{"id":5049,"date":"2026-03-30T16:04:23","date_gmt":"2026-03-30T13:04:23","guid":{"rendered":"https:\/\/altanet.ro\/?p=5049"},"modified":"2026-05-09T11:23:21","modified_gmt":"2026-05-09T08:23:21","slug":"infrastructura-ai-2026-hardware-cloud-chipuri","status":"publish","type":"post","link":"https:\/\/altanet.ro\/en\/2026\/03\/30\/infrastructura-ai-2026-hardware-cloud-chipuri\/","title":{"rendered":"AI Infrastructure: Why People Are Buying Chips Like They&#039;ll Run Out Tomorrow"},"content":{"rendered":"<p>Behind every AI model that answers your questions or generates a video clip is a huge amount of hardware \u2013 processors, servers, data centers, fiber optic cables. In 2026, the demand for all of these will far exceed the available supply. At <strong>Altanet Craiova<\/strong> We believe that understanding this infrastructure is essential for anyone who wants to make good technology decisions in the coming years.<\/p>\n<h2><span style=\"color: #0088cc;\"><strong>How big is the appetite for AI hardware?<\/strong><\/span><\/h2>\n<p>The numbers are hard to imagine. By the end of 2025, organizations around the world were spending <strong>$37 billion per year<\/strong> for AI infrastructure \u2013 three times more than in 2024. This amount represents approximately 6% of total global spending on software as a service (SaaS \u2013 i.e. applications and platforms accessed via the internet with a monthly or annual subscription).<\/p>\n<p>Demand for computing power outpaced supply in 2025 and shows no signs of stabilizing anytime soon. Companies are reserving processing capacity months or even years in advance.<\/p>\n<h2><strong>Who makes the hardware for AI?<\/strong><\/h2>\n<p>Not all processors are the same. Those used for AI are much more specialized than a typical laptop processor:<\/p>\n<ul>\n<li><strong><a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/\" target=\"_blank\" rel=\"noopener\">NVIDIA<\/a><\/strong> remains the undisputed market leader, with the H200, B200 and GB200 series \u2013 graphics processors (GPUs \u2013 graphics processing units) optimized specifically for training and running AI models. A single H200 processor costs between $30,000 and $40,000.<\/li>\n<li><strong><a href=\"https:\/\/www.amd.com\/en\/products\/accelerators\/instinct.html\" target=\"_blank\" rel=\"noopener\">AMD<\/a><\/strong> advances with competitive alternatives at lower costs, gaining ground especially in data centers.<\/li>\n<li><strong><a href=\"https:\/\/www.intel.com\/content\/www\/us\/en\/products\/docs\/processors\/what-is-a-gpu.html\" target=\"_blank\" rel=\"noopener\">Intel<\/a>, <a href=\"https:\/\/cloud.google.com\/tpu\" target=\"_blank\" rel=\"noopener\">Google<\/a>, <a href=\"https:\/\/aws.amazon.com\/machine-learning\/inferentia\/\" target=\"_blank\" rel=\"noopener\">Amazon<\/a>, <a href=\"https:\/\/news.microsoft.com\/maia-200\/\" target=\"_blank\" rel=\"noopener\">Microsoft<\/a><\/strong> they have developed their own specialized AI processors (called ASICs \u2013 application-specific integrated circuits), optimized for their internal needs.<\/li>\n<li><strong><a href=\"https:\/\/www.huawei.com\/en\/\" target=\"_blank\" rel=\"noopener\">Huawei<\/a> and <a href=\"https:\/\/www.cambricon.com\/\" target=\"_blank\" rel=\"noopener\">Cambricone<\/a><\/strong> (China) are producing competitive processors that circumvent US export restrictions, fueling China&#039;s AI development.<\/li>\n<\/ul>\n<h2><strong>What AI infrastructure spending looks like<\/strong><\/h2>\n<p>The graph below shows the evolution of global spending on AI infrastructure and the distribution by hardware type:<\/p>\n<p><!-- GRAFIC: Cheltuieli infrastructura AI | CSS-only, fara JavaScript --><\/p>\n<div style=\"font-family:Arial,sans-serif;padding:20px 24px;background:#f8f9fa;border-radius:8px;margin:24px 0;border:1px solid #e2e8f0;\">\n<div style=\"font-size:16px;font-weight:700;color:#1a202c;margin-bottom:4px;\">Global AI infrastructure spending (USD billions)<\/div>\n<div style=\"font-size:13px;color:#718096;margin-bottom:20px;\">Evolution 2023-2027 and distribution by category in 2026<\/div>\n<div style=\"font-size:11px;font-weight:700;color:#718096;text-transform:uppercase;letter-spacing:.5px;margin-bottom:8px;padding-bottom:4px;border-bottom:1px solid #e2e8f0;\">Total evolution over the years<\/div>\n<div style=\"display:flex;align-items:center;gap:10px;margin-bottom:10px;\">\n<div style=\"font-size:12px;color:#4a5568;width:50px;text-align:right;flex-shrink:0;\">2023<\/div>\n<div style=\"flex:1;background:#e2e8f0;border-radius:4px;height:28px;position:relative;\">\n<div style=\"width:17%;background:#185FA5;height:100%;border-radius:4px;min-width:4px;\"><\/div>\n<p>      <span style=\"font-size:11px;font-weight:700;color:#4a5568;position:absolute;left:calc(17% + 8px);top:50%;transform:translateY(-50%);white-space:nowrap;\">$12B<\/span>\n    <\/div><\/div>\n<div style=\"display:flex;align-items:center;gap:10px;margin-bottom:10px;\">\n<div style=\"font-size:12px;color:#4a5568;width:50px;text-align:right;flex-shrink:0;\">2024<\/div>\n<div style=\"flex:1;background:#e2e8f0;border-radius:4px;height:28px;position:relative;\">\n<div style=\"width:36%;background:#185FA5;height:100%;border-radius:4px;min-width:4px;\"><\/div>\n<p>      <span style=\"font-size:11px;font-weight:700;color:#4a5568;position:absolute;left:calc(36% + 8px);top:50%;transform:translateY(-50%);white-space:nowrap;\">$25B<\/span>\n    <\/div><\/div>\n<div style=\"display:flex;align-items:center;gap:10px;margin-bottom:10px;\">\n<div style=\"font-size:12px;color:#4a5568;width:50px;text-align:right;flex-shrink:0;\">2025<\/div>\n<div style=\"flex:1;background:#e2e8f0;border-radius:4px;height:28px;\">\n<div style=\"width:53%;background:#185FA5;height:100%;border-radius:4px;display:flex;align-items:center;padding-right:8px;justify-content:flex-end;\">\n        <span style=\"font-size:11px;font-weight:700;color:#fff;white-space:nowrap;\">$37B<\/span>\n      <\/div><\/div><\/div>\n<div style=\"display:flex;align-items:center;gap:10px;margin-bottom:10px;\">\n<div style=\"font-size:12px;color:#4a5568;width:50px;text-align:right;flex-shrink:0;\">2026<\/div>\n<div style=\"flex:1;background:#e2e8f0;border-radius:4px;height:28px;\">\n<div style=\"width:72%;background:#185FA5;height:100%;border-radius:4px;display:flex;align-items:center;padding-right:8px;justify-content:flex-end;\">\n        <span style=\"font-size:11px;font-weight:700;color:#fff;white-space:nowrap;\">$50B (est.)<\/span>\n      <\/div><\/div><\/div>\n<div style=\"display:flex;align-items:center;gap:10px;margin-bottom:10px;\">\n<div style=\"font-size:12px;color:#4a5568;width:50px;text-align:right;flex-shrink:0;\">2027<\/div>\n<div style=\"flex:1;background:#e2e8f0;border-radius:4px;height:28px;\">\n<div style=\"width:100%;background:#85B7EB;height:100%;border-radius:4px;display:flex;align-items:center;padding-right:8px;justify-content:flex-end;\">\n        <span style=\"font-size:11px;font-weight:700;color:#fff;white-space:nowrap;\">$70B (project)<\/span>\n      <\/div><\/div><\/div>\n<div style=\"font-size:11px;font-weight:700;color:#718096;text-transform:uppercase;letter-spacing:.5px;margin-bottom:8px;margin-top:20px;padding-bottom:4px;border-bottom:1px solid #e2e8f0;\">Distribution by category in 2026<\/div>\n<div style=\"display:flex;align-items:center;gap:10px;margin-bottom:10px;\">\n<div style=\"font-size:12px;color:#4a5568;width:180px;text-align:right;flex-shrink:0;\">GPU\/ASIC processors<\/div>\n<div style=\"flex:1;background:#e2e8f0;border-radius:4px;height:28px;\">\n<div style=\"width:55%;background:#185FA5;height:100%;border-radius:4px;display:flex;align-items:center;padding-right:8px;justify-content:flex-end;\">\n        <span style=\"font-size:11px;font-weight:700;color:#fff;white-space:nowrap;\">55%<\/span>\n      <\/div><\/div><\/div>\n<div style=\"display:flex;align-items:center;gap:10px;margin-bottom:10px;\">\n<div style=\"font-size:12px;color:#4a5568;width:180px;text-align:right;flex-shrink:0;\">Data centers and servers<\/div>\n<div style=\"flex:1;background:#e2e8f0;border-radius:4px;height:28px;\">\n<div style=\"width:28%;background:#185FA5;height:100%;border-radius:4px;display:flex;align-items:center;padding-right:8px;justify-content:flex-end;\">\n        <span style=\"font-size:11px;font-weight:700;color:#fff;white-space:nowrap;\">28%<\/span>\n      <\/div><\/div><\/div>\n<div style=\"display:flex;align-items:center;gap:10px;margin-bottom:10px;\">\n<div style=\"font-size:12px;color:#4a5568;width:180px;text-align:right;flex-shrink:0;\">Networks and connectivity<\/div>\n<div style=\"flex:1;background:#e2e8f0;border-radius:4px;height:28px;position:relative;\">\n<div style=\"width:17%;background:#85B7EB;height:100%;border-radius:4px;min-width:4px;\"><\/div>\n<p>      <span style=\"font-size:11px;font-weight:700;color:#4a5568;position:absolute;left:calc(17% + 8px);top:50%;transform:translateY(-50%);white-space:nowrap;\">17%<\/span>\n    <\/div><\/div>\n<div style=\"display:flex;gap:20px;margin-top:16px;\">\n<div style=\"display:flex;align-items:center;gap:6px;font-size:12px;color:#718096;\">\n<div style=\"width:12px;height:12px;border-radius:3px;background:#185FA5;flex-shrink:0;\"><\/div>\n<p>Actual \/ estimated data\n    <\/p><\/div>\n<div style=\"display:flex;align-items:center;gap:6px;font-size:12px;color:#718096;\">\n<div style=\"width:12px;height:12px;border-radius:3px;background:#85B7EB;flex-shrink:0;\"><\/div>\n<p>Projection\n    <\/p><\/div><\/div>\n<div style=\"font-size:11px;color:#a0aec0;margin-top:16px;\">Sources: <a href=\"https:\/\/www.ibm.com\/think\" target=\"_blank\" rel=\"noopener\" style=\"color:#a0aec0;\">IBM Think<\/a>, <a href=\"https:\/\/www.gartner.com\" target=\"_blank\" rel=\"noopener\" style=\"color:#a0aec0;\">Gartner<\/a>, <a href=\"https:\/\/www.statista.com\" target=\"_blank\" rel=\"noopener\" style=\"color:#a0aec0;\">statistically<\/a> \u2013 2026<\/div>\n<\/div>\n<p><!-- END GRAFIC Altanet --><\/p>\n<h2><strong>Cloud, hybrid or on-premises \u2013 where does AI work?<\/strong><\/h2>\n<p>Not all companies can afford or want to buy their own processors. In 2026, there are three main models for accessing AI infrastructure:<\/p>\n<ul>\n<li><strong>Cloud:<\/strong> you pay for what you use, without initial investment. <a href=\"https:\/\/aws.amazon.com\" target=\"_blank\" rel=\"noopener\">Amazon AWS<\/a>, <a href=\"https:\/\/azure.microsoft.com\" target=\"_blank\" rel=\"noopener\">Microsoft Azure<\/a> and <a href=\"https:\/\/cloud.google.com\" target=\"_blank\" rel=\"noopener\">Google Cloud<\/a> offers access to top AI processors via subscription. Advantage: flexibility. Disadvantage: costs can increase quickly at high volume.<\/li>\n<li><strong>Hybrid:<\/strong> some of the processing is done in the cloud, some on-premises. Estimates show that 751% of AI used in large companies will be on hybrid infrastructures by 2028.<\/li>\n<li><strong>Local (Edge AI):<\/strong> small models that work directly on your phone, laptop or industrial equipment, without an internet connection. In 2026, this option went from experimental to commercial reality.<\/li>\n<\/ul>\n<h3><strong>What&#039;s next?<\/strong><\/h3>\n<p>Kaoutar El Maghraoui from <a href=\"https:\/\/www.ibm.com\" target=\"_blank\" rel=\"noopener\">IBM<\/a> anticipates the emergence of a new class of specialized processors for AI agents \u2013 different from today&#039;s GPUs, optimized for tasks specific to autonomous agents. The competition is no longer on models, but on integrated systems. In 2027, 70% in organizations will prioritize aligning investments in AI infrastructure with measurable business results \u2013 they no longer invest anyway, but strategically.<\/p>\n<p>If your company uses or plans to use AI and you want to understand which infrastructure suits you best, the team <strong>Altanet Craiova<\/strong> can help you with a concrete evaluation. Visit our website <a href=\"https:\/\/altanet.ro\/en\/contact\/\">contact<\/a> and let&#039;s discuss.<\/p>\n<hr \/>\n<p><em>This article is part of Altanet&#039;s series on AI trends in 2026. Next article: <a href=\"https:\/\/altanet.ro\/en\/2026\/03\/31\/securitate-ai-2026-atacuri-vulnerabilitati\/\">AI Security: The New Types of Attacks That No Classic Antivirus Protects You From<\/a>. See also <a href=\"https:\/\/altanet.ro\/en\/2026\/03\/30\/tendinte-ai-2026-ghid-complet\/\">the complete guide to the series<\/a>.<\/em><\/p>","protected":false},"excerpt":{"rendered":"<p>AI Infrastructure 2026: $37 billion spent on hardware, GPUs exhausted, and competition between cloud, hybrid, and local processing.<\/p>","protected":false},"author":2,"featured_media":5052,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[228],"tags":[365],"class_list":["post-5049","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-inteligenta-artificiala","tag-infrastructuraai-nvidia-gpu-cloudai-edgeai-altanetcraiova-tehnologie2026"],"featured_image_src":{"landsacpe":["https:\/\/altanet.ro\/wp-content\/uploads\/2026\/03\/infrastructura-ai-de-ce-lumea-cumpara-chip-uri-ca-si-cum-s-ar-termina-maine-v2-1140x445.webp",1140,445,true],"list":["https:\/\/altanet.ro\/wp-content\/uploads\/2026\/03\/infrastructura-ai-de-ce-lumea-cumpara-chip-uri-ca-si-cum-s-ar-termina-maine-v2-463x348.webp",463,348,true],"medium":["https:\/\/altanet.ro\/wp-content\/uploads\/2026\/03\/infrastructura-ai-de-ce-lumea-cumpara-chip-uri-ca-si-cum-s-ar-termina-maine-v2-300x164.webp",300,164,true],"full":["https:\/\/altanet.ro\/wp-content\/uploads\/2026\/03\/infrastructura-ai-de-ce-lumea-cumpara-chip-uri-ca-si-cum-s-ar-termina-maine-v2-scaled.webp",2560,1396,false]},"yoast_head":"<!-- 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