{"success":true,"data":{"pressRelease":{"id":"166373","rtpr_id":"nGNX6tXcd6-20261012","ticker":"AMZN","exchange":"NASDAQ","all_tickers":["AMZN","AZIO","GOOGL","MSFT","NVDA"],"title":"Contracted Capacity Becomes Key Metric for AI Infrastructure Investors to Watch","author":"Globe Newswire","published_at":"2026-10-12T12:30:00.322Z","article_body":"AUSTIN, Texas, Oct. 12, 2026 (GLOBE NEWSWIRE) -- AINewsWire Editorial Coverage\n(https://www.globenewswire.com/Tracker?data=Ek9JdDHUdoav5zTK0Y-qp1mv3kvNEbnf3x46PMBkG0hYrBTq3TBzkWqTCH3X_ke5TNixjhgQN5yrYB7v11XpKaNnj7-64czJGaaasT9ZzU7O0ajTZYwaR2srkLhqTnmv):\nThe artificial intelligence industry is racing to build computing capacity.\nBut a new constraint is emerging just as quickly: electricity. The\nInternational Energy Agency projects\n(https://www.globenewswire.com/Tracker?data=CKafVVKhDs1GyhpOgh-9zRlvlKD0lq5U2VzCM2PH3a7Iz2_BVBjW2Yk7mNrVVriDMCRHLW0TjsEQu5nYBQgzrKzLAoTKWdf7nQIM6YL7ITqN78DEkkuSKMUXRYyvgOjAcAXsBP5XJdPqm5idLgMa1CejFPXqBFgP_vh32vy3r6-JtqYoSNg0hIpzfd1J45ZFc7vdwfyYjtyXp1Jv1jXUsQ==)\nthat global data-center electricity demand will keep climbing sharply through\n2030. Goldman Sachs forecasts\n(https://www.globenewswire.com/Tracker?data=61U336rRBqfCkyRYWR6NRhfw2EeDj-PuUJSb2RaA2JhmcbYguISPbighHMNdCNRyqgW3_sID2aS5Vjp4q6hfmg==) roughly\n15% compound annual growth in U.S. data-center power demand from 2023 through\n2030, with data centers potentially accounting for approximately 8% of total\nU.S. electricity use by then. That widening gap between AI's appetite for\ncompute and the grid's ability to deliver power is reshaping how, and where,\nAI infrastructure gets built. It is precisely the opportunity AZIO AI Holdings\nInc. (NASDAQ: AZIO) (profile\n(https://www.globenewswire.com/Tracker?data=6Rdq2A3Ws4h4XKWM00MoAnRNgilNenfS1vuYvuIdUJ4MUSUolSW1tLQZV3JLGkx0KpZStbKHgYd1FVU_0M8K0I1QoBvttSArukqO7Y8QVh4=))\nis pursuing through its power-backed compute campuses, including its south\nTexas project, Atlas One. The company has now taken a concrete step in that\ndirection, signing\n(https://www.globenewswire.com/Tracker?data=3iYwh33NsnDCS6hZirDNxXp7lKTKVfQaUV2gKC7WzZ-v1fJNHPsStWIPI3_ncAf8HDMn_s9l39BcKeK8A-BViw==)\nits first hosting agreement at Atlas One with Power Champion Investment\nLimited, covering an initial 10 megawatts of capacity with expansion rights up\nto 50 megawatts. That agreement gives Atlas One its first contracted, paying\ncustomer and positions AZIO AI with other leading technology and\ninfrastructure providers whose products and services form the backbone of the\nglobal AI buildout, including NVIDIA Corporation\n(https://www.globenewswire.com/Tracker?data=RSk5kxnZBIdfIJXBDqZJSnETiukF4s2UJnhdN0bIlDRduZcvJGUpJJuuTtLWzfM-VfIv61ptN5uV36k9EmR8gAiSMVQ-Lczwg4kl7TyDNuE=)\n(NASDAQ: NVDA), Microsoft Corporation\n(https://www.globenewswire.com/Tracker?data=V5DSO3b2b8oYR_-xbjo4YQ9dKZZHCQOFzWkWPyZg57qhqhupmk8w0V2ZHacmW4BLCDa3jC_LnQAum6GMPWckmoyAQJHznzcEhhaDm7pHbZV3y2xlTlngnMIFDZQhQl4XlQxKRAc2D0rtfmYA9QSWcbPnmfXor9ZEhMlCH48Q-afdek1aG6RONmv2iAw-966Y)\n(NASDAQ: MSFT), Amazon.com Inc.\n(https://www.globenewswire.com/Tracker?data=2kwdPOy35kAlFwmulFEyOHoUvpuVqFpBDX4cFxagjvGc49ucBEtiXN1JZUExVCkacpaYCG1WYZmSAZ2k4NJ_HLFiEZqEC7MOJ8qw6586o6agJVdLPtHha5ltnCBcqlKVI13tUzJS1UAQTE_5eIDGa00Xsqf2coWLRL2MTrYjNaw=)\n(NASDAQ: AMZN) and Alphabet Inc.\n(https://www.globenewswire.com/Tracker?data=Eeb45b2o85TOfDojzqu32dbhAA_QY0-8P63ILkDilXsTXCIMZzs1BkJzgrk96TkDhqzM0Ten1YuLCeq1KoLAHFjnkdDeEXafdX9poiYLbdGpF-Rj6c_a6eh-pnFKgGNWn6pHf4lhlXVe16z0YrOpdIJ9EHL0QM2jC-cFL_jkC24=)\n(NASDAQ: GOOGL).\n* The rapid deployment of AI models, agents and GPU systems is demand for\nelectricity, energized land, interconnection, cooling and purpose-built\ndata-center capacity, often all at the same site. \n* The AI industry is shifting away from traditional data-center design and\ntoward what NVIDIA calls “AI factories.”\n* AZIO AI's Atlas One campus is built around this logic: designed for phased,\nbehind-the-meter capacity additions rather than a single large-grid\nconnection.\n* AZIO AI has taken a concrete step toward turning that model into revenue by\nsigning its first hosting agreement at Atlas One, with Power Champion\nInvestment Limited contracting for an initial 10 megawatts of capacity.\n* Beyond its first contracted customer, Atlas One offers a platform that could\nscale well beyond its current footprint.\nClick here\n(https://www.globenewswire.com/Tracker?data=pO1RH26j4LvULz_5EtLAPA_sOlNMDTQyJx99cgc6wvC9NPjZIfCqmgdBWJQ8VvLlBK-M08ARDMtcC0fdWvWASA==)\nto view the custom infographic of the AZIO AI Holdings editorial.\n\nPower, Not Chips, Now Limits AI Growth\n\nThe rapid deployment of AI models, agents and GPU systems is straining more\nthan chip supply. It is increasing demand for electricity, energized land,\ninterconnection, cooling and purpose-built data-center capacity, often all at\nthe same site. NVIDIA and CoreWeave have described\n(https://www.globenewswire.com/Tracker?data=xscasx8DvQWvwa03Kb2nSuKfiMcoiMxsjZaB6OjcP3s9T8RWdOy-hBEFLsIF6SbrUOgRdKWil0Iy3wO_FT7AwA==) the\ncurrent moment as part of what NVIDIA founder and CEO Jensen Huang calls\n“the largest infrastructure buildout in human history.”\n\nThat framing captures just how physical this phase of AI has become. Building\nat this scale requires far more than writing software or training a model. The\nnumbers back up that framing. NVIDIA and IREN have announced\n(https://www.globenewswire.com/Tracker?data=Scrn5IrO_HziY0VyFBAcwFauw293nEwW4B1w6nwTr0OTLHphK64G65wRsEfKxT8r9Epnt_-_ryKARBE6YBTq-A==) a\nstrategic partnership to accelerate deployment of up to five gigawatts of AI\ninfrastructure. NVIDIA and OpenAI have separately announced\n(https://www.globenewswire.com/Tracker?data=Scrn5IrO_HziY0VyFBAcwFnq23YMZwhr4pycP2hHaMz84MZ_4m6qFjPghSamzFZnNSS7Y0fDHScjDi59JuKG9w==) plans\nto deploy at least 10 gigawatts of NVIDIA systems, representing millions of\nGPUs.\n\nCommitments of that size translate into enormous demand for substations,\ntransmission lines, cooling systems and land near reliable power. Huang has\nstated\n(https://www.globenewswire.com/Tracker?data=WZlKYQESErayvtg_ywZ4Jz3kb-TA350MM9blMlKZR2CeNstVck7Sd3eZ3SSufdeW02yKS5FCE35pPldnU_roIQ==) that\n“land, power and shell have become vital in the age of AI.” His comment\nunderscored that advanced processors alone cannot deliver AI capacity.\nFacilities and energy have to arrive right alongside the chips. In many\nregions, interconnection queues now stretch for years, leaving developers\nsearching for faster paths to power.\n\nThis is the environment in which AZIO AI is positioning itself. Rather than\ndepending solely on traditional grid interconnection, the company is\ndeveloping Atlas One. The South Texas campus is engineered\n(https://www.globenewswire.com/Tracker?data=2wUbCs5X3xH07QPQBrSzM9Ad-u2qu4UFK14zAGYW1uqQxGiu3R-HEhBPtA1_GPUprwJonHdEcTwgVXrHFC6VMQ==) for\nup to 500 megawatts of planned behind-the-meter power capacity, across more\nthan 548 acres.\n\nThat approach treats power access as a design requirement from day one, rather\nthan an afterthought layered on once a site already exists. It is a strategy\nbuilt directly around the bottleneck the broader industry is now confronting.\nAZIO AI argues the approach gives it an edge as competition for energized land\nintensifies nationwide. Sites that already have power secured, or a credible\npath to it, are becoming scarcer and more valuable at the same time.\n\nFrom Data Centers to Full AI Factories\n\nThe AI industry is shifting away from traditional data-center design and\ntoward what NVIDIA calls “AI factories.” Huang has described these\nfacilities as infrastructure that converts electricity and computing capacity\ndirectly into intelligence. That is a meaningfully different goal than simply\nhousing racks of servers behind four walls. An AI factory is judged by how\nefficiently it turns power into usable compute output rather than by square\nfootage alone. That shift changes what customers expect from an infrastructure\nprovider.\n\nNVIDIA's DSX platform reflects\n(https://www.globenewswire.com/Tracker?data=6tqegCIN9bN0n967LBNFS7BTCXsPhmzELDGhMtnc6YnAEhdPxoSzyIEpxbfeB3xi0cVnW82lVQPTpMWXx0JA0A==)\nthis shift in concrete terms. It combines chips, computing systems,\nnetworking, cooling, facilities and operating software into one integrated\noffering. Rather than treating each piece as a separate procurement decision,\nDSX bundles them together.\n\nBuilding a true AI factory means coordinating power generation,\ninterconnection, thermal management and compute hardware from the earliest\nplanning stages. Developers that can supply only one piece of that chain,\nwhether it is land, power or a building shell, are increasingly at a\ndisadvantage. Customers now want a single provider that can deliver the full\npackage in one coordinated project.\n\nAZIO AI is pursuing that kind of integrated model. The company operates at the\nintersection of AI computing and the power infrastructure required to support\nit. Its strategy combines behind-the-meter power, data-center hosting,\nconnectivity and access to advanced GPU systems under one roof.\n\nAtlas One is being developed with that full stack in mind. Generation\ncapacity, hosting space, fiber connectivity and interconnection infrastructure\nare all designed to work together, rather than being assembled piecemeal over\ntime. That positioning is designed so that AZIO AI can offer customers a\ncomplete AI-factory environment, instead of a single ingredient within it.\n\nBehind-the-Meter Power Offers a Faster Path\n\nTraditional utility interconnection queues and data-center construction\ntimelines were built for a slower era of demand growth. AI's expansion is\ntesting whether those timelines can keep pace, and in many cases, they simply\ncannot. NVIDIA and Emerald AI, working alongside leading energy\ncompanies, estimate\n(https://www.globenewswire.com/Tracker?data=rMABePp4mfJFbU8bMJrgBXrrFXIgiuOd1OrFiT_ppHJzrVEi6U3MZMmd7PgRzgVfgGBO6dLlg3zxg7V53zI7mg==) that\npower-flexible AI factories could help unlock up to 100 gigawatts of capacity\nacross the U.S. power system.\n\nReaching that scale of opportunity depends on new approaches to how power\nreaches compute facilities. Simply building more generation in isolation will\nnot be enough on its own. One such approach is co-located or behind-the-meter\ngeneration\n(https://www.globenewswire.com/Tracker?data=o8mahX0Qd-HR659IsugW2Sguq1kjmiCcHO0J0-uuW7aonPRA8IPDjNMBija--I0SRMcPebaKXHGfUmsbRTwy2WPsLGJBrPAcCP7bP9JwADQ=). Power\nis produced at, or near, the site that consumes it, rather than routed\nentirely through the public grid.\n\nCampuses that combine power generation, hosting, fiber and high-density\ncomputing infrastructure can potentially move faster. They are not left\nwaiting in conventional interconnection queues alongside everyone else. This\nmodel shifts some of the burden of energy delivery away from utilities and\nonto the developer. In exchange, developers gain greater speed, flexibility\nand control over their own buildout schedule. It also allows capacity to be\nadded in phases, as both generation and customer demand grow together over\ntime.\n\nAZIO AI's Atlas One campus is built around this same logic. The site is\ndesigned for phased, behind-the-meter capacity additions, rather than a single\nlarge-grid connection. That design allows power and hosting infrastructure to\nscale together as additional generation is secured.\n\nThe structure is intended to let AZIO AI bring new capacity online in stages.\nPower delivery can be matched to actual customer demand, rather than waiting\non one large interconnection milestone before any capacity can be used at all.\nIt is a model built for an industry that cannot afford to wait years for a\nconventional grid connection to materialize. As more compute customers\nprioritize speed to energization over any single technical specification, that\nphased approach becomes a selling point in its own right.\n\nAZIO Lands First Atlas One Customer\n\nAZIO AI has taken a concrete step toward turning that model into revenue. The\ncompany has signed its first hosting agreement at Atlas One, with Power\nChampion Investment Limited contracting for an initial 10 megawatts of\ncapacity. The agreement also grants Power Champion contractual expansion\nrights of up to a maximum of 50 megawatts. It is the first customer agreement\nAZIO AI has executed at the Atlas One campus.\n\nUnder the terms of the agreement, AZIO AI expects meaningful recurring\nrevenue once the initial capacity is delivered and made available. The company\nprojects approximately $1.5 million per month in capacity reservation charges.\nOver the agreement's 60-month initial term, that works out to approximately\n$90 million, before electricity sales and additional services. Those charges\napply only to capacity that is actually delivered and energized, not simply\ncapacity that is contracted on paper. That structure ties AZIO AI's revenue\ndirectly to infrastructure it has actually built and switched on, rather than\nto projections alone.\n\nThis agreement matters beyond its dollar figures. It is the first customer\ncommitment at Atlas One, converting a planned campus into a site with a\npaying, contracted tenant. While any expansion remains subject to additional\ninfrastructure, financing and regulatory approvals, landing an initial hosting\ncustomer is an important proof point for any company pursuing a power-first,\nbehind-the-meter model. It shows the broader strategy can translate into\nexecuted agreements, not just planned capacity on a map. It also establishes a\ncommercial template that AZIO AI can look to repeat as additional capacity\ncomes online at the site in future phases.\n\nAtlas One's Runway for Future Growth\n\nBeyond its first contracted customer, Atlas One offers a platform that could\nscale well beyond its current footprint. The campus spans more than 548\nacres in south Texas and is engineered for up to 500 megawatts of planned\nbehind-the-meter capacity. Against that backdrop, the initial 10-megawatt\nagreement with Power Champion represents an early, meaningful step. It is not\nthe ceiling of what the site is ultimately designed to support.\n\nPower Champion also holds the right to request expansion up to 50 megawatts of\ncontracted capacity. If that expansion were fully exercised, AZIO AI estimates\nit could represent approximately $450 million in capacity reservation charges.\nThat figure, which is calculated over a 60-month term before electricity sales\nand additional services, illustrates the scale of opportunity available at\nAtlas One. Even the initial 10-megawatt phase, once fully delivered, would\nrepresent a substantial revenue base on its own.\n\nReaching that larger outcome still depends on real work ahead. Only the\ninitial 10 megawatts is currently contracted. Delivering additional capacity\nwill require further generation, infrastructure, permitting, financing and\ncustomer commitments, none of which are guaranteed on any particular timeline.\n\nAZIO AI has been transparent about those remaining steps. The company's\napproach has been to report on capacity as it is actually secured and\nenergized, rather than overstate progress. Even with that work still ahead,\nAtlas One's combination of scale, location and an initial paying customer\ngives AZIO AI a credible foundation. For a sector where many projects remain\nlargely conceptual, having a signed, revenue-generating agreement already in\nplace at the campus is a meaningful point of distinction.\n\nAI Innovation Accelerates Across Global Industries\n\nArtificial intelligence continues to reshape the global technology landscape\nas companies expand investments in advanced computing, intelligent automation\nand next-generation AI applications. Recent developments highlight the growing\ninfluence of AI across scientific research, enterprise software, cloud\ninfrastructure and physical robotics, reflecting an industry increasingly\nfocused on translating technological breakthroughs into practical, scalable\nsolutions.\n\nNVIDIA Corporation\n(https://www.globenewswire.com/Tracker?data=RSk5kxnZBIdfIJXBDqZJSo0jrA0PEg0SylBNMmjo4nKiyeTdCTUHF6iGylWlOV1zzkjCbHuvSg5PMDLv6sYY78sBkN_plZiy43Y3VcZPc9Q=)\n(NASDAQ: NVDA) has announced\n(https://www.globenewswire.com/Tracker?data=Scrn5IrO_HziY0VyFBAcwHduUVonnO72FwCyHAcX7SSscS65VG2U2rY0cWLKyDiRaiplgpc-_rpNhjSHG8-P6Q==)\ncommitments valued at $1 billion to build out the United States’ capacity\nfor super intelligence research and development. According to the company, the\ncommitments are in fields critical for U.S. leadership, including quantum\ncomputing, healthcare and energy security. The announcement was made during\nthe “Science: A New Golden Age” event in Washington, D.C., where U.S.\nofficials, industry leaders and members of the science community convened on\nthe public-private collaborations needed to bolster scientific exploration.\n\nMicrosoft Corporation\n(https://www.globenewswire.com/Tracker?data=V5DSO3b2b8oYR_-xbjo4YQ9dKZZHCQOFzWkWPyZg57pxSOUNm0qLAGo3dfQqVfcX80Mm0Qdhqbm4ZeSCx1uDQfYDsVbSiM-pei80U1LAx4ASk3MNaKoywhNtg5gAta8yAX2ytr_pMskR6On0BEypQkugLucALbVDtLUSgZYZ0Ah1a7wqJsDTWdyJ1k6sUOLZ)\n(NASDAQ: MSFT) has introduced\n(https://www.globenewswire.com/Tracker?data=-OwcTA1yxAf36RtSfRJ_2AwbYd3Rb7HH02v6DT8zho9yNDJ5Uvy_en_P8su8CbH_QoYBXiDYdixK3Lpg3M0VaA==)\nthe AX Practitioner Playbook, the company’s method for evaluating what AI\ncoding agents do with technology. According to the company, the playbook\ndiagnoses why agents get things wrong and fixing those issues at the source.\n“It puts everything we’ve learned from hundreds of agent sessions in one\nplace,” the company stated.\n\nAmazon.com Inc.\n(https://www.globenewswire.com/Tracker?data=2kwdPOy35kAlFwmulFEyOHvozrtSZYkH0eUECD07Aas_qX_ctZ1poQpJKnAT7KlRxSCE5N-d4XicrPBVC9Oq_U-R6KCNA6trmxGM2pPO72_WrFLUXCR3ntz0fgspmLdsLTcZNW8f4q9yYlyGrv4VrsegY5xofigTvIRR3CDi97AeWC_hKU0wxpcZirq8iCj-)\n(NASDAQ: AMZN) has launched\n(https://www.globenewswire.com/Tracker?data=UtznigJsQ7zKJM5sxX580qBFrFBYc2DgddQVbbSvy4r8dOIKJIkfP3f5hiXRVve3ixMo3JPGcHrQNwn7J1RJIA==)\nthe Physical AI Toolchain on AWS, an open-source stack that helps\nmanufacturers build machines that perceive, reason and act in the real world.\nThe company noted that use cases for the platform range from machines that\nwork alongside people on production lines to humanoid robots and systems that\ninspect, move and manage materials on their own. Integrated with the NVIDIA\nPhysical AI stack, it covers the complete physical AI development lifecycle.\n\nAlphabet Inc.\n(https://www.globenewswire.com/Tracker?data=Eeb45b2o85TOfDojzqu32UWbLIun0H_T16UbDUu-j2VmrgfE5_lO3HtFIggXAKIiAYO5XFuA02CMYe_veMde3PA4LXmZgQycmNM1mhWOImQRgovKKLaFnLbzK7ix_0muRX9fKdOt988MiMH55djfuteHnptpokW4p-9puoxQyLA=)\n(NASDAQ: GOOG) reported\n(https://www.globenewswire.com/Tracker?data=cSOJm_cgmk9U3_HFesa9RN0HWWG7SjNRhh_Mjl0wlggc4k7Rm8nHCS6E_2BhRQ9V_ru8583jhh-1Nn8SiAX4qA==)\nthat Google Cloud revenues have increased 82%, led by an increase in Google\nCloud Platform (GCP) across enterprise AI Solutions and enterprise AI\nInfrastructure, as well as core GCP services. Management stated that the\ncompany’s AI investments are redefining what’s possible across every part\nof the business, noting that “it’s great to see wide adoption of Gemini\nEnterprise, with nearly 90% of the Fortune 100 using it.”\n\nTogether, these key milestones illustrate the breadth and momentum of the AI\necosystem as companies work to advance computing capabilities, improve the\nperformance and reliability of intelligent systems, and accelerate real-world\nadoption. As investments in AI infrastructure, research and development, and\nenterprise applications continue to grow, the convergence of advanced\ncomputing, intelligent software and physical automation is creating new\nopportunities for productivity, innovation and long-term transformation across\nindustries worldwide.\n\nFor more information, visit AZIO AI Holdings\n(https://www.globenewswire.com/Tracker?data=udjCqI4GKtQKDpZXN5uDByG32K6M0FOGkYfd1Fy6vVTDnksKkl5KvEmDYbIsjGY3fgxhpeI1ccw6msSI0kqY0RtghIObq4_Hc2Q64AsAYeXCcXStRXa4CZE9BfygfmGn).\n\nAbout AINewsWire\nAINewsWire\n(https://www.globenewswire.com/Tracker?data=Ek9JdDHUdoav5zTK0Y-qpzwibl9kFLIDtlBSTH2Kufb3p_HLMASkyJduSwglrpHpLN3JTYpDRbsS0qJ8F8ffIw==) (AINW)\nis a specialized communications platform with a focus on the latest\nadvancements in artificial intelligence (“AI”), including the\ntechnologies, trends and trailblazers driving innovation forward. 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The forward-looking\nstatements in this release are made as of the date hereof and AINW undertakes\nno obligation to update such statements.\n\nPlease see full terms of use and disclaimers on the AINewsWire website\napplicable to all content provided by AINW, wherever published or\nre-published: \n\nhttps://www.AINewsWire.com/Disclaimer\n\nAINewsWire\nAustin, Texas\nwww.AINewsWire.com\n512.354.7000 Office\nEditor@AINewsWire.com\n\nAINewsWire is powered by IBN\n(https://www.globenewswire.com/Tracker?data=Xs34x5AHz6eZWYl2BIJbmsGeBmrzLRg5zz3fEEDqQyFyVInDaRF4RwiZGj3un-c7ZDGZjoG5h6tkASiSuVkMZxgVYfGDuWtRuC_fHwernnU=)\n\n(https://www.globenewswire.com/NewsRoom/AttachmentNg/45ff7033-6ad2-41ba-bbd1-912eb2907b3e)\n\n\n\nGlobeNewswire, Inc. 2026","article_body_html":"","raw_payload":{"data":{"id":"nGNX6tXcd6-20261012","title":"Contracted Capacity Becomes Key Metric for AI Infrastructure Investors to Watch","author":"Globe Newswire","ticker":"AMZN","created":"2026-10-12T12:30:00.322Z","tickers":["AMZN","AZIO","GOOGL","MSFT","NVDA"],"exchange":"NASDAQ","article_body":"AUSTIN, Texas, Oct. 12, 2026 (GLOBE NEWSWIRE) -- AINewsWire Editorial Coverage\n(https://www.globenewswire.com/Tracker?data=Ek9JdDHUdoav5zTK0Y-qp1mv3kvNEbnf3x46PMBkG0hYrBTq3TBzkWqTCH3X_ke5TNixjhgQN5yrYB7v11XpKaNnj7-64czJGaaasT9ZzU7O0ajTZYwaR2srkLhqTnmv):\nThe artificial intelligence industry is racing to build computing capacity.\nBut a new constraint is emerging just as quickly: electricity. The\nInternational Energy Agency projects\n(https://www.globenewswire.com/Tracker?data=CKafVVKhDs1GyhpOgh-9zRlvlKD0lq5U2VzCM2PH3a7Iz2_BVBjW2Yk7mNrVVriDMCRHLW0TjsEQu5nYBQgzrKzLAoTKWdf7nQIM6YL7ITqN78DEkkuSKMUXRYyvgOjAcAXsBP5XJdPqm5idLgMa1CejFPXqBFgP_vh32vy3r6-JtqYoSNg0hIpzfd1J45ZFc7vdwfyYjtyXp1Jv1jXUsQ==)\nthat global data-center electricity demand will keep climbing sharply through\n2030. Goldman Sachs forecasts\n(https://www.globenewswire.com/Tracker?data=61U336rRBqfCkyRYWR6NRhfw2EeDj-PuUJSb2RaA2JhmcbYguISPbighHMNdCNRyqgW3_sID2aS5Vjp4q6hfmg==) roughly\n15% compound annual growth in U.S. data-center power demand from 2023 through\n2030, with data centers potentially accounting for approximately 8% of total\nU.S. electricity use by then. That widening gap between AI's appetite for\ncompute and the grid's ability to deliver power is reshaping how, and where,\nAI infrastructure gets built. It is precisely the opportunity AZIO AI Holdings\nInc. (NASDAQ: AZIO) (profile\n(https://www.globenewswire.com/Tracker?data=6Rdq2A3Ws4h4XKWM00MoAnRNgilNenfS1vuYvuIdUJ4MUSUolSW1tLQZV3JLGkx0KpZStbKHgYd1FVU_0M8K0I1QoBvttSArukqO7Y8QVh4=))\nis pursuing through its power-backed compute campuses, including its south\nTexas project, Atlas One. The company has now taken a concrete step in that\ndirection, signing\n(https://www.globenewswire.com/Tracker?data=3iYwh33NsnDCS6hZirDNxXp7lKTKVfQaUV2gKC7WzZ-v1fJNHPsStWIPI3_ncAf8HDMn_s9l39BcKeK8A-BViw==)\nits first hosting agreement at Atlas One with Power Champion Investment\nLimited, covering an initial 10 megawatts of capacity with expansion rights up\nto 50 megawatts. That agreement gives Atlas One its first contracted, paying\ncustomer and positions AZIO AI with other leading technology and\ninfrastructure providers whose products and services form the backbone of the\nglobal AI buildout, including NVIDIA Corporation\n(https://www.globenewswire.com/Tracker?data=RSk5kxnZBIdfIJXBDqZJSnETiukF4s2UJnhdN0bIlDRduZcvJGUpJJuuTtLWzfM-VfIv61ptN5uV36k9EmR8gAiSMVQ-Lczwg4kl7TyDNuE=)\n(NASDAQ: NVDA), Microsoft Corporation\n(https://www.globenewswire.com/Tracker?data=V5DSO3b2b8oYR_-xbjo4YQ9dKZZHCQOFzWkWPyZg57qhqhupmk8w0V2ZHacmW4BLCDa3jC_LnQAum6GMPWckmoyAQJHznzcEhhaDm7pHbZV3y2xlTlngnMIFDZQhQl4XlQxKRAc2D0rtfmYA9QSWcbPnmfXor9ZEhMlCH48Q-afdek1aG6RONmv2iAw-966Y)\n(NASDAQ: MSFT), Amazon.com Inc.\n(https://www.globenewswire.com/Tracker?data=2kwdPOy35kAlFwmulFEyOHoUvpuVqFpBDX4cFxagjvGc49ucBEtiXN1JZUExVCkacpaYCG1WYZmSAZ2k4NJ_HLFiEZqEC7MOJ8qw6586o6agJVdLPtHha5ltnCBcqlKVI13tUzJS1UAQTE_5eIDGa00Xsqf2coWLRL2MTrYjNaw=)\n(NASDAQ: AMZN) and Alphabet Inc.\n(https://www.globenewswire.com/Tracker?data=Eeb45b2o85TOfDojzqu32dbhAA_QY0-8P63ILkDilXsTXCIMZzs1BkJzgrk96TkDhqzM0Ten1YuLCeq1KoLAHFjnkdDeEXafdX9poiYLbdGpF-Rj6c_a6eh-pnFKgGNWn6pHf4lhlXVe16z0YrOpdIJ9EHL0QM2jC-cFL_jkC24=)\n(NASDAQ: GOOGL).\n* The rapid deployment of AI models, agents and GPU systems is demand for\nelectricity, energized land, interconnection, cooling and purpose-built\ndata-center capacity, often all at the same site. \n* The AI industry is shifting away from traditional data-center design and\ntoward what NVIDIA calls “AI factories.”\n* AZIO AI's Atlas One campus is built around this logic: designed for phased,\nbehind-the-meter capacity additions rather than a single large-grid\nconnection.\n* AZIO AI has taken a concrete step toward turning that model into revenue by\nsigning its first hosting agreement at Atlas One, with Power Champion\nInvestment Limited contracting for an initial 10 megawatts of capacity.\n* Beyond its first contracted customer, Atlas One offers a platform that could\nscale well beyond its current footprint.\nClick here\n(https://www.globenewswire.com/Tracker?data=pO1RH26j4LvULz_5EtLAPA_sOlNMDTQyJx99cgc6wvC9NPjZIfCqmgdBWJQ8VvLlBK-M08ARDMtcC0fdWvWASA==)\nto view the custom infographic of the AZIO AI Holdings editorial.\n\nPower, Not Chips, Now Limits AI Growth\n\nThe rapid deployment of AI models, agents and GPU systems is straining more\nthan chip supply. It is increasing demand for electricity, energized land,\ninterconnection, cooling and purpose-built data-center capacity, often all at\nthe same site. NVIDIA and CoreWeave have described\n(https://www.globenewswire.com/Tracker?data=xscasx8DvQWvwa03Kb2nSuKfiMcoiMxsjZaB6OjcP3s9T8RWdOy-hBEFLsIF6SbrUOgRdKWil0Iy3wO_FT7AwA==) the\ncurrent moment as part of what NVIDIA founder and CEO Jensen Huang calls\n“the largest infrastructure buildout in human history.”\n\nThat framing captures just how physical this phase of AI has become. Building\nat this scale requires far more than writing software or training a model. The\nnumbers back up that framing. NVIDIA and IREN have announced\n(https://www.globenewswire.com/Tracker?data=Scrn5IrO_HziY0VyFBAcwFauw293nEwW4B1w6nwTr0OTLHphK64G65wRsEfKxT8r9Epnt_-_ryKARBE6YBTq-A==) a\nstrategic partnership to accelerate deployment of up to five gigawatts of AI\ninfrastructure. NVIDIA and OpenAI have separately announced\n(https://www.globenewswire.com/Tracker?data=Scrn5IrO_HziY0VyFBAcwFnq23YMZwhr4pycP2hHaMz84MZ_4m6qFjPghSamzFZnNSS7Y0fDHScjDi59JuKG9w==) plans\nto deploy at least 10 gigawatts of NVIDIA systems, representing millions of\nGPUs.\n\nCommitments of that size translate into enormous demand for substations,\ntransmission lines, cooling systems and land near reliable power. Huang has\nstated\n(https://www.globenewswire.com/Tracker?data=WZlKYQESErayvtg_ywZ4Jz3kb-TA350MM9blMlKZR2CeNstVck7Sd3eZ3SSufdeW02yKS5FCE35pPldnU_roIQ==) that\n“land, power and shell have become vital in the age of AI.” His comment\nunderscored that advanced processors alone cannot deliver AI capacity.\nFacilities and energy have to arrive right alongside the chips. In many\nregions, interconnection queues now stretch for years, leaving developers\nsearching for faster paths to power.\n\nThis is the environment in which AZIO AI is positioning itself. Rather than\ndepending solely on traditional grid interconnection, the company is\ndeveloping Atlas One. The South Texas campus is engineered\n(https://www.globenewswire.com/Tracker?data=2wUbCs5X3xH07QPQBrSzM9Ad-u2qu4UFK14zAGYW1uqQxGiu3R-HEhBPtA1_GPUprwJonHdEcTwgVXrHFC6VMQ==) for\nup to 500 megawatts of planned behind-the-meter power capacity, across more\nthan 548 acres.\n\nThat approach treats power access as a design requirement from day one, rather\nthan an afterthought layered on once a site already exists. It is a strategy\nbuilt directly around the bottleneck the broader industry is now confronting.\nAZIO AI argues the approach gives it an edge as competition for energized land\nintensifies nationwide. Sites that already have power secured, or a credible\npath to it, are becoming scarcer and more valuable at the same time.\n\nFrom Data Centers to Full AI Factories\n\nThe AI industry is shifting away from traditional data-center design and\ntoward what NVIDIA calls “AI factories.” Huang has described these\nfacilities as infrastructure that converts electricity and computing capacity\ndirectly into intelligence. That is a meaningfully different goal than simply\nhousing racks of servers behind four walls. An AI factory is judged by how\nefficiently it turns power into usable compute output rather than by square\nfootage alone. That shift changes what customers expect from an infrastructure\nprovider.\n\nNVIDIA's DSX platform reflects\n(https://www.globenewswire.com/Tracker?data=6tqegCIN9bN0n967LBNFS7BTCXsPhmzELDGhMtnc6YnAEhdPxoSzyIEpxbfeB3xi0cVnW82lVQPTpMWXx0JA0A==)\nthis shift in concrete terms. It combines chips, computing systems,\nnetworking, cooling, facilities and operating software into one integrated\noffering. Rather than treating each piece as a separate procurement decision,\nDSX bundles them together.\n\nBuilding a true AI factory means coordinating power generation,\ninterconnection, thermal management and compute hardware from the earliest\nplanning stages. Developers that can supply only one piece of that chain,\nwhether it is land, power or a building shell, are increasingly at a\ndisadvantage. Customers now want a single provider that can deliver the full\npackage in one coordinated project.\n\nAZIO AI is pursuing that kind of integrated model. The company operates at the\nintersection of AI computing and the power infrastructure required to support\nit. Its strategy combines behind-the-meter power, data-center hosting,\nconnectivity and access to advanced GPU systems under one roof.\n\nAtlas One is being developed with that full stack in mind. Generation\ncapacity, hosting space, fiber connectivity and interconnection infrastructure\nare all designed to work together, rather than being assembled piecemeal over\ntime. That positioning is designed so that AZIO AI can offer customers a\ncomplete AI-factory environment, instead of a single ingredient within it.\n\nBehind-the-Meter Power Offers a Faster Path\n\nTraditional utility interconnection queues and data-center construction\ntimelines were built for a slower era of demand growth. AI's expansion is\ntesting whether those timelines can keep pace, and in many cases, they simply\ncannot. NVIDIA and Emerald AI, working alongside leading energy\ncompanies, estimate\n(https://www.globenewswire.com/Tracker?data=rMABePp4mfJFbU8bMJrgBXrrFXIgiuOd1OrFiT_ppHJzrVEi6U3MZMmd7PgRzgVfgGBO6dLlg3zxg7V53zI7mg==) that\npower-flexible AI factories could help unlock up to 100 gigawatts of capacity\nacross the U.S. power system.\n\nReaching that scale of opportunity depends on new approaches to how power\nreaches compute facilities. Simply building more generation in isolation will\nnot be enough on its own. One such approach is co-located or behind-the-meter\ngeneration\n(https://www.globenewswire.com/Tracker?data=o8mahX0Qd-HR659IsugW2Sguq1kjmiCcHO0J0-uuW7aonPRA8IPDjNMBija--I0SRMcPebaKXHGfUmsbRTwy2WPsLGJBrPAcCP7bP9JwADQ=). Power\nis produced at, or near, the site that consumes it, rather than routed\nentirely through the public grid.\n\nCampuses that combine power generation, hosting, fiber and high-density\ncomputing infrastructure can potentially move faster. They are not left\nwaiting in conventional interconnection queues alongside everyone else. This\nmodel shifts some of the burden of energy delivery away from utilities and\nonto the developer. In exchange, developers gain greater speed, flexibility\nand control over their own buildout schedule. It also allows capacity to be\nadded in phases, as both generation and customer demand grow together over\ntime.\n\nAZIO AI's Atlas One campus is built around this same logic. The site is\ndesigned for phased, behind-the-meter capacity additions, rather than a single\nlarge-grid connection. That design allows power and hosting infrastructure to\nscale together as additional generation is secured.\n\nThe structure is intended to let AZIO AI bring new capacity online in stages.\nPower delivery can be matched to actual customer demand, rather than waiting\non one large interconnection milestone before any capacity can be used at all.\nIt is a model built for an industry that cannot afford to wait years for a\nconventional grid connection to materialize. As more compute customers\nprioritize speed to energization over any single technical specification, that\nphased approach becomes a selling point in its own right.\n\nAZIO Lands First Atlas One Customer\n\nAZIO AI has taken a concrete step toward turning that model into revenue. The\ncompany has signed its first hosting agreement at Atlas One, with Power\nChampion Investment Limited contracting for an initial 10 megawatts of\ncapacity. The agreement also grants Power Champion contractual expansion\nrights of up to a maximum of 50 megawatts. It is the first customer agreement\nAZIO AI has executed at the Atlas One campus.\n\nUnder the terms of the agreement, AZIO AI expects meaningful recurring\nrevenue once the initial capacity is delivered and made available. The company\nprojects approximately $1.5 million per month in capacity reservation charges.\nOver the agreement's 60-month initial term, that works out to approximately\n$90 million, before electricity sales and additional services. Those charges\napply only to capacity that is actually delivered and energized, not simply\ncapacity that is contracted on paper. That structure ties AZIO AI's revenue\ndirectly to infrastructure it has actually built and switched on, rather than\nto projections alone.\n\nThis agreement matters beyond its dollar figures. It is the first customer\ncommitment at Atlas One, converting a planned campus into a site with a\npaying, contracted tenant. While any expansion remains subject to additional\ninfrastructure, financing and regulatory approvals, landing an initial hosting\ncustomer is an important proof point for any company pursuing a power-first,\nbehind-the-meter model. It shows the broader strategy can translate into\nexecuted agreements, not just planned capacity on a map. It also establishes a\ncommercial template that AZIO AI can look to repeat as additional capacity\ncomes online at the site in future phases.\n\nAtlas One's Runway for Future Growth\n\nBeyond its first contracted customer, Atlas One offers a platform that could\nscale well beyond its current footprint. The campus spans more than 548\nacres in south Texas and is engineered for up to 500 megawatts of planned\nbehind-the-meter capacity. Against that backdrop, the initial 10-megawatt\nagreement with Power Champion represents an early, meaningful step. It is not\nthe ceiling of what the site is ultimately designed to support.\n\nPower Champion also holds the right to request expansion up to 50 megawatts of\ncontracted capacity. If that expansion were fully exercised, AZIO AI estimates\nit could represent approximately $450 million in capacity reservation charges.\nThat figure, which is calculated over a 60-month term before electricity sales\nand additional services, illustrates the scale of opportunity available at\nAtlas One. Even the initial 10-megawatt phase, once fully delivered, would\nrepresent a substantial revenue base on its own.\n\nReaching that larger outcome still depends on real work ahead. Only the\ninitial 10 megawatts is currently contracted. Delivering additional capacity\nwill require further generation, infrastructure, permitting, financing and\ncustomer commitments, none of which are guaranteed on any particular timeline.\n\nAZIO AI has been transparent about those remaining steps. The company's\napproach has been to report on capacity as it is actually secured and\nenergized, rather than overstate progress. Even with that work still ahead,\nAtlas One's combination of scale, location and an initial paying customer\ngives AZIO AI a credible foundation. For a sector where many projects remain\nlargely conceptual, having a signed, revenue-generating agreement already in\nplace at the campus is a meaningful point of distinction.\n\nAI Innovation Accelerates Across Global Industries\n\nArtificial intelligence continues to reshape the global technology landscape\nas companies expand investments in advanced computing, intelligent automation\nand next-generation AI applications. Recent developments highlight the growing\ninfluence of AI across scientific research, enterprise software, cloud\ninfrastructure and physical robotics, reflecting an industry increasingly\nfocused on translating technological breakthroughs into practical, scalable\nsolutions.\n\nNVIDIA Corporation\n(https://www.globenewswire.com/Tracker?data=RSk5kxnZBIdfIJXBDqZJSo0jrA0PEg0SylBNMmjo4nKiyeTdCTUHF6iGylWlOV1zzkjCbHuvSg5PMDLv6sYY78sBkN_plZiy43Y3VcZPc9Q=)\n(NASDAQ: NVDA) has announced\n(https://www.globenewswire.com/Tracker?data=Scrn5IrO_HziY0VyFBAcwHduUVonnO72FwCyHAcX7SSscS65VG2U2rY0cWLKyDiRaiplgpc-_rpNhjSHG8-P6Q==)\ncommitments valued at $1 billion to build out the United States’ capacity\nfor super intelligence research and development. According to the company, the\ncommitments are in fields critical for U.S. leadership, including quantum\ncomputing, healthcare and energy security. The announcement was made during\nthe “Science: A New Golden Age” event in Washington, D.C., where U.S.\nofficials, industry leaders and members of the science community convened on\nthe public-private collaborations needed to bolster scientific exploration.\n\nMicrosoft Corporation\n(https://www.globenewswire.com/Tracker?data=V5DSO3b2b8oYR_-xbjo4YQ9dKZZHCQOFzWkWPyZg57pxSOUNm0qLAGo3dfQqVfcX80Mm0Qdhqbm4ZeSCx1uDQfYDsVbSiM-pei80U1LAx4ASk3MNaKoywhNtg5gAta8yAX2ytr_pMskR6On0BEypQkugLucALbVDtLUSgZYZ0Ah1a7wqJsDTWdyJ1k6sUOLZ)\n(NASDAQ: MSFT) has introduced\n(https://www.globenewswire.com/Tracker?data=-OwcTA1yxAf36RtSfRJ_2AwbYd3Rb7HH02v6DT8zho9yNDJ5Uvy_en_P8su8CbH_QoYBXiDYdixK3Lpg3M0VaA==)\nthe AX Practitioner Playbook, the company’s method for evaluating what AI\ncoding agents do with technology. According to the company, the playbook\ndiagnoses why agents get things wrong and fixing those issues at the source.\n“It puts everything we’ve learned from hundreds of agent sessions in one\nplace,” the company stated.\n\nAmazon.com Inc.\n(https://www.globenewswire.com/Tracker?data=2kwdPOy35kAlFwmulFEyOHvozrtSZYkH0eUECD07Aas_qX_ctZ1poQpJKnAT7KlRxSCE5N-d4XicrPBVC9Oq_U-R6KCNA6trmxGM2pPO72_WrFLUXCR3ntz0fgspmLdsLTcZNW8f4q9yYlyGrv4VrsegY5xofigTvIRR3CDi97AeWC_hKU0wxpcZirq8iCj-)\n(NASDAQ: AMZN) has launched\n(https://www.globenewswire.com/Tracker?data=UtznigJsQ7zKJM5sxX580qBFrFBYc2DgddQVbbSvy4r8dOIKJIkfP3f5hiXRVve3ixMo3JPGcHrQNwn7J1RJIA==)\nthe Physical AI Toolchain on AWS, an open-source stack that helps\nmanufacturers build machines that perceive, reason and act in the real world.\nThe company noted that use cases for the platform range from machines that\nwork alongside people on production lines to humanoid robots and systems that\ninspect, move and manage materials on their own. Integrated with the NVIDIA\nPhysical AI stack, it covers the complete physical AI development lifecycle.\n\nAlphabet Inc.\n(https://www.globenewswire.com/Tracker?data=Eeb45b2o85TOfDojzqu32UWbLIun0H_T16UbDUu-j2VmrgfE5_lO3HtFIggXAKIiAYO5XFuA02CMYe_veMde3PA4LXmZgQycmNM1mhWOImQRgovKKLaFnLbzK7ix_0muRX9fKdOt988MiMH55djfuteHnptpokW4p-9puoxQyLA=)\n(NASDAQ: GOOG) reported\n(https://www.globenewswire.com/Tracker?data=cSOJm_cgmk9U3_HFesa9RN0HWWG7SjNRhh_Mjl0wlggc4k7Rm8nHCS6E_2BhRQ9V_ru8583jhh-1Nn8SiAX4qA==)\nthat Google Cloud revenues have increased 82%, led by an increase in Google\nCloud Platform (GCP) across enterprise AI Solutions and enterprise AI\nInfrastructure, as well as core GCP services. Management stated that the\ncompany’s AI investments are redefining what’s possible across every part\nof the business, noting that “it’s great to see wide adoption of Gemini\nEnterprise, with nearly 90% of the Fortune 100 using it.”\n\nTogether, these key milestones illustrate the breadth and momentum of the AI\necosystem as companies work to advance computing capabilities, improve the\nperformance and reliability of intelligent systems, and accelerate real-world\nadoption. As investments in AI infrastructure, research and development, and\nenterprise applications continue to grow, the convergence of advanced\ncomputing, intelligent software and physical automation is creating new\nopportunities for productivity, innovation and long-term transformation across\nindustries worldwide.\n\nFor more information, visit AZIO AI Holdings\n(https://www.globenewswire.com/Tracker?data=udjCqI4GKtQKDpZXN5uDByG32K6M0FOGkYfd1Fy6vVTDnksKkl5KvEmDYbIsjGY3fgxhpeI1ccw6msSI0kqY0RtghIObq4_Hc2Q64AsAYeXCcXStRXa4CZE9BfygfmGn).\n\nAbout AINewsWire\nAINewsWire\n(https://www.globenewswire.com/Tracker?data=Ek9JdDHUdoav5zTK0Y-qpzwibl9kFLIDtlBSTH2Kufb3p_HLMASkyJduSwglrpHpLN3JTYpDRbsS0qJ8F8ffIw==) (AINW)\nis a specialized communications platform with a focus on the latest\nadvancements in artificial intelligence (“AI”), including the\ntechnologies, trends and trailblazers driving innovation forward. It is one of\n75+ brands within the Dynamic Brand Portfolio\n(https://www.globenewswire.com/Tracker?data=Pq-LkWp3DVUDCEC6mdzg3rpLyyBs2FKTix0Uac2pYxG6e46o-c_ND4DtL41__ad814pchh9kzmdjgTx7ZO-OV9LEMrHjF5lL20K7FEvtcb17AZI7Deb44jGqpOpSnIi6TbhikXKaxT0Y9xQU8WR6ETezmUHpSgC4jupuBufdO2M=) @ IBN\n(https://www.globenewswire.com/Tracker?data=74CTN_nuIYjieRVNxIZHk7sLAIX5IwBLzSJK4Ug4R9qC5w0mXTgi9GgPRg4G4X_KMg0LsrAIstOTzcF5WZ8I0iGrCd0B89mTsepPcr3fr4g=) that\ndelivers: (1) access to a vast network of wire solutions via InvestorWire\n(https://www.globenewswire.com/Tracker?data=SOvuE71GRh5qZLprPFMoMvsAVuFW50kfFhcm8XTUAD0JEq2vkzCKWJSq-U06pDVm96EmOrvzPUWJtso8aPaxSw7NpRrDq3-FPNZV-sppBuo=) to\nefficiently and effectively reach a myriad of target markets, demographics and\ndiverse industries; (2) article and editorial syndication to 5,000+ outlets\n(https://www.globenewswire.com/Tracker?data=Ma_oC6yJfsz1a67x0INtJOCffoDCyJWCZe7_AmmjvgcXXWNJpH3sMw2egqCgjfSPNdeKbCUWaA_DnmWMdH4HRa4W1ANUSjF5ObcAnhl307IvJElMGXiKVDyVUg2kaqxPB_4AuTUfC1Isb-0O5XE4OBWiXRkTLZr-YdE0hzrrzClLGcwkMIYfCRJBHHi1BwGzoJ5KDnhyEX8bLbnxVyZnOz-AgHvtF7_7-mnH9iz4G6U=); (3)\nenhanced press release enhancement\n(https://www.globenewswire.com/Tracker?data=HMplDmozNEcdK7Mt7TSkJIGPYXu5F55jmdbIHRBSseIWQg_9wyIyB3R8zX3OTQ3f-5_Gyp0od2IEsEVVCDG8zt75y_sJJBKnWcD6ocKdCXXB6ei6sVKAlvSUgEXBbG83fUKcj69twKdncJX5nLE-9S3TTvNnWU-2WPYOIqeWrr-twyq65CO7toHGuhJQWD3j) to\nensure maximum impact; (4) social media distribution\n(https://www.globenewswire.com/Tracker?data=-8lbDm0mrCVVDs-kXCGkXmxzXH76WpTBHypzNLaxPBHErOTn5tjNyyKeL6Twnbh-p4WcNZSNWgnwdzI1emZsDc7khIZolY_iYa32zltZlHgD943PrwoTFdkNmAd4HT5hF8UpjXHpdQ_UR2SGjaufeA==) via\nIBN to millions of social media followers; and (5) a full array of\ntailored corporate communications solutions\n(https://www.globenewswire.com/Tracker?data=g5pkihO84RimL_SXE9EmIolUJsLMIFAaqcUjLnaNazVAaWbIAsFF9K-9TraT949RiNxxxfCJZSJqY8WJYaUO4IE5apr1Oi3NmqO4uHnym5mMKXSzgfmBbQGsCtyEJplFShK-7_02MXM949ag80Dzig==).\nWith broad reach and a seasoned team of contributing journalists and writers,\nAINW is uniquely positioned to best serve private and public companies that\nwant to reach a wide audience of investors, influencers, consumers,\njournalists, and the general public. By cutting through the overload of\ninformation in today’s market, AINW brings its clients unparalleled\nrecognition and brand awareness.\n\nAINW is where breaking news, insightful content and actionable information\nconverge.\n\nTo receive SMS alerts from AINewsWire, text “AI” to 888-902-4192 (U.S.\nMobile Phones Only)\n\nFor more information, please visit www.AINewsWire.com\n\nDISCLAIMER: AINewsWire\n(https://www.globenewswire.com/Tracker?data=Ek9JdDHUdoav5zTK0Y-qpwLXZsn0kILq3funh1Hm5jV7VDqExKdvkIhImZlFIbxbQjcF9ifN7Aw5FJR-pcyfuw==) (AINW)\nis the source of the Article and content set forth above. References to any\nissuer other than the profiled issuer are intended solely to identify industry\nparticipants and do not constitute an endorsement of any issuer and do not\nconstitute a comparison to the profiled issuer. The commentary, views and\nopinions expressed in this release by AINW are solely those of AINW. Readers\nof this Article and content agree that they cannot and will not seek to hold\nliable AINW for any investment decisions by their readers or subscribers. AINW\nis a news dissemination and financial marketing solutions provider and are NOT\nregistered broker-dealers/analysts/investment advisers, hold no investment\nlicenses and may NOT sell, offer to sell or offer to buy any security.\n\nThe Article and content related to the profiled company represent the personal\nand subjective views of the Author and are subject to change at any time\nwithout notice. The information provided in the Article and the content has\nbeen obtained from sources which the Author believes to be reliable. However,\nthe Author has not independently verified or otherwise investigated all such\ninformation. None of the Author, AINW, or any of their respective affiliates,\nguarantee the accuracy or completeness of any such information. This Article\nand content are not, and should not be regarded as investment advice or as a\nrecommendation regarding any particular security or course of action; readers\nare strongly urged to speak with their own investment advisor and review all\nof the profiled issuer’s filings made with the Securities and Exchange\nCommission before making any investment decisions and should understand the\nrisks associated with an investment in the profiled issuer’s securities,\nincluding, but not limited to, the complete loss of your investment.\n\nAINW HOLDS NO SHARES OF ANY COMPANY NAMED IN THIS RELEASE.\n\nThis release contains “forward-looking statements” within the meaning of\nSection 27A of the Securities Act of 1933, as amended, and Section 21E the\nSecurities Exchange Act of 1934, as amended and such forward-looking\nstatements are made pursuant to the safe harbor provisions of the Private\nSecurities Litigation Reform Act of 1995. “Forward-looking statements”\ndescribe future expectations, plans, results, or strategies and are generally\npreceded by words such as “may”, “future”, “plan” or\n“planned”, “will” or “should”, “expected,” “anticipates”,\n“draft”, “eventually” or “projected”. You are cautioned that such\nstatements are subject to a multitude of risks and uncertainties that could\ncause future circumstances, events, or results to differ materially from those\nprojected in the forward-looking statements, including the risks that actual\nresults may differ materially from those projected in the forward-looking\nstatements as a result of various factors, and other risks identified in a\ncompany’s annual report on Form 10-K or 10-KSB and other filings made by\nsuch company with the Securities and Exchange Commission. You should consider\nthese factors in evaluating the forward-looking statements included herein,\nand not place undue reliance on such statements. The forward-looking\nstatements in this release are made as of the date hereof and AINW undertakes\nno obligation to update such statements.\n\nPlease see full terms of use and disclaimers on the AINewsWire website\napplicable to all content provided by AINW, wherever published or\nre-published: \n\nhttps://www.AINewsWire.com/Disclaimer\n\nAINewsWire\nAustin, Texas\nwww.AINewsWire.com\n512.354.7000 Office\nEditor@AINewsWire.com\n\nAINewsWire is powered by IBN\n(https://www.globenewswire.com/Tracker?data=Xs34x5AHz6eZWYl2BIJbmsGeBmrzLRg5zz3fEEDqQyFyVInDaRF4RwiZGj3un-c7ZDGZjoG5h6tkASiSuVkMZxgVYfGDuWtRuC_fHwernnU=)\n\n(https://www.globenewswire.com/NewsRoom/AttachmentNg/45ff7033-6ad2-41ba-bbd1-912eb2907b3e)\n\n\n\nGlobeNewswire, Inc. 2026"},"type":"article","timestamp":"2026-10-12T12:30:00.385715318Z","server_sent_at_ms":1791808200385},"received_at":"2026-10-12T12:30:00.475Z","source_url":null},"analysis":{"id":"154736","press_release_id":"166373","analysis_json":{"industry":{"label":"Broadline Retail","sector":"Consumer Discretionary"},"redFlags":["third-party promotional editorial (AINewsWire/IBN marketing platform) rather than issuer disclosure","revenue figures cited are projections tied to future energized capacity, not booked results"],"eventType":"other","narrative":"This is an AINewsWire editorial/promotional piece centered on micro-cap AZIO AI Holdings' Atlas One campus in south Texas and its first hosting agreement with Power Champion Investment Limited for 10 MW of capacity, expandable to 50 MW.\n\nAmazon is mentioned only as one of several large-cap AI infrastructure leaders, with a brief note that AWS launched the open-source Physical AI Toolchain for building machines that perceive, reason and act.\n\nThe release carries no new disclosure material to AMZN; treat it as low-signal promotional content for AZIO.","sentiment":"neutral","agentHooks":{"shouldPost":false,"suggestedAngle":"Suppress for AMZN feed; promotional coverage of AZIO with only passing Amazon mentions."},"keyFigures":{"customDimensions":{"azio_initial_hosting_mw":10,"azio_expansion_rights_mw":50,"azio_initial_term_revenue":"$90 million over 60 months","googl_cloud_revenue_growth":"82%","azio_monthly_capacity_charges":"$1.5 million per month","azio_expansion_potential_revenue":"$450 million","azio_atlas_one_planned_capacity_mw":500}},"namedEntities":{"people":[{"name":"Jensen Huang","role":"NVIDIA founder and CEO"}],"products":["Physical AI Toolchain (AWS)","DSX platform","Gemini Enterprise","AX Practitioner Playbook","Atlas One"],"companies":[{"name":"AZIO AI Holdings Inc.","ticker":"AZIO","relationship":"profiled issuer"},{"name":"Amazon.com Inc.","ticker":"AMZN","relationship":"mentioned as industry participant"},{"name":"NVIDIA Corporation","ticker":"NVDA","relationship":"mentioned"},{"name":"Microsoft Corporation","ticker":"MSFT","relationship":"mentioned"},{"name":"Alphabet Inc.","ticker":"GOOG","relationship":"mentioned"},{"name":"Power Champion Investment Limited","relationship":"customer of AZIO AI"},{"name":"AINewsWire (IBN)","relationship":"publisher/marketing platform"}],"dollarAmounts":[{"amount":"$1 billion","context":"NVIDIA commitments to U.S. super intelligence R&D"},{"amount":"$1.5 million per month","context":"AZIO AI capacity reservation charges under initial hosting agreement"},{"amount":"$90 million","context":"approximate 60-month term value of initial 10 MW agreement"},{"amount":"$450 million","context":"estimated capacity reservation charges if 50 MW expansion fully exercised"}]},"materialImpact":{"score":1,"reasoning":"This is a paid-style editorial coverage piece about micro-cap AZIO AI Holdings; AMZN is only mentioned as an industry participant with a brief note on the Physical AI Toolchain launch. No direct material development for Amazon."},"tickerRelevance":{"others":[{"ticker":"AZIO","relevance":"profiled subject of the release"},{"ticker":"NVDA","relevance":"mentioned"},{"ticker":"MSFT","relevance":"mentioned"},{"ticker":"GOOG","relevance":"mentioned"}],"primary":"AMZN"},"globalImportance":10,"audienceRelevance":15,"eventTypeSecondary":[],"importanceComponents":{"tickerTier":"mega-cap","eventGravity":"third-party promotional editorial, no AMZN-specific news","issuerAuthored":false,"profiledIssuer":"AZIO (micro-cap)"}},"event_type":"other","event_type_secondary":null,"sentiment":"neutral","material_impact_score":1,"narrative":"This is an AINewsWire editorial/promotional piece centered on micro-cap AZIO AI Holdings' Atlas One campus in south Texas and its first hosting agreement with Power Champion Investment Limited for 10 MW of capacity, expandable to 50 MW.\n\nAmazon is mentioned only as one of several large-cap AI infrastructure leaders, with a brief note that AWS launched the open-source Physical AI Toolchain for building machines that perceive, reason and act.\n\nThe release carries no new disclosure material to AMZN; treat it as low-signal promotional content for AZIO.","key_figures":{"customDimensions":{"azio_initial_hosting_mw":10,"azio_expansion_rights_mw":50,"azio_initial_term_revenue":"$90 million over 60 months","googl_cloud_revenue_growth":"82%","azio_monthly_capacity_charges":"$1.5 million per month","azio_expansion_potential_revenue":"$450 million","azio_atlas_one_planned_capacity_mw":500}},"named_entities":{"people":[{"name":"Jensen Huang","role":"NVIDIA founder and CEO"}],"products":["Physical AI Toolchain (AWS)","DSX platform","Gemini Enterprise","AX Practitioner Playbook","Atlas One"],"companies":[{"name":"AZIO AI Holdings Inc.","ticker":"AZIO","relationship":"profiled issuer"},{"name":"Amazon.com Inc.","ticker":"AMZN","relationship":"mentioned as industry participant"},{"name":"NVIDIA Corporation","ticker":"NVDA","relationship":"mentioned"},{"name":"Microsoft Corporation","ticker":"MSFT","relationship":"mentioned"},{"name":"Alphabet Inc.","ticker":"GOOG","relationship":"mentioned"},{"name":"Power Champion Investment Limited","relationship":"customer of AZIO AI"},{"name":"AINewsWire (IBN)","relationship":"publisher/marketing platform"}],"dollarAmounts":[{"amount":"$1 billion","context":"NVIDIA commitments to U.S. super intelligence R&D"},{"amount":"$1.5 million per month","context":"AZIO AI capacity reservation charges under initial hosting agreement"},{"amount":"$90 million","context":"approximate 60-month term value of initial 10 MW agreement"},{"amount":"$450 million","context":"estimated capacity reservation charges if 50 MW expansion fully exercised"}]},"model_name":"glm-5.3-flashx","prompt_hash":"sha256:5c812bd9e28b810d","schema_hash":"sha256:05005c02d9cffac9","created_at":"2026-10-12T12:30:10.136Z","global_importance":10,"audience_relevance":15,"importance_components":{"tickerTier":"mega-cap","eventGravity":"third-party promotional editorial, no AMZN-specific news","issuerAuthored":false,"profiledIssuer":"AZIO (micro-cap)"}},"durationMs":9629,"modelName":"glm-5.3-flashx"}}