NexGen Cloud, a London-based cloud infrastructure startup, just closed a major Series A funding round. The company raised $45 million with support from Moore & Moore Investments. This funding aims to supercharge its AI computing capabilities across Europe. With artificial intelligence moving from the research phase to enterprise deployment, NexGen Cloud steps up at the right moment to meet the region’s growing demand for high-performance AI infrastructure.

A Timely Infusion of Capital

Moore & Moore Investment Group led this Series A round, recognizing the urgent need for powerful, energy-efficient infrastructure in the AI space. Other strategic investors joined in, bringing not just capital but also experience in scaling AI systems and data centers.

NexGen Cloud’s CEO, Chris Starkey, emphasized their mission to democratize access to GPU cloud services across Europe. “We want to level the playing field. European enterprises, startups, and researchers need more than just access—they need affordable, high-performance AI compute. That’s where we come in,” he said.

Filling the European AI Gap

Europe has struggled to keep pace with the AI infrastructure expansion seen in the U.S. and Asia. While tech giants like Google, Amazon, and Microsoft dominate the global cloud market, Europe lacks homegrown infrastructure players operating at hyperscale. NexGen Cloud identified this gap early. Since its founding, the company has focused on building a decentralized, high-performance GPU cloud using NVIDIA hardware.

Unlike traditional cloud providers, NexGen Cloud does not rely on centralized server farms. Instead, the company connects underutilized GPU resources across the continent into one powerful, distributed AI cloud. This setup reduces latency, lowers energy costs, and creates a greener footprint.

The new funding will allow NexGen Cloud to expand its NVIDIA H100 GPU fleet, the gold standard for generative AI tasks like large language model training, video generation, and image synthesis.

Partnerships with NVIDIA and Graphcore

NexGen Cloud has already built strong partnerships with NVIDIA and UK-based chipmaker Graphcore. By integrating NVIDIA H100 and A100 GPUs into its distributed cloud, NexGen can offer the same performance that powers services like ChatGPT and Midjourney. Meanwhile, its work with Graphcore allows clients to explore alternative chips specifically designed for AI inference workloads.

Rather than depend solely on one provider, NexGen builds a diverse hardware stack. This strategy lets them optimize for both performance and cost, especially when energy prices spike.

Starkey mentioned, “We don’t just want to offer raw computing power. We want to optimize every part of the AI stack—from storage to bandwidth to inference speeds.”

Focus on Enterprise and Startups

With the AI boom well underway, demand for GPU compute has skyrocketed. Enterprises building their own AI models, especially in healthtech, fintech, and autonomous systems, now require sustained access to GPUs. NexGen Cloud’s service provides that without locking clients into rigid contracts or long-term cloud subscriptions.

Startups, often priced out of traditional cloud providers, find NexGen’s pay-as-you-go model more accessible. Early-stage companies working on generative AI, edge computing, and computer vision now have a scalable platform to grow without burning their capital on infrastructure.

NexGen also announced a new startup accelerator program alongside its funding. The program will provide $5 million in cloud credits and technical support to 25 AI startups across Europe over the next 12 months.

Scaling Data Centers and Edge Nodes

The company plans to expand its physical presence as well. It will open three new data centers in Berlin, Milan, and Stockholm by Q4 2025. These facilities will use renewable energy and state-of-the-art liquid cooling technology to reduce environmental impact.

In addition to traditional data centers, NexGen will deploy “micro-nodes”—smaller, edge-based GPU units—across university campuses and tech parks. These nodes will allow researchers and small teams to access low-latency AI compute locally while syncing with the broader NexGen network.

The company also invested in software orchestration tools to manage these nodes in real time. Their proprietary system automatically balances workloads, reroutes traffic during downtimes, and ensures performance SLAs across all user tiers.

Tackling the AI Energy Problem

Running AI models consumes enormous energy. A single model training run can use as much electricity as 100 homes in a week. NexGen Cloud takes a proactive approach to mitigate this impact. It sources its energy from wind, solar, and hydroelectric grids. It also installs on-site batteries to store excess energy and improve uptime.

The company recently signed a long-term renewable energy deal in Norway and partnered with a Dutch firm specializing in heat recycling. They now use waste heat from their GPU clusters to warm public buildings and greenhouses—an innovative way to repurpose energy that would otherwise go unused.

This green-first approach doesn’t just cut costs. It aligns NexGen Cloud with new EU sustainability mandates that will soon require cloud providers to disclose and limit their carbon footprints.

Investing in AI Talent and Research

Besides infrastructure, NexGen Cloud wants to support the people building the future of AI. The company committed $2 million toward AI research fellowships and GPU grants for European universities.

Their new initiative, “AI for Europe,” will sponsor doctoral students working on large-scale model training, reinforcement learning, and AI alignment. Universities in the UK, Germany, and France have already signed up to join the program.

Starkey added, “We don’t just build cloud tools. We build ecosystems. Europe can’t afford to outsource its AI future.”

The Road Ahead

With this fresh funding, NexGen Cloud now sits at a critical intersection of cloud computing, energy sustainability, and AI innovation. While competitors scale horizontally, NexGen aims to scale vertically—optimizing not just infrastructure but also ecosystem building, startup support, and climate-conscious design.

In the next 18 months, the company targets a 5x increase in compute capacity. It also plans to launch a GPU marketplace that lets organizations rent out unused compute power to other verified users. This move could make GPU access as fluid and dynamic as bandwidth or storage.

As AI reshapes industries from banking to medicine, Europe needs infrastructure providers that can match the scale and ambition of Silicon Valley. NexGen Cloud, with its fresh capital, bold roadmap, and green-first philosophy, seems ready to lead that charge.

By Admin

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