{"id":88690,"date":"2026-09-23T13:39:09","date_gmt":"2026-09-23T11:39:09","guid":{"rendered":"https:\/\/fhi.nl\/nieuws\/waarom-realtime-rack-power-budgeting-de-nieuwe-standaard-wordt-in-ai-datacenters\/"},"modified":"2026-09-23T13:39:09","modified_gmt":"2026-09-23T11:39:09","slug":"waarom-realtime-rack-power-budgeting-de-nieuwe-standaard-wordt-in-ai-datacenters","status":"publish","type":"news","link":"https:\/\/fhi.nl\/en\/news\/waarom-realtime-rack-power-budgeting-de-nieuwe-standaard-wordt-in-ai-datacenters\/","title":{"rendered":"Why real-time rack power budgeting is becoming the new standard in AI data centers"},"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\tWhy real-time rack power budgeting is becoming the new standard in AI data centers\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<p class=\"wp-block-paragraph\">One question becoming increasingly important:<\/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>How much power is available *now*, instead of how much power should theoretically be available?<\/strong><\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">For data center managers, the challenge therefore shifts from power allocation to real-time power insight.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why traditional power budgeting falls short<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Virtually every capacity tool starts with the same data:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>the nominal power of the server;<\/li>\n\n\n\n<li>the maximum PSU capacity;<\/li>\n\n\n\n<li>the designed rack capacity;<\/li>\n\n\n\n<li>a safety margin.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This provides a theoretical picture of the available capacity.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In practice, AI workloads behave very differently.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">GPU servers can consume tens of percent more power within seconds when training jobs start. Inferencing, idle, and training all have different power profiles. Moreover, entire clusters can scale up simultaneously.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The consequence is that the available capacity changes constantly.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A rack that still has sufficient capacity according to the schedule can unexpectedly reach its capacity limit during a training session.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The problem does not lie in the total rack capacity.<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Many organizations only monitor the total power consumption of a rack.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That provides insight into average energy consumption, but says little about the actual load on the infrastructure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Is one phase more heavily loaded than the other?<\/li>\n\n\n\n<li>Are your A and B feeds still well balanced?<\/li>\n\n\n\n<li>Which servers cause the highest load?<\/li>\n\n\n\n<li>Which outlets still offer room for expansion?<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">It is precisely this information that determines whether new equipment can be added safely.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Therefore, the focus is increasingly shifting from rack-level monitoring to outlet-level insight.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Real-time insight makes capacity predictable<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A modern AI data center requires dynamic capacity planning.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This means that decisions are made based on current measurement data instead of theoretical assumptions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When each outlet is monitored individually, a much more accurate picture emerges of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>actual energy consumption;<\/li>\n\n\n\n<li>peak loads;<\/li>\n\n\n\n<li>load per phase;<\/li>\n\n\n\n<li>utilization of redundant feeds;<\/li>\n\n\n\n<li>available capacity for expansion.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This allows operators to fill racks more efficiently without maintaining unnecessary safety margins.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The role of intelligent PDUs<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The PDU is increasingly evolving from a power distributor into a source of operational data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A <strong>Schleifenbauer Managed PDU<\/strong> It not only measures the total rack capacity but can also provide insight into voltage, current, power, and energy consumption per outlet. This creates a much more accurate picture of the load within the rack.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For high-density AI racks, this means that capacity no longer needs to be based on assumptions, but on actual measured values.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This makes it easier to plan expansions, identify hotspots, and optimally distribute the load on the A and B feeds.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">From measurement data to operational intelligence<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Measurement data only gain value when they can be easily analyzed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">By centrally managing multiple Schleifenbauer PDUs in <strong>EnerTree<\/strong> creates a single overview of energy consumption at the rack level, including historical trends, alarms, and capacity information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That makes it possible to answer questions such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Which racks are structurally approaching their power limit?<\/li>\n\n\n\n<li>Where does the greatest strain occur during AI training?<\/li>\n\n\n\n<li>Which expansions are still possible without modifying the power infrastructure?<\/li>\n\n\n\n<li>Which racks are actually oversized?<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">With this, real-time data shifts from monitoring to decision-making.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Existing data centers also benefit<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Not every data center is being completely rebuilt.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Existing environments in particular can benefit from better energy insight.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With the <strong>Schleifenbauer Inline Meter<\/strong> The power consumption of existing racks can be measured without replacing the entire PDU. This provides quick insight into the actual load on existing infrastructure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This helps organizations better plan future AI workloads without making large immediate investments.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">From reactive to predictive energy management<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Traditionally, capacity was expanded as soon as a rack reached its limit.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Increasingly, data center managers actually want to look ahead.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">By combining historical asset data with real-time monitoring, insights into trends are gained:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>which racks are growing the fastest;<\/li>\n\n\n\n<li>when extra power will be needed;<\/li>\n\n\n\n<li>which expansions still fit within the existing infrastructure.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">With this, rack power budgeting shifts from an annual exercise to a continuous process.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">AI changes not only how much power a rack needs, but especially how that power behaves.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As a result, static capacity calculations offer increasingly less certainty.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Real-time rack power budgeting, supported by intelligent PDUs, outlet-level measurements, and central analysis platforms such as EnerTree, makes it possible to determine available capacity more accurately, reduce risks, and utilize existing infrastructure more efficiently.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For modern AI data centers, real-time asset insight thus becomes not a luxury, but an essential condition for reliable and scalable growth.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">FAQ<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>What is rack power budgeting?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Rack power budgeting is the process of planning, monitoring, and optimizing the available electrical capacity of a server rack to prevent overloading and safely enable future expansions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Why is rack power budgeting important in AI data centers?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI servers and GPU clusters cause highly fluctuating power profiles. Real-time monitoring prevents theoretical capacity calculations from leading to unexpected overload.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>How does an intelligent PDU help with rack power budgeting?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An intelligent PDU continuously measures power consumption per phase, feed, or outlet. This provides real-time insight into the available capacity and load of a rack.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>What role does EnerTree play?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">EnerTree collects and analyzes measurement data from multiple Schleifenbauer PDUs. This provides central insight into energy consumption, trends, alarms, and available rack capacity.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Can an Inline Meter monitor existing racks?<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Yes. The Schleifenbauer Inline Meter makes it possible to equip existing racks with energy metering without replacing the entire PDU.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><\/figure>\n<p>The post <a href=\"https:\/\/www.schleifenbauer.eu\/nl\/realtime-rack-power-budgeting-ai-datacenters\/\">Why real-time rack power budgeting is becoming the new standard in AI data centers<\/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\/realtime-rack-power-budgeting-ai-datacenters\/\">https:\/\/www.schleifenbauer.eu\/nl\/realtime-rack-power-budgeting-ai-datacenters\/<\/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\/hoe-zijn-de-koperlagen-van-een-pcb-opgebouwd\/\" data-id=\"41678\">\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>How are the copper layers of a PCB constructed?<\/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\">Design Automation &amp; Embedded Systems Event<\/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\tEurocircuits NV\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"single-item__articles-date\">\n\t\t\t\tJune 10, 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\/balanceren-tussen-kosten-en-beschikbaarheid-power-management-in-datacenters\/\" data-id=\"40712\">\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>Balancing Costs and Availability. Power Management in Data Centers<\/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\">IT Infrastructure<\/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\tNovember 3, 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\/press-release-logic-technology-becomes-exclusive-benelux-distributor-for-iar\/\" data-id=\"74366\">\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>PRESS RELEASE \u2013 Logic Technology becomes exclusive Benelux distributor for IAR<\/h3><\/div><\/div>\n\t<div class=\"single-item__articles-terms\">\n\t\t\n\t\t\n\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\tLogic Technology BV\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"single-item__articles-date\">\n\t\t\t\tOctober 17, 2025\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-88690","news","type-news","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - 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