{"id":3050,"date":"2024-10-15T11:16:33","date_gmt":"2024-10-15T09:16:33","guid":{"rendered":"https:\/\/mdcs.nl\/knowledge\/?page_id=3050"},"modified":"2024-10-17T14:48:56","modified_gmt":"2024-10-17T12:48:56","slug":"test-page","status":"publish","type":"page","link":"https:\/\/mdcs.nl\/knowledge\/test-page\/","title":{"rendered":"Test Page"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"3050\" class=\"elementor elementor-3050\" data-elementor-settings=\"{&quot;ha_cmc_init_switcher&quot;:&quot;no&quot;}\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f1d13c6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f1d13c6\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-226d2ed\" data-id=\"226d2ed\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ce27df5 elementor-widget elementor-widget-image\" data-id=\"ce27df5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/mdcs.nl\/knowledge\/wp-content\/uploads\/2021\/05\/Gebouw-en-logo-1024x576.jpg\" class=\"attachment-large size-large wp-image-10\" alt=\"MDCS Office in Gouda\" srcset=\"https:\/\/mdcs.nl\/knowledge\/wp-content\/uploads\/2021\/05\/Gebouw-en-logo-1024x576.jpg 1024w, https:\/\/mdcs.nl\/knowledge\/wp-content\/uploads\/2021\/05\/Gebouw-en-logo-300x169.jpg 300w, https:\/\/mdcs.nl\/knowledge\/wp-content\/uploads\/2021\/05\/Gebouw-en-logo-768x432.jpg 768w, https:\/\/mdcs.nl\/knowledge\/wp-content\/uploads\/2021\/05\/Gebouw-en-logo-1536x864.jpg 1536w, https:\/\/mdcs.nl\/knowledge\/wp-content\/uploads\/2021\/05\/Gebouw-en-logo.jpg 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-section elementor-top-section elementor-element elementor-element-9711aca elementor-section-full_width elementor-section-height-full elementor-section-stretched content-scroll elementor-section-height-default elementor-section-items-middle\" data-id=\"9711aca\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;background_background&quot;:&quot;gradient&quot;,&quot;_ha_eqh_enable&quot;:&quot;yes&quot;,&quot;_ha_eqh_widget&quot;:[&quot;text-editor&quot;],&quot;_ha_eqh_to&quot;:&quot;widget&quot;,&quot;_ha_eqh_disable_on_tablet&quot;:&quot;no&quot;,&quot;_ha_eqh_disable_on_mobile&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<section class=\"elementor-column elementor-col-14 elementor-top-column elementor-element elementor-element-9f35293 panel\" data-id=\"9f35293\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-dcfc2a2 elementor-widget elementor-widget-heading\" data-id=\"dcfc2a2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Cloud vs. On-Prem AI<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-abec678 elementor-widget elementor-widget-heading\" data-id=\"abec678\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The graph highlights how the importance of various decision criteria changes depending on where a customer is in their AI journey, specifically between the training and inference stages: <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-80ce620 elementor-widget elementor-widget-image\" data-id=\"80ce620\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"893\" height=\"420\" src=\"https:\/\/mdcs.nl\/knowledge\/wp-content\/uploads\/2024\/10\/importance-decis-crit-train-infer.png\" class=\"attachment-large size-large wp-image-3120\" alt=\"\" srcset=\"https:\/\/mdcs.nl\/knowledge\/wp-content\/uploads\/2024\/10\/importance-decis-crit-train-infer.png 893w, https:\/\/mdcs.nl\/knowledge\/wp-content\/uploads\/2024\/10\/importance-decis-crit-train-infer-300x141.png 300w, https:\/\/mdcs.nl\/knowledge\/wp-content\/uploads\/2024\/10\/importance-decis-crit-train-infer-768x361.png 768w\" sizes=\"(max-width: 893px) 100vw, 893px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4d81d52 elementor-widget elementor-widget-text-editor\" data-id=\"4d81d52\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Cloud solutions are ideal for starting your AI journey and experimenting, provided compliance requirements and data-sharing with cloud providers align. However, the needs change as your AI workloads transition into production (inference). At this stage, you require a scalable solution that delivers high performance, is cost-effective, ensures predictable expenses, and remains sustainable. We often see significant benefits in owning an AI stack, whether on-premises or hosted in an energy-efficient data centre in the Benelux or Nordics, managed by your team, or fully backed by MDCS.AI.<br \/>MDCS.AI offers objective insights to help you compare cloud-based and on-premises AI solutions, focusing on performance, cost predictability, sustainability and scalability. While we acknowledge the value of cloud solutions, we&#8217;ve found that owning an AI stack provides greater control, efficiency, and scalability. Our analysis streamlines decision-making, ensuring you select the best infrastructure for your unique needs.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-column elementor-col-14 elementor-top-column elementor-element elementor-element-caa9457 panel\" data-id=\"caa9457\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ab61e77 elementor-widget elementor-widget-heading\" data-id=\"ab61e77\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Control<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8eb7dc7 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"8eb7dc7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"800px\" height=\"800px\" viewBox=\"0 0 512 512\"><defs><style>.cls-1{fill:none;stroke:#000000;stroke-linecap:round;stroke-linejoin:round;stroke-width:20px;}<\/style><\/defs><g data-name=\"Layer 2\" id=\"Layer_2\"><g data-name=\"E428, Control, media, multimedia, player, stop\" id=\"E428_Control_media_multimedia_player_stop\"><rect class=\"cls-1\" height=\"492\" rx=\"50.2\" width=\"492\" x=\"10\" y=\"10\"><\/rect><line class=\"cls-1\" x1=\"87.59\" x2=\"87.59\" y1=\"391.67\" y2=\"232.61\"><\/line><line class=\"cls-1\" x1=\"87.59\" x2=\"87.59\" y1=\"157.76\" y2=\"120.33\"><\/line><circle class=\"cls-1\" cx=\"87.59\" cy=\"195.18\" r=\"37.42\"><\/circle><line class=\"cls-1\" x1=\"199.86\" x2=\"199.86\" y1=\"391.67\" y2=\"351.39\"><\/line><line class=\"cls-1\" x1=\"199.86\" x2=\"199.86\" y1=\"276.54\" y2=\"120.33\"><\/line><circle class=\"cls-1\" cx=\"199.86\" cy=\"313.96\" r=\"37.42\"><\/circle><line class=\"cls-1\" x1=\"312.14\" x2=\"312.14\" y1=\"391.67\" y2=\"232.61\"><\/line><line class=\"cls-1\" x1=\"312.14\" x2=\"312.14\" y1=\"157.76\" y2=\"120.33\"><\/line><circle class=\"cls-1\" cx=\"312.14\" cy=\"195.18\" r=\"37.42\"><\/circle><line class=\"cls-1\" x1=\"424.41\" x2=\"424.41\" y1=\"391.67\" y2=\"305.75\"><\/line><line class=\"cls-1\" x1=\"424.41\" x2=\"424.41\" y1=\"230.9\" y2=\"120.33\"><\/line><circle class=\"cls-1\" cx=\"424.41\" cy=\"268.32\" r=\"37.42\"><\/circle><\/g><\/g><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5340f32 elementor-widget elementor-widget-text-editor\" data-id=\"5340f32\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"TextRun SCXW141252243 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW141252243 BCX8\">During the training phase, the need for control over the infrastructure is <\/span><span class=\"NormalTextRun SCXW141252243 BCX8\">generally less<\/span><span class=\"NormalTextRun SCXW141252243 BCX8\"> critical, as the focus is often on experimentation and flexibility, which makes cloud solutions appealing. However, as AI workloads move into the inference stage, control becomes much more important. This is because owning the infrastructure allows for tighter integration, better data management, and enhanced security.<\/span><\/span><span class=\"EOP SCXW141252243 BCX8\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-column elementor-col-14 elementor-top-column elementor-element elementor-element-7b8754c panel\" data-id=\"7b8754c\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-97e2998 elementor-widget elementor-widget-heading\" data-id=\"97e2998\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Sustainability<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bcc465d elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"bcc465d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" fill=\"#000000\" width=\"800px\" height=\"800px\" viewBox=\"0 0 56 56\" id=\"Layer_1\" xml:space=\"preserve\"><path d=\"M53,30.1c0-0.4-0.3-0.8-0.7-0.9c-0.2-0.1-5-1.5-8,0.8c-0.3,0.3-0.6,0.6-0.9,0.9v-2.2c1.5-1.2,6.4-5.4,6.4-10.7  c0-6.1-6.5-10.8-6.8-11c-0.3-0.2-0.8-0.2-1.2,0c-0.3,0.2-6.8,4.9-6.8,11c0,5.3,4.9,9.5,6.4,10.7v2.9c-0.3-0.4-0.7-0.8-1.1-1.1  c-3.1-2.2-7.8-0.6-8-0.6c-0.4,0.1-0.7,0.5-0.7,0.9c0,0.2,0,5.2,3.1,7.4c1.3,0.9,2.8,1.2,4.2,1.2c1,0,1.8-0.1,2.5-0.3v2.2  c0,3.3-2.7,6-6,6H17.3c-3.3,0-6-2.7-6-6V27.1c3.6-0.5,6.4-3.6,6.4-7.3v-6.4c0-0.6-0.4-1-1-1h-2.2V8.7c0-0.6-0.4-1-1-1s-1,0.4-1,1  v3.8H8V8.7c0-0.6-0.4-1-1-1s-1,0.4-1,1v3.8H4c-0.6,0-1,0.4-1,1v6.4c0,3.7,2.8,6.8,6.4,7.3v14.2c0,4.4,3.6,8,8,8h18.1  c4.4,0,8-3.6,8-8v-2.6c0.6,0.1,1.4,0.2,2.2,0.2c1.5,0,3.1-0.3,4.5-1.3C53.1,35.3,53,30.3,53,30.1z M5,19.9v-5.4h10.7v5.4  c0,3-2.4,5.4-5.4,5.4S5,22.8,5,19.9z M37,17.9c0-4.1,3.9-7.7,5.4-8.9c1.5,1.2,5.4,4.8,5.4,8.9c0,3.4-2.6,6.4-4.4,8.1v-8.1  c0-0.6-0.4-1-1-1s-1,0.4-1,1V26C39.6,24.3,37,21.3,37,17.9z M35.8,36.6c-1.7-1.2-2.1-3.8-2.3-5c1.2-0.3,3.8-0.7,5.5,0.5  c1.7,1.2,2.1,3.8,2.3,5C39.9,37.5,37.4,37.7,35.8,36.6z M48.9,36c-1.6,1.2-4.2,0.9-5.5,0.7c0.1-1.3,0.5-3.8,2.1-5.1  c1.6-1.2,4.2-0.9,5.5-0.7C50.9,32.2,50.5,34.8,48.9,36z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d92297b elementor-widget elementor-widget-text-editor\" data-id=\"d92297b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Sustainability is typically a lower priority during the initial training phase, focusing on developing models and testing hypotheses. However, as models transition into production (inference), energy consumption and environmental impact become significant factors. This shift is particularly relevant for organisations aiming to reduce their carbon footprint, making a sustainable on-premises or hosted solution more appealing.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-column elementor-col-14 elementor-top-column elementor-element elementor-element-63ea7d8 panel\" data-id=\"63ea7d8\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5bd8bdb elementor-widget elementor-widget-heading\" data-id=\"5bd8bdb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">TCO (Total Cost of Ownership)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9303f37 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"9303f37\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" fill=\"#000000\" height=\"800px\" width=\"800px\" id=\"Layer_1\" viewBox=\"0 0 512 512\" xml:space=\"preserve\"><g>\t<g>\t\t<path d=\"M427.023,111.165c-4.428,0-8.017,3.589-8.017,8.017V487.95c0,4.421-3.596,8.017-8.017,8.017H101.01   c-4.421,0-8.017-3.596-8.017-8.017v-69.478c0-4.427-3.589-8.017-8.017-8.017s-8.017,3.589-8.017,8.017v69.478   c0,13.262,10.788,24.05,24.05,24.05H410.99c13.261,0,24.05-10.788,24.05-24.05V119.182   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v59.858c0,4.427,3.589,8.017,8.017,8.017h34.205c4.428,0,8.017-3.589,8.017-8.017v-26.188h18.171v26.188   c0,4.427,3.588,8.017,8.017,8.017h34.205c4.428,0,8.017-3.589,8.017-8.017v-59.858   C366.63,117.056,365.786,115.016,364.283,113.513z M350.597,171.023h-18.171v-26.188c0-4.427-3.588-8.017-8.017-8.017h-34.205   c-4.428,0-8.017,3.589-8.017,8.017v26.188h-18.171v-48.521l43.29-43.29l43.29,43.29V171.023z\"><\/path>\t<\/g><\/g><g>\t<g>\t\t<path d=\"M218.913,70.758c-3.131-3.131-8.207-3.131-11.337,0l-64.134,64.134c-4.939,4.937-1.343,13.685,5.668,13.685   c2.051,0,4.103-0.782,5.668-2.348l64.134-64.134C222.043,78.963,222.043,73.887,218.913,70.758z\"><\/path>\t<\/g><\/g><g>\t<g>\t\t<path d=\"M227.464,122.064c-3.131-3.131-8.207-3.131-11.337,0l-25.653,25.653c-2.919,2.918-3.113,7.74-0.427,10.877   c2.998,3.501,8.502,3.721,11.763,0.46l25.653-25.653C230.595,130.27,230.595,125.194,227.464,122.064z\"><\/path>\t<\/g><\/g><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bc66e24 elementor-widget elementor-widget-text-editor\" data-id=\"bc66e24\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>During training, the TCO is not always a primary concern because the focus is on short-term experimentation, and cloud costs can be more manageable. However, as inference workloads scale, TCO becomes crucial. Owning the AI stack can provide significant cost savings over time, especially when the demand for compute increases, making it necessary to manage costs effectively.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-column elementor-col-14 elementor-top-column elementor-element elementor-element-04033ba panel\" data-id=\"04033ba\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2d45e9e elementor-widget elementor-widget-heading\" data-id=\"2d45e9e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Cost Predictability<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-06610c1 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"06610c1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" fill=\"#000000\" height=\"800px\" width=\"800px\" id=\"Layer_1\" viewBox=\"0 0 512 512\" xml:space=\"preserve\"><g>\t<g>\t\t<path d=\"M503.983,409.386c4.428,0,8.017-3.588,8.017-8.017V119.182c0-2.126-0.844-4.164-2.347-5.669l-85.511-85.511   c-1.505-1.503-3.543-2.347-5.669-2.347H238.363V24.05c0-13.261-10.789-24.05-24.05-24.05H24.05C10.789,0,0,10.789,0,24.05v258.672   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significant factor in inference. High-performance and large-scale deployments require predictable budgeting to avoid unexpected expenses, making a controlled, on-premises solution more attractive.\n&nbsp;\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-column elementor-col-14 elementor-top-column elementor-element elementor-element-d885163 panel\" data-id=\"d885163\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7b1dd1d elementor-widget elementor-widget-heading\" data-id=\"7b1dd1d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Performance<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bf40bcb elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"bf40bcb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" width=\"800px\" height=\"800px\" viewBox=\"0 0 24.00 24.00\" fill=\"#fa0000\" transform=\"rotate(0)matrix(1, 0, 0, 1, 0, 0)\" stroke=\"#fa0000\"><g id=\"SVGRepo_bgCarrier\" stroke-width=\"0\"><\/g><g id=\"SVGRepo_tracerCarrier\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke=\"#000000CCCCCC\" stroke-width=\"0.096\"><\/g><g id=\"SVGRepo_iconCarrier\"><g stroke-width=\"0.00024000000000000003\" fill=\"none\" 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class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Performance is a key concern throughout both the training and inference phases. However, as the demand for compute increases during inference, ensuring high performance becomes even more critical. This need for high compute power and real-time processing often drives organizations to consider an on-premises AI stack that can be optimized for maximum efficiency.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-column elementor-col-14 elementor-top-column elementor-element elementor-element-ec18f35 panel\" data-id=\"ec18f35\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4bd8cbb elementor-widget elementor-widget-heading\" data-id=\"4bd8cbb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Transition<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b335f3b elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"b335f3b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"800px\" height=\"800px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M2 18V6C2 4.34315 3.34315 3 5 3H7C8.65685 3 10 4.34315 10 6V18C10 19.6569 8.65685 21 7 21H5C3.34315 21 2 19.6569 2 18Z\" stroke=\"#000000\" stroke-width=\"1.5\"><\/path><path d=\"M16 3H18C20.2091 3 22 4.79086 22 7V17C22 19.2091 20.2091 21 18 21H16\" stroke=\"#000000\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path><path d=\"M10 12H18M18 12L15 9M18 12L15 15\" stroke=\"#000000\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8524fe1 elementor-widget elementor-widget-text-editor\" data-id=\"8524fe1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The transition from training to inference often represents a tipping point where the emphasis shifts from flexibility and initial experimentation to a focus on control, cost management, and performance. MDCS.AI helps organizations navigate these changes, providing solutions that match the specific needs of their AI journey.<br \/>\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-38a8c80 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"38a8c80\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-502fd30\" data-id=\"502fd30\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1897b85 elementor-widget elementor-widget-image\" data-id=\"1897b85\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/mdcs.nl\/knowledge\/wp-content\/uploads\/2021\/05\/Gebouw-en-logo-1024x576.jpg\" class=\"attachment-large size-large wp-image-10\" alt=\"MDCS Office in Gouda\" srcset=\"https:\/\/mdcs.nl\/knowledge\/wp-content\/uploads\/2021\/05\/Gebouw-en-logo-1024x576.jpg 1024w, https:\/\/mdcs.nl\/knowledge\/wp-content\/uploads\/2021\/05\/Gebouw-en-logo-300x169.jpg 300w, https:\/\/mdcs.nl\/knowledge\/wp-content\/uploads\/2021\/05\/Gebouw-en-logo-768x432.jpg 768w, https:\/\/mdcs.nl\/knowledge\/wp-content\/uploads\/2021\/05\/Gebouw-en-logo-1536x864.jpg 1536w, https:\/\/mdcs.nl\/knowledge\/wp-content\/uploads\/2021\/05\/Gebouw-en-logo.jpg 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f0c2dc9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f0c2dc9\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0210be5\" data-id=\"0210be5\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8644bc5 elementor-widget elementor-widget-shortcode\" data-id=\"8644bc5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\"><script>\n\t\n\tfunction run_gsap(){\n\t   let gsap_loaded = setInterval(function(){\n\t\t    const eleBuilder = document.querySelector('body').classList.contains(\"elementor-editor-active\");\n\t\t\tconst screenSize = window.screen.width >= 1025;\n     \t\tif(window.gsap && window.ScrollTrigger && !eleBuilder && screenSize){\n\t\t\t\tgsap.registerPlugin(ScrollTrigger);\n         \t\toverlay_zoom();\n        \t\tclearInterval(gsap_loaded);\n    \t\t}\n\t\t\t}, 500);\n\t\n\tfunction overlay_zoom()\n\t\t{\n\t\tlet sections = gsap.utils.toArray(\".panel\");\n\t\t\t\/\/console.log(sections);\n\t\t\t\/\/console.log(sections.length);\n\n\t\tgsap.to(sections, {\n  \t\t\txPercent: -100 * (sections.length - 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