{"id":69753,"date":"2026-07-14T22:14:02","date_gmt":"2026-07-14T22:14:02","guid":{"rendered":"https:\/\/www.oxfordcorp.com\/?p=69753"},"modified":"2026-07-14T22:15:34","modified_gmt":"2026-07-14T22:15:34","slug":"what-business-leaders-need-to-know-about-data-center-modernization-in-2026","status":"publish","type":"post","link":"https:\/\/www.oxfordcorp.com\/nl-d\/insights\/blog\/what-business-leaders-need-to-know-about-data-center-modernization-in-2026\/","title":{"rendered":"What\u00a0Business\u00a0Leaders Need to Know About\u00a0Data Center Modernization in 2026"},"content":{"rendered":"<p><span data-contrast=\"auto\">Data center modernization has become a strategic priority\u00a0as AI\u00a0accelerates demand for\u00a0power, cooling,\u00a0and faster capacity deployment.\u00a0The goal\u00a0isn\u2019t\u00a0simply to add\u00a0capacity, though; it is\u00a0to create an\u00a0environment that\u00a0supports\u00a0growth without\u00a0introducing\u00a0energy risk, performance bottlenecks,\u00a0siting delays,\u00a0or sustainability challenges.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Recent academic research\u00a0is reinforcing\u00a0the urgency. A 2025 Nature Energy study found that AI data centers are becoming large, grid-sensitive loads and showed that\u00a0<\/span><a href=\"https:\/\/www.nature.com\/articles\/s41560-025-01927-1\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">software-based workload orchestration can reduce cluster power use<\/span><\/a><span data-contrast=\"auto\">\u00a0by up to 25% during peak demand while\u00a0maintaining\u00a0service-level performance.\u00a0For business leaders,\u00a0modernization\u00a0is now\u00a0a\u00a0way to align\u00a0compute\u00a0growth with\u00a0the realities of energy, cooling, and cost.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">What Is Driving Data Center Modernization in 2026?<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">AI is the primary catalyst.\u00a0The International Energy Agency\u2019s 2025 Energy and AI report found that\u00a0<\/span><a href=\"https:\/\/www.iea.org\/reports\/energy-and-ai\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">data center electricity demand is accelerating<\/span><\/a><span data-contrast=\"auto\">\u00a0as adoption expands. Its 2026 follow-up reported that\u00a0<\/span><a href=\"https:\/\/www.iea.org\/news\/data-centre-electricity-use-surged-in-2025-even-with-tightening-bottlenecks-driving-a-scramble-for-solutions\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">data center electricity use rose 17%<\/span><\/a><span data-contrast=\"auto\">\u00a0in 2025, while AI-focused\u00a0facilities\u00a0grew even faster. The IEA projects\u00a0<\/span><a href=\"https:\/\/www.iea.org\/news\/ai-is-set-to-drive-surging-electricity-demand-from-data-centres-while-offering-the-potential-to-transform-how-the-energy-sector-works\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">global consumption could double<\/span><\/a><span data-contrast=\"auto\">\u00a0by 2030, with AI-focused demand poised to triple.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">In the United States,\u00a0<\/span><a href=\"https:\/\/eta-publications.lbl.gov\/sites\/default\/files\/2024-12\/lbnl-2024-united-states-data-center-energy-usage-report_1.pdf\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Lawrence Berkeley National Laboratory\u2019s 2024 United States Data Center Energy Usage Report<\/span><\/a><span data-contrast=\"auto\">\u00a0estimated\u00a0that data centers consumed 176 TWh in 2023, or about 4.4% of total U.S. electricity use. Projected consumption could reach 325 to 580 TWh by 2028 depending on\u00a0demand and\u00a0efficiency\u00a0scenarios.\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Together, these\u00a0trends are\u00a0pushing\u00a0business\u00a0leaders\u00a0to reassess power availability, cooling capacity, infrastructure design,\u00a0and\u00a0workload placement.\u00a0Traditional enterprise\u00a0environments\u00a0were not\u00a0built\u00a0for\u00a0today\u2019s AI-scale demands, from dense GPU workloads to faster, power-constrained capacity growth.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">Key Challenges Facing Data Center Leaders<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">AI\u00a0is\u00a0raising\u00a0the\u00a0stakes\u00a0across facilities, finance, sustainability, and governance, and\u00a0power availability is one of the biggest constraints. Facilities need\u00a0large, reliable electricity supplies,\u00a0while\u00a0interconnection timelines, transmission limits, transformer availability, and local grid capacity are delaying expansion in many markets.\u00a0Site\u00a0selection\u00a0must now account for:<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">Power certainty<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Utility timelines<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Permitting\u00a0risk<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Water availability<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Network access<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Community impact<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Ability to scale in phases<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Planning\u00a0must start with\u00a0energy\u00a0strategy,\u00a0not square footage alone.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Cooling is another pressure point.\u00a0Concentrated\u00a0heat loads\u00a0are pushing organizations beyond\u00a0traditional air cooling\u00a0toward\u00a0direct-to-chip liquid cooling, immersion cooling, rear-door heat exchangers, airflow containment, and dynamic thermal controls. Research in the\u00a0<\/span><a href=\"https:\/\/asmedigitalcollection.asme.org\/electronicpackaging\/article-abstract\/147\/2\/021003\/1208659\/Understanding-the-Impact-of-Data-Center-Liquid?redirectedFrom=fulltext\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">ASME Journal of Electronic Packaging<\/span><\/a><span data-contrast=\"auto\">\u00a0found that direct liquid cooling for AI and machine learning workloads reduced power use by 12%, lowered chip temperatures by 20\u00b0C, and reduced execution times by up to 6.22% compared with air cooling in the tested environment.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Modernized environments can also\u00a0increase total costs across infrastructure, energy, operations, resilience, and compliance.\u00a0Cost strategy should focus on lifecycle economics\u00a0(not\u00a0only build, migration, or cloud spend),\u00a0so leaders can understand the long-term impact of design, sourcing, and workload placement decisions.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Sustainability adds\u00a0pressure around\u00a0carbon intensity, water consumption, heat reuse, energy sourcing, and local environmental impact. Research estimated that\u00a0<\/span><a href=\"https:\/\/cacm.acm.org\/sustainability-and-computing\/making-ai-less-thirsty\/\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">training GPT-3 in Microsoft\u2019s U.S. data centers<\/span><\/a><span data-contrast=\"auto\">\u00a0directly evaporated\u00a0a total of\u00a0about\u00a05.4 million liters\u00a0of water, with approximately\u00a0500mL of water consumed for 10-50 medium-length responses, depending on the time and place of deployment.\u00a0Projected AI demand\u00a0for 2027 and beyond\u00a0could\u00a0require\u00a0billions of\u00a0cubic meters of water withdrawal\u00a0while significantly increasing electricity use, making sustainable AI infrastructure a business and community priority.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Governance is\u00a0essential\u00a0because\u00a0decisions\u00a0now\u00a0span\u00a0multiple business areas. Without\u00a0a\u00a0shared\u00a0model, organizations risk\u00a0improving\u00a0one metric while creating cost, performance,\u00a0environmental, or\u00a0regulatory problems\u00a0elsewhere. Effective programs\u00a0connect\u00a0infrastructure decisions to business priorities and long-term cost control.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">How AI\u00a0Changes\u00a0Data Center Costs<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">AI\u00a0shifts infrastructure from general-purpose\u00a0compute\u00a0to specialized, high-density environments.\u00a0Training, fine-tuning,\u00a0and large-scale inference require\u00a0dense GPU clusters, high-speed interconnects, large datasets,\u00a0resilient storage,\u00a0and\u00a0sophisticated\u00a0cooling,\u00a0thereby\u00a0changing both\u00a0the\u00a0cost profile and operating model.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Training\u00a0may create large bursts of demand, while inference and agentic AI can\u00a0drive\u00a0persistent, high-volume usage. As AI becomes embedded\u00a0in\u00a0business processes, the ongoing cost of serving models may\u00a0matter as much\u00a0as the upfront cost of training them.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Workload placement is central to cost control. Experimental\u00a0use cases\u00a0may\u00a0belong in\u00a0cloud environments, while predictable, high-volume, latency-sensitive, or regulated\u00a0workloads may justify dedicated infrastructure, colocation, or edge deployment. Leaders should model\u00a0total\u00a0cost of ownership (TCO)\u00a0across\u00a0the full AI infrastructure\u00a0lifecycle.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">Strategic Actions for Data Center Modernization<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">To modernize effectively, business leaders need a roadmap that turns AI ambition into practical infrastructure decisions. A phased approach can help\u00a0prioritize investments, reduce risk, accelerate time to capacity, and build\u00a0scalability\u00a0without overwhelming existing systems.<\/span><\/p>\n<p><span style=\"color: #333333; font-size: 22px;\" data-contrast=\"none\">1. Align Data Center Planning with AI Strategy<\/span><span style=\"color: #333333; font-size: 22px;\" data-ccp-props=\"{&quot;134233279&quot;:true,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Map\u00a0AI use cases to infrastructure requirements, including\u00a0training, fine-tuning, inference, edge processing, latency, data\u00a0sensitivity, and\u00a0regulatory controls. This\u00a0prevents\u00a0overbuilding\u00a0experimental workloads or\u00a0underbuilding\u00a0mission-critical adoption.<\/span><\/p>\n<p><span style=\"color: #333333; font-size: 22px;\">2. Assess Power, Cooling, and Network Readiness<\/span><\/p>\n<p><span data-contrast=\"auto\">Evaluate whether current facilities, cloud agreements, and colocation contracts can support high-density AI infrastructure. Review rack power limits, cooling capacity, redundancy, network bandwidth, storage performance, interconnection options, and\u00a0short-\u00a0and long-term\u00a0capacity risks.<\/span><\/p>\n<p><span style=\"color: #333333; font-size: 22px;\">3. Modernize Cooling and Thermal Management<\/span><\/p>\n<p><span data-contrast=\"auto\">Treat\u00a0cooling\u00a0as a performance, sustainability, and cost-control lever.\u00a0Direct liquid cooling, immersion cooling, airflow optimization, heat reuse, and dynamic thermal controls can\u00a0help support higher densities while reducing waste.<\/span><\/p>\n<p><span style=\"color: #333333; font-size: 22px;\" data-contrast=\"none\">4. Build Energy Strategy into Capacity Planning<\/span><span style=\"color: #333333; font-size: 22px;\" data-ccp-props=\"{&quot;134233279&quot;:true,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Integrate energy strategy\u00a0early by evaluating power availability, sourcing options, resilience needs, and grid flexibility.\u00a0Power certainty should be a gating factor for site\u00a0selection, financing, workload placement, and deployment timelines.<\/span><\/p>\n<p><span style=\"color: #333333; font-size: 22px;\">5. Use Hybrid and Workload-Specific Architectures<\/span><\/p>\n<p><span data-contrast=\"auto\">Match each workload to the environment that best fits its needs: cloud for\u00a0experimentation, colocation\u00a0for\u00a0scale and resilience, on-premises infrastructure\u00a0for\u00a0control and compliance, and edge data centers\u00a0for\u00a0low-latency operations.<\/span><\/p>\n<p><span style=\"color: #333333; font-size: 22px;\">6. Plan for Modular Expansion and Faster Deployment<\/span><\/p>\n<p><span data-contrast=\"auto\">Use modular designs, phased builds, brownfield retrofits, prefabricated infrastructure, and scalable colocation options to shorten deployment timelines and avoid overcommitting capital before demand is proven. Modular expansion can help organizations add capacity incrementally as AI workloads mature, power becomes available, and business requirements change.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h3><span data-contrast=\"none\">7. Strengthen Governance and Cost Visibility<\/span><\/h3>\n<p><span data-contrast=\"auto\">Use\u00a0shared metrics for\u00a0utilization, cost per workload, performance per watt, carbon intensity, water\u00a0use, deployment speed,\u00a0time to power,\u00a0and resiliency.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">What\u00a0Business\u00a0Leaders Should Prioritize Next<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Start\u00a0with\u00a0demand.\u00a0Forecast AI workloads, cloud growth, edge requirements, compliance needs, and sustainability goals over the next three to five years.\u00a0Then,\u00a0compare\u00a0those needs\u00a0against current\u00a0power, cooling, network,\u00a0site, contract,\u00a0cost,\u00a0and governance\u00a0capabilities\u00a0before creating\u00a0a phased roadmap\u00a0that balances speed, certainty, and scalability.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Near-term priorities<\/span><\/b><span data-contrast=\"auto\">\u00a0may include:<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">Workload assessment<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Contract review<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Site and power availability screening<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Cooling improvements<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Cost monitoring<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><b><span data-contrast=\"auto\">Mid-term priorities<\/span><\/b><span data-contrast=\"auto\">\u00a0may include:<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">Hybrid architecture design<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Colocation strategy<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Edge deployment<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Liquid cooling pilots<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Modular deployment planning<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><b><span data-contrast=\"auto\">Long-term priorities<\/span><\/b><span data-contrast=\"auto\">\u00a0may include:<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">Power procurement<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Modular\u00a0expansion<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Renewable energy integration<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">AI-ready operating models<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">Oxford Can Help<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Modernization\u00a0builds the foundation for scalable, resilient, and sustainable digital operations.\u00a0Organizations that\u00a0act\u00a0proactively will be better positioned to\u00a0control\u00a0cost,\u00a0reduce risk,\u00a0accelerate innovation, and\u00a0keep\u00a0infrastructure\u00a0from\u00a0becoming\u00a0a growth\u00a0bottleneck,\u00a0especially when speed to capacity and power certainty\u00a0determine\u00a0how quickly AI initiatives can move from pilot to production.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Leaders\u00a0who treat infrastructure as a strategic capability\u00a0and\u00a0not just an IT expense\u00a0will be better prepared for the next phase of digital transformation.\u00a0With access to experienced technical and project-based talent,\u00a0we\u00a0help accelerate modernization, reduce execution risk, and align infrastructure investments with measurable business outcomes.\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h2 aria-level=\"2\"><span data-contrast=\"none\">FAQs: Data Center Modernization and AI Infrastructure<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">As AI reshapes infrastructure requirements, business leaders are asking how to modernize without increasing cost, complexity, or risk. These FAQs clarify core concepts and planning priorities.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">What is data center modernization?<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">Data center modernization is the process of updating infrastructure, operations, and governance to support current and future workloads\u00a0across\u00a0AI, cloud, edge computing, cybersecurity, sustainability, and resilience.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">Why is data center modernization important in 2026?<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">It is important because\u00a0rising digital demand is making scalable, efficient, and well-governed infrastructure essential.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">How is AI changing data center infrastructure?<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">AI\u00a0requires\u00a0GPUs\u00a0and\u00a0accelerators, high-speed networking, advanced storage,\u00a0denser\u00a0racks, liquid cooling, and workload-specific architecture decisions.<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h3 aria-level=\"3\"><span data-contrast=\"none\">What should leaders include in a data center modernization strategy?<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;201341983&quot;:0,&quot;335559738&quot;:160,&quot;335559739&quot;:80,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">A\u00a0strong\u00a0strategy should\u00a0align\u00a0demand forecasting, infrastructure readiness, governance, cost modeling, sustainability, and phased execution.\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p>&nbsp;<br \/>\n&nbsp;<\/p>\n<div style=\"text-align: center;\">\n<p><a style=\"display: inline-block; padding: 10px 20px; background-color: #ffd300; color: #000; font-weight: bold; text-decoration: none; border-radius: 4px; box-shadow: 0px 3px 5px rgba(0, 0, 0, 0.2); transition: background-color 0.3s ease;\" href=\"https:\/\/www.oxfordcorp.com\/contact\/?utm_source=Insights&amp;utm_medium=CTA_Click&amp;utm_campaign=CTA#i'm-looking-for-talent\">CONNECT WITH OXFORD \u2192<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Learn how data center modernization can help leaders improve AI readiness, security, scalability, and cost efficiency.<\/p>\n","protected":false},"author":22,"featured_media":69785,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[183],"tags":[],"category-tag":[],"class_list":["post-69753","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.8 (Yoast SEO v27.8) - 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