<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">One of the available solutions is the <strong><a href=\"https:\/\/www.schleifenbauer.eu\/nl\/cx-lock-outlet\/\">CX Combination Outlet C13\/C15\/C19\/C21<\/a><\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A single CX outlet supports C14, C16, C20, and C22 plugs, while IEC Lock helps prevent accidental disconnection. Custom outlet combinations and load-balancing layouts can also be specified.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For AI racks with various types of equipment, this can significantly simplify the physical power design.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Redundancy is essential because an AI rack functions as a system.<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">A high-density AI rack should not necessarily be considered a collection of independent servers.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Within clustered AI environments, the failure of a single component can affect a much larger workload.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The precise redundancy architecture is determined by the AI platform used.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That could mean, for example:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>A\/B feeds<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">or<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>multiple independent power paths<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">or another architecture prescribed by the hardware supplier.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The design of the rack PDU must support this redundancy architecture, not restrict it.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Do not confuse installed PDU capacity with usable AI capacity<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">This distinction becomes increasingly important at higher power densities.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A rack can have multiple power feeds, but their combined nominal capacity is not automatically the power that can be safely allocated to IT equipment.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Redundancy, breaker ratings, phase load, upstream infrastructure, and required failover headroom all influence the actual usable capacity.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In AI deployments, capacity management must therefore answer two different questions:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>What has been installed?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">and<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>What can we safely use?<\/strong><\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Power quality becomes more important as rack density increases.<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">AI power management is not just about kW and kWh.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With high-density electronic loads, the properties of the electrical load are also becoming increasingly relevant.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Schleifenbauer PDU 5.0 and EnerTree can<a href=\"https:\/\/www.schleifenbauer.eu\/nl\/power-quality-datacenter\/\"> <strong>Power Quality Monitoring<\/strong><\/a> offer, including measurements such as Total Harmonic Distortion (THD), Crest Factor, and voltage\/current peaks.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This creates context that regular energy monitoring does not provide.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For an AI infrastructure operator, energy monitoring answers the question:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>How much energy is consumed?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Power Quality Monitoring helps provide insight into:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>What happens electrically while that power is being consumed?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The two complement each other.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">From custom AI PDU to Data Centre Energy Management<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">One intelligent PDU can provide very detailed information about a single rack.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">But an AI data center can contain hundreds or thousands of PDUs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Then the next challenge arises:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>How do you turn thousands of electrical measurements into usable operational information?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That comes <a href=\"https:\/\/www.schleifenbauer.eu\/nl\/enertree-dcem\/\"><strong>EnerTree<\/strong> <\/a>in pictures.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With Schleifenbauer PDU 5.0, the desired PDU functionality is independent of the way the intelligent PDU environment is managed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The communication architecture can be chosen independently via a <strong>Controller Module, Gateway Module or Daisy Chain Module<\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Controller Module + EnerTree Lite<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The Controller Module offers a conventional intelligent PDU architecture.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>EnerTree Lite<\/strong> Runs embedded on the Controller Module and provides a local web interface with direct access to PDU measurements.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In addition, the Controller can be directly integrated with an existing DCIM environment.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">EnerTree Lite supports environments up to <strong>100 PDUs per IP address<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For smaller AI installations or data centers that already have an existing management platform, this can provide the desired architecture.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Gateway Module + EnerTree Platform<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">For larger AI deployments, the Gateway architecture moves the intelligence from the individual PDU to <strong>EnerTree Platform<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">EnerTree Platform runs as a virtual machine outside the PDU.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The PDU functions as a real-time measurement and control point, while processing, analysis, configuration, and management take place centrally.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">One EnerTree Platform environment can scale up to <strong>10,000 PDUs<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For large GPU clusters and AI data centers, this offers a fundamentally different operating model than individually managing thousands of intelligent rack PDUs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">EnerTree offers, among other things, real-time energy monitoring, alerts, historical analysis, reporting, hierarchical infrastructure view, environmental monitoring, and PUE calculation.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Daisy Chain for scalable PDU connectivity<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Not every PDU in an AI rack or data center row needs to have its own Ethernet connection.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Multiple PDUs can be connected behind a Controller or Gateway via Daisy Chain.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Within one ring, a maximum of <strong>100 PDUs via a single IP address<\/strong> be managed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The dedicated Daisy Chain Module functions as a cost-effective data relay without its own Ethernet port. As a result, fewer network connections are required in the rack, while simultaneously limiting the Ethernet attack surface at the rack level.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This can become a significant advantage in large-scale AI deployments.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">From a single GPU outlet to full insight into the AI data center<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">The value of this architecture becomes clear when we look at the entire hierarchy:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>AI device<\/strong><br>\u2193<br><strong>Outlet<\/strong><br>\u2193<br><strong>Branch<\/strong><br>\u2193<br><strong>Phase<\/strong><br>\u2193<br><strong>PDU<\/strong><br>\u2193<br><strong>Rack<\/strong><br>\u2193<br><strong>Row<\/strong><br>\u2193<br><strong>Data center<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At the bottom of this hierarchy, the PDU distributes electricity to the AI hardware.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At the same time, the measurement data moves in the opposite direction:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Device \u2192 Outlet \u2192 Branch \u2192 Phase \u2192 PDU \u2192 Rack \u2192 EnerTree<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The physical power infrastructure thereby becomes a source of structured energy data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That is the difference between simply <strong>supply power to AI hardware<\/strong> and actually <strong>understand what is happening electrically in the AI rack<\/strong>.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Integrating AI rack power with DCIM and BMS<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">AI power data must not become a new data silo.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">EnerTree Platform and EnerTree Lite support integration with external data center systems via interfaces and protocols such as <strong>HTTP\/HTTPS, REST API, MODBUS\/TCP, SNMP v1\/v2c\/v3, IPv4\/IPv6, SMTP, Syslog and Command Line Interface<\/strong>. Additionally, data can be exported to databases such as MS SQL, MySQL, and MariaDB.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This allows electrical data at the rack level to become part of a broader DCIM, BMS, or data analysis environment.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Custom AI PDUs must also be physically configurable.<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">AI infrastructure is developing rapidly.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A PDU with the correct electrical specifications that does not physically fit properly in the rack is still the wrong PDU.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Therefore, Schleifenbauer produces PDUs build-to-order.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Configurable properties include, among others, cable length, connector type, outlet layout and position, measurement functionality, position of the communication module, identification and labeling, assembly, and other mechanical requirements.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Depending on the project, the PDU 5.0 can also be equipped with various security options, residual current sensing, environmental sensors, and additional functionalities.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is particularly relevant for OEMs, system integrators, data center designers, and operators implementing AI hardware, where the rack is increasingly designed as a single integrated system.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">What should you pay attention to when specifying a custom PDU for AI hardware?<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Don&#039;t start with the PDU. <strong>Start with the rack.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A good AI PDU specification must take at least the following points into account:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Element<\/th><th>What needs to be determined?<\/th><\/tr><\/thead><tbody><tr><td>AI hardware<\/td><td>GPU\/server platform and configuration<\/td><\/tr><tr><td>Maximum rack capacity<\/td><td>Expected load and design power<\/td><\/tr><tr><td>Power supply<\/td><td>Voltage and frequency<\/td><\/tr><tr><td>Phases<\/td><td>Single- or three-phase<\/td><\/tr><tr><td>Current intensity<\/td><td>16A, 32A, 63A or project specific<\/td><\/tr><tr><td>Redundancy<\/td><td>A\/B, N+1, 2N or hardware-specific architecture<\/td><\/tr><tr><td>Number of feeds<\/td><td>Required independent power paths<\/td><\/tr><tr><td>Connectors<\/td><td>Input plug and plug types of IT equipment<\/td><\/tr><tr><td>Outlets<\/td><td>Type, quantity, position and grouping<\/td><\/tr><tr><td>Phase distribution<\/td><td>Desired distribution over L1\/L2\/L3<\/td><\/tr><tr><td>Branch security<\/td><td>Required breaker\/fuse architecture<\/td><\/tr><tr><td>Metering<\/td><td>Input, branch and\/or outlet<\/td><\/tr><tr><td>Switching<\/td><td>Is remote outlet control necessary?<\/td><\/tr><tr><td>Monitoring<\/td><td>Energy, capacity, Power Quality, environment<\/td><\/tr><tr><td>Network<\/td><td>Controller, Gateway or Daisy Chain<\/td><\/tr><tr><td>Integration<\/td><td>DCIM\/BMS\/API\/SNMP<\/td><\/tr><tr><td>Physical design<\/td><td>0U\/19\u2033\/21\u2033, dimensions, mounting and cable entry<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The most important principle is:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><strong>Do not specify the AI rack PDU separately from the AI hardware, upstream power architecture, and redundancy architecture.<\/strong><\/p>\n<\/blockquote>\n\n\n\n<h1 class=\"wp-block-heading\">Can an existing data center be adapted for AI hardware?<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Often yes, but the available electrical capacity and distribution architecture must be assessed first.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Not every AI deployment requires an entirely new data center.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Existing facilities can potentially support GPU infrastructure by modifying rack layouts, increasing power density in specific zones, adjusting the distribution, or upgrading the rack-level power infrastructure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For existing rack infrastructure, Schleifenbauer also offers <strong>Inline Meters<\/strong> with which input-level energy metering can be added to existing Basic or older intelligent PDUs without replacing the entire installed base.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">What is the best PDU for AI hardware?<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">There is no single PDU that is the best choice for every AI deployment.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The right PDU aligns with the <strong>electrical, mechanical, redundancy, monitoring, and management requirements of the specific AI rack<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For one project, that could be a three-phase 32A Monitored PDU.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Another project might require multiple 63A feeds, outlet-level monitoring, custom CX outlets, and a Gateway Module with the EnerTree Platform.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And future AI architectures can eventually move beyond conventional rack-based AC distribution.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That is precisely why configurability is important.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">So don&#039;t just ask:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u201cWhich standard PDU is suitable for AI?\u201d<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The better question is:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u201cWhich rack power architecture does this AI hardware need?\u201d<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The PDU can then be designed around that answer.<br><br>Read also the Supermicro case study : <a href=\"https:\/\/www.schleifenbauer.eu\/nl\/cases\/case-study-supermicro\/\">https:\/\/www.schleifenbauer.eu\/nl\/cases\/case-study-supermicro\/<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Read also the Nvidia case study: <a href=\"https:\/\/www.schleifenbauer.eu\/nl\/cases\/case-study-nvidia\/\">https:\/\/www.schleifenbauer.eu\/nl\/cases\/case-study-nvidia\/<\/a><\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Schleifenbauer custom PDUs for AI hardware<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Schleifenbauer develops and manufactures rack PDUs in the Netherlands and does not work exclusively with fixed catalog configurations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For AI and high-density compute environments, this means that the PDU can be tailored to the infrastructure: <a href=\"https:\/\/www.schleifenbauer.eu\/nl\/configureerbare-pdu\/\"><strong>10A to 63A, single or three-phase, custom inputs, cable lengths, outlet configurations, protection, input\/branch\/outlet metering, remote switching, and various management architectures<\/strong>.<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">PDU 5.0 adds a modular intelligence layer to that.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Choose <strong>Controller + EnerTree Lite<\/strong> for conventional local PDU intelligence, <strong>Gateway + EnerTree Platform<\/strong> for centralized Data Centre Energy Management or use <strong>Daisy Chain<\/strong> to create scalable PDU networks with fewer Ethernet connections.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Because the communication modules are hot-swappable, the management architecture can be modified later without replacing the underlying PDU.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The result is not just a high-power rack PDU.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It is an architecture that uses AI rack power:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>configurable \u2192 measurable \u2192 visible \u2192 manageable \u2192 scalable<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">makes.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Building an AI rack? Start with the power requirements.<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Are you designing a new AI, GPU, or HPC rack? Then send Schleifenbauer the <strong>hardware specification, the rack design, the tender text or the desired electrical configuration<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Based on this, a custom rack PDU can be configured around the actual infrastructure requirements, instead of forcing the project into a predetermined PDU model.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>From the incoming rack feed to the individual AI device: design the power distribution around the hardware.<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-2 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><figcaption class=\"wp-element-caption\">Supermicro PDU<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><figcaption class=\"wp-element-caption\">NVIDIA PDU<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><figcaption class=\"wp-element-caption\">Nvidia PDU<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><figcaption class=\"wp-element-caption\">CX Combi outlet PDU<\/figcaption><\/figure>\n<\/figure>\n<p>The post <a href=\"https:\/\/www.schleifenbauer.eu\/nl\/custom-pdu-ai-hardware\/\">Custom PDUs for AI hardware: designing rack power for high-density AI infrastructure<\/a> appeared first on <a href=\"https:\/\/www.schleifenbauer.eu\/nl\">Schleifenbauer \u2013 PDUs<\/a>.<\/p>\n<p>Source: <a href=\"https:\/\/www.schleifenbauer.eu\/nl\/custom-pdu-ai-hardware\/\">https:\/\/www.schleifenbauer.eu\/nl\/custom-pdu-ai-hardware\/<\/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\/waterdichte-rj45-met-steeksluiting-2\/\" data-id=\"53071\">\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>Waterproof RJ45 with plug-in connection<\/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\">Connectivity<\/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\tElincom Electronics BV\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"single-item__articles-date\">\n\t\t\t\tSeptember 17, 2024\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\/slimmer-verbinden-sneller-installeren-de-kracht-van-de-proio-io-link-serie-van-indu-sol\/\" data-id=\"82314\">\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>Connect smarter, install faster: the power of the PROio IO-Link series from Indu-Sol<\/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\">Industrial 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\">IO Link workshop<\/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\tProkorment\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"single-item__articles-date\">\n\t\t\t\t13 May 2026\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\/introduction-of-new-series-snap-in-type-aluminum-electrolytic-capacitors\/\" data-id=\"42669\">\n\t<div class=\"single-item__articles-icon\">\n\t\t<svg width=\"103\" height=\"103\" viewbox=\"0 0 103 103\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M49.5 98.9587V82.3076C33.3844 81.2758 20.6328 67.878 20.6328 51.5019C20.6328 35.1258 33.3844 21.728 49.5 20.6962V4.04134C24.1941 5.08952 4 25.9365 4 51.5C4 77.0635 24.1941 97.9105 49.5 98.9587ZM53.5 78.2983V61.8096H76.3238C72.5238 70.9498 63.8222 77.5397 53.5 78.2983ZM49.5 78.298V61.8096H26.681C30.4804 70.9484 39.1799 77.5377 49.5 78.298ZM47.0728 57.8096H25.3773C24.8906 55.7865 24.6328 53.6743 24.6328 51.5019C24.6328 37.3358 35.5955 25.7301 49.5 24.7058V37.013H34.0466C33.2709 37.013 32.5653 37.4615 32.2359 38.1637C31.9065 38.8659 32.0128 39.6952 32.5086 40.2916L47.0728 57.8096ZM55.9249 57.8096H77.6274C78.1141 55.7865 78.3719 53.6743 78.3719 51.5019C78.3719 37.3342 67.4068 25.7275 53.5 24.7055V37.013H68.9511C69.7268 37.013 70.4324 37.4615 70.7618 38.1637C71.0912 38.8659 70.9849 39.6952 70.4891 40.2916L55.9249 57.8096ZM53.5 82.3079V98.9587C78.8059 97.9105 99 77.0635 99 51.5C99 25.9365 78.8059 5.08952 53.5 4.04134V20.6959C69.6178 21.7254 82.3719 35.1242 82.3719 51.5019C82.3719 67.8796 69.6178 81.2784 53.5 82.3079ZM0 51.5C0 23.7271 21.9843 1.08883 49.5 0.0381213V0H51.5H53.5V0.0381213C81.0157 1.08883 103 23.7271 103 51.5C103 79.9427 79.9427 103 51.5 103C23.0573 103 0 79.9427 0 51.5ZM38.3102 41.013H64.6875L51.4989 56.8765L38.3102 41.013Z\" fill=\"#2DD881\"\/>\n<\/svg>\n\t<\/div>\n\t<div class=\"single-item__articles-title\"><div class='heading-wrapper'><h3>Introduction of new series Snap-in type Aluminum Electrolytic Capacitors.<\/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\">Industrial Electronics<\/span>\n\t\t\t\t\t\t\t\t<span class=\"button button--outline single-item__articles-term--branche single-item__articles-term\">Electronics &amp; Applications<\/span>\n\t\t\t\t\t\t\t\t<span class=\"button button--outline single-item__articles-term--branche single-item__articles-term\">Capacitors<\/span>\n\t\t\t\t\t\t\t\t<span class=\"button button--outline single-item__articles-term--branche single-item__articles-term\">Passive components<\/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\tNijkerk Electronics\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"single-item__articles-date\">\n\t\t\t\tFebruary 3, 2020\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-88682","news","type-news","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is 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