Nscale: AI Hyperscaler Company Raises $155 Million (Series A)

By Amit Chowdhry • Dec 16, 2024

Nscale, a hyperscaler engineered for AI, announced that it had raised $155 million in Series A funding to accelerate expansion across Europe and North America. Advised by Barkers Point Capital Partners and led by Sandton Capital Partners, with participation from Kestrel 0x1, Blue Sky Capital Managers, and Florence Capital, this funding round signals confidence in Nscale’s path to building the hyperscaler, purposely engineered for AI.

Nscale creates sustainable AI-ready data centers, deploys large-scale GPU infrastructure, and delivers sophisticated AI cloud services. And this unique full-stack approach enables Nscale to co-design the data center and GPU supercluster infrastructure to deliver unrivaled speed, performance, and efficiency on AI workloads.

Nscale’s AI private cloud platform was built to support the entire generative AI lifecycle, enabling developers to run and train AI models. Nscale’s platform provides bare metal and virtualized GPU nodes, Kubernetes-native services (NKS), AI workload scheduling powered by SLURM, and advanced serverless and dedicated inferencing options. Plus, Nscale is launching a public cloud service in Q1 2025 that will provide developers access to purpose-built inference and training solutions in a flexible development environment.

Since launching from stealth in May 2024, Nscale has seen substantial demand for AI infrastructure, quickly growing its pipeline of greenfield data centers across Europe and North America from 300MW to 1.3GW, with 120MW planned for 2025 development. And these sites will be designed from the ground up to support large supercluster deployments for global hyperscalers and LLM platforms, leveraging the latest advancements in closed-loop direct liquid cooling to deliver maximum performance and efficiency while minimizing environmental impact. The hyperscaler is now uniquely positioned to capitalize on the market for large-scale AI infrastructure and can deliver bespoke GPU clusters at any scale for governments, AI scale-ups, and global enterprises.

This funding is the latest in a series of significant milestones. It reflects Nscale’s continued commitment to driving innovation and delivering exceptional customer value since it raised $30 million in seed funding in December 2023. And Nscale recently announced a partnership with Open Innovation AI, a leading GPU orchestration platform in MENA, targeting the deployment of 30,000 GPUs over the next three years. The company has also achieved industry recognition for advancing AI high-performance computing infrastructure: Nscale’s Svartisen Cluster was included in the 2024 Top500 list of the most potent super-computing systems worldwide.

KEY QUOTES:

“The AI market is scaling rapidly, and so are we. Nscale manages every layer of infrastructure in the value chain to meet the intensive needs of large-scale AI customers. In particular, the largest risk to the market’s ability to scale is the large contiguous tranches of electricity required to power these large GPU superclusters. Nscale has a 1.3GW pipeline of sites in our portfolio, which allows us to design from the ground up, the data centre, the supercluster and the cloud environment end-to-end for our customers. This means we can deploy bespoke GPU clusters tailored to customers’ requirements, do this faster than competitors and at any scale, all while delivering superior unit economics. With the support of our investors, we can now reach more customers globally with bespoke designed, sustainable and cost-effective AI infrastructure that unlocks new AI capabilities, products, and services.”

– Joshua Payne, CEO of Nscale

“We are excited to double down on our investment in Nscale with our lead investment in the Series A round. With a notable founder track record, established industry partnerships, and a unique vertically integrated approach, Nscale is building the hyperscale AI platform to power enterprise AI at scale.”

– Rael Nurick, Co-Founder at Sandton Capital Partners