The rising demand for AI infrastructure continues to expose gaps in affordability, scalability, and regulatory compliance—especially across Europe. NexGen Cloud, a London-based startup, is stepping up to solve those problems with an innovative platform that delivers GPU-as-a-Service powered entirely by renewable energy. By focusing on security, cost-efficiency, and data privacy, the company is making high-performance AI computing far more accessible for enterprises and developers alike.
This week, NexGen Cloud announced it has raised $45 million in a Series A funding round led by Moore & Moore Investment Group. The round also included contributions from several high-net-worth individuals and family investment trusts. The capital will be used to scale the company’s infrastructure, expand engineering talent, and accelerate strategic partnerships across sectors like healthcare, finance, and media.
With this latest investment, NexGen Cloud has now raised a total of $59 million, following a $14 million early-stage round back in March 2022. The startup’s valuation now sits at $354 million, a strong indicator of growing confidence in its approach to cloud-based AI solutions.
Founded in 2020 by Christopher Starkey and Youlian Tzanev, NexGen Cloud was created to solve the rising cost and limited availability of scalable GPU computing, especially for businesses trying to adopt AI at scale. The team recognised that many organisations were being held back by a lack of reliable, compliant, and affordable computing power. Their goal was to build infrastructure that could support even the most intensive AI workloads while staying fully compliant with European data privacy regulations.
One of NexGen’s major breakthroughs has been Hyperstack, its on-demand cloud platform designed for AI developers and enterprise teams. Since launching in 2023, Hyperstack has recorded explosive growth—achieving €83.9 million in revenue across 2023 and 2024, a 380% increase in operational activity, and a 2,272% rise in transactions year over year. The platform serves over 10,000 users, from startups to major enterprise clients, including Red Hat, Ingenix.AI, Tyne, and ArchiLabs.
Hyperstack provides immediate access to thousands of GPUs, maintaining a 90% utilization rate while offering powerful performance and scalability on demand. By designing its own API for the platform, NexGen Cloud has also enabled channel partners to deliver custom enterprise-grade computing services with ease. This infrastructure is particularly valuable for companies needing fast, secure inference or fine-tuning of large AI models, all while remaining compliant with strict data governance policies.
In addition to scaling its GPU infrastructure, the company is preparing to launch a Fine-Tuning-as-a-Service product. This new service will allow customers to adapt pre-trained AI models for domain-specific tasks while optimising compute usage across clusters. It’s part of NexGen’s broader strategy to deliver tailored AI products that align with the entire lifecycle of AI development—from training to deployment to real-time inference.
Beyond its technical strengths, NexGen Cloud is also positioning itself as a sustainability leader in the AI cloud space. All of the company’s services run on 100% renewable energy, giving customers a carbon-conscious alternative to traditional GPU hosting. As demand grows and environmental scrutiny increases, this commitment could prove to be a critical differentiator in the market.
NexGen Cloud’s growth is also being powered by a strong support network. One of its early enterprise partners, Shadeform, credits the company with delivering rock-solid performance during a crucial scaling period. CEO Ed Goode praised the consistency and reliability of NexGen’s servers, calling the team’s support “first class” and noting the company’s role in helping Shadeform grow its own cloud marketplace.
As AI adoption accelerates across industries, NexGen Cloud is moving fast to meet the infrastructure needs that traditional providers have struggled to serve. With fresh funding, a surging user base, and a clear focus on performance and sustainability, the company is well-positioned to play a major role in shaping Europe’s AI computing future.
