{"id":21902,"date":"2025-07-25T04:12:07","date_gmt":"2025-07-25T04:12:07","guid":{"rendered":"https:\/\/www.newsbeep.com\/uk\/21902\/"},"modified":"2025-07-25T04:12:07","modified_gmt":"2025-07-25T04:12:07","slug":"131-million-raised-to-advance-hyperscaler-for-the-edge","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/uk\/21902\/","title":{"rendered":"$131 Million Raised To Advance Hyperscaler For The Edge"},"content":{"rendered":"<p>Armada, a leader in edge computing, has raised $131 million in a funding round featuring new investors Pinegrove, Veriten, and Glade Brook, alongside existing backers like Founders Fund and Microsoft\u2019s M12.<\/p>\n<p>This funding coincides with the launch of Leviathan, a rugged modular data center designed for rapid deployment in challenging environments. Leviathan delivers megawatt-scale computing and supports distributed AI training and inference, offering ten times the computing power of Armada\u2019s next-largest model and advancing American leadership in energy and AI.<\/p>\n<p>Leviathan is the larger version of Armada\u2019s Triton data center, offering ten times the compute capacity. Powered by the Armada Edge Platform (AEP), it delivers autonomous computing and real-world AI with speed and reliability. Designed for scalability, Leviathan can adapt to customer needs and be relocated as requirements change.<\/p>\n<p>Deployable in remote, mission-critical environments, it can utilize stranded natural gas, solar, nuclear, or other alternative energy sources, becoming operational within weeks.<\/p>\n<p>As China seeks to control the future of AI and energy supply chains, the U.S. must act quickly. Leviathan provides the U.S. with a modular, sovereign infrastructure advantage, enabling leadership in both AI development and the physical systems that support it, all while requiring less infrastructure than traditional data centers.<\/p>\n<p>KEY QUOTES:<\/p>\n<p>\u201cAmerican energy and AI dominance hinges on one thing: moving massive compute to the edge\u2014fast\u2014where data and low-cost power live. Leviathan, the newest member of our Galleon product line, does exactly that. Each unit delivers megawatt-scale performance in a fraction of the time and much more flexibly than traditional data centers, due to their ability to rapidly adapt to changes in AI chips and cooling, and co-locate with all available land and energy, regardless of its form or location. This latest product launch and funding further accelerate our mission to bridge the digital divide and ensure that the world runs on the American AI stack.\u201d<\/p>\n<p>Dan Wright, Co-Founder and CEO of Armada<\/p>\n<p>\u201cFrom day one, we backed Armada because they saw what others missed: America\u2019s AI leadership hinges on owning the entire stack\u2014from power and silicon to software\u2014and being able to deploy it anywhere. Leviathan drives that vision forward, expanding the Galleon lineup from suitcase-sized edge nodes for lightweight analytics and inference to megawatt-scale modules that can train and serve frontier models in the harshest environments. With a Galleon for every workload, Armada keeps U.S. and allied AI efforts a step ahead.\u201d<\/p>\n<p>Trae\u2019 Stephens, Partner at Founders Fund and early Armada backer<\/p>\n<p>\u201cLeviathan embodies our belief that hardware should behave like software: deployable, upgradeable, and governed entirely by code. Paired with the turnkey Armada Edge Platform and its growing Marketplace of AI models and applications, Leviathan\u2019s liquid-cooled, energy-agnostic modules deliver megawatt-scale training and inference in weeks\u2014bridging the digital divide by bringing AI straight to the edge, where data and power already live.\u201d<\/p>\n<p>Pradeep Nair, Founding CTO of Armada<\/p>\n<p>\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"Armada, a leader in edge computing, has raised $131 million in a funding round featuring new investors Pinegrove,&hellip;\n","protected":false},"author":2,"featured_media":21903,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[13993,4323,86,56,54,55],"class_list":{"0":"post-21902","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-computing","8":"tag-armada","9":"tag-computing","10":"tag-technology","11":"tag-uk","12":"tag-united-kingdom","13":"tag-unitedkingdom"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/21902","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=21902"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/21902\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/21903"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=21902"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=21902"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=21902"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}