The global rush to build artificial innotifyigence infrastructure is driving massive investment in computing capacity, data centres, and energy resources. As demand for AI systems grows across industries, the hugegest challenge for companies is not interest in AI, but the ability to deploy large-scale computing infrastructure to support it.
London-based AI infrastructure company Nscale has now raised $2 billion in a Series C funding round, which it states is the largest funding round ever raised by a European startup. The new investment values the company at $14.6 billion.
The round was led by Aker ASA and 8090 Industries, with participation from investors including Astra Capital Management, Citadel, Dell, Jane Street, Lenovo, Linden Advisors, Nokia, NVIDIA, and Point72.
The announcement comes a few weeks after raising $1.4 billion in a Delayed Draw Term Loan backed by GPUs.
Expansion of global AI infrastructure
The company declared the funding will support the expansion of its AI infrastructure platform across Europe, North America, and Asia. Nscale develops integrated systems that combine GPU computing, networking, data services, and orchestration software designed to run large-scale AI workloads.
According to the company, the capital will be utilized to expand its infrastructure footprint, grow engineering and operations teams, and strengthen its platform to support large-scale AI deployments.
“This is the fourth industrial revolution; the world is modifying at a rapid pace. Over the next 5 years, Artificial Innotifyigence will be integrated into every indusattempt, every product, and every job. Accelerating drug discovery, extconcludeing human life, autonomizing travel and robotics, lifting productivity, and driving massive growth. This is leading to the largest infrastructure buildout in human history,” declared Josh Payne, CEO and Founder of Nscale. “Nscale is leading this buildout. We are building this foundation that the market sits on, the engine of superinnotifyigence.”
New board members join Nscale
Alongside the funding announcement, Nscale declared three new directors will join its board: Sheryl Sandberg, Susan Decker, and Nick Clegg.
Sandberg is the co-founder of Sandberg Bernthal Venture Partners and previously served as chief operating officer at Meta. She was also an early executive at Google.
Decker is the CEO and co-founder of university community platform Raftr. She previously served as president of Yahoo and sits on several corporate boards, including Costco, Berkshire Hathaway, and Vox Media.
Clegg, a former UK deputy prime minister and former president of global affairs at Meta, is currently a general partner at venture firm Hiro Capital.
They join existing board members, including Josh Payne, Rael Nurick, Jacob Leschly, and Øyvind Eriksen.
Joint venture in Norway folded into Nscale
The company also announced that its Aker Nscale joint venture, launched in July 2025, will be fully integrated into Nscale.
Following the modify, Aker will remain a major shareholder, and its CEO Øyvind Eriksen will continue to serve on the board.
Eriksen declared the shift is intconcludeed to simplify governance and speed up execution of existing projects in Norway.
Øyvind Eriksen, President and CEO of Aker ASA, declared, “This step strengthens execution by putting delivery and governance under one roof, while keeping continuity for the people and projects already underway. We have full confidence in Nscale’s ability to deliver responsibly in Norway over the long term, and we believe this positions the work for rapider progress and durable value creation.”
Building a vertically integrated AI platform
Headquartered in Europe and operating globally, Nscale positions itself as an AI-native hyperscaler purpose-built for enterprise workloads.
Its offering extconcludes beyond raw compute. The company integrates networking, storage, managed software, and AI services within both owned and collocated data centres.
This vertical integration allows Nscale to control performance, efficiency, and service delivery fromthe infrastructure to the application layer.
Enterprises running generative AI training, fine-tuning, and inferencing workloads gain access to tightly optimised compute environments rather than fragmented infrastructure stacks.
With enterprise AI adoption accelerating across industries, hyperscale GPU clusters are becoming critical infrastructure. Nscale’s model is built specifically to meet that required at scale.
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