Nscale raises the largest Series B in European history, at $1.1 billion, to accelerate its global AI infrastructure and GPU deployment rollout

Core Insights - Nscale has raised USD $1.1 billion in Series B funding, marking the largest such round in UK and European history, led by Aker ASA with participation from notable investors including NVIDIA and Dell [2][9][12] Company Overview - Nscale is an AI-native infrastructure platform headquartered in the UK, providing integrated computing, networking, storage, and AI services through its own data centers [3][13] - The company addresses the increasing enterprise demand for GPUs, essential for AI, and operates data centers that utilize low-cost renewable energy [4][12] Funding Utilization - The new funding will facilitate the deployment of large-scale AI infrastructure across Europe, North America, and the Middle East, including the development of "AI factory" data centers for projects like Stargate UK and Stargate Norway [5][9] - The capital will also support the expansion of Nscale's engineering and operations teams to enhance service delivery for enterprise and government clients [5][12] Strategic Partnerships and Projects - Nscale has announced a partnership with Microsoft to develop the UK's largest AI supercomputer and is collaborating with OpenAI and NVIDIA on the Stargate UK project [9][11] - The company is also working on Stargate Norway, aiming to deliver 100,000 NVIDIA GPUs by the end of 2026, supported by a multi-billion-dollar agreement with Microsoft [11][12] Product Innovation - Nscale is accelerating product innovation across the AI stack, launching services such as fine-tuning, advanced inference APIs, and orchestration tools [8][12] Leadership and Vision - Nscale's leadership team has extensive experience in building data centers and scaling infrastructure businesses, positioning the company to meet the surging demand for AI infrastructure [7][12] - The company aims to create a globally significant platform to provide high-demand compute capacity and energy-efficient AI infrastructure [6][7]