Nscale Buys Anyscale, Forging a Vertically Integrated AI Hyperscaler

LONDON and SAN FRANCISCO – July 30, 2026 – In a move set to reshape the competitive landscape for artificial intelligence infrastructure, full-stack AI cloud platform Nscale today announced a definitive agreement to acquire Anyscale, the company behind the popular open-source Ray framework. While financial terms were not officially disclosed, sources familiar with the matter report the deal is valued at approximately $1.65 billion.

The acquisition marks a bold step in Nscale's strategy to build what its CEO calls the industry's first "full-stack AI hyperscaler." By combining its vertically integrated infrastructure—spanning from power generation and data centers to GPU compute—with Anyscale's sophisticated software layer for scaling AI workloads, Nscale is positioning itself as a formidable, one-stop shop for enterprises looking to build and deploy their own AI solutions.

The Rise of the Full-Stack Model

Since its founding, Nscale has pursued a strategy that starkly contrasts with most of the market. Instead of leasing data center space and renting GPUs, the London-based company has focused on owning every layer of the AI stack. This includes significant investments in its own data centers, such as its renewable-powered facilities in Norway, and even energy generation through its acquisition of American Intelligence & Power Corporation (AIPCorp) earlier this year. With a reported valuation of over $11 billion and backed by industry giants like Nvidia, Nscale has been aggressively building out its physical footprint.

Until now, the missing piece was a powerful software orchestration layer. The acquisition of Anyscale fills that gap. Anyscale, founded by the creators of the Ray framework at UC Berkeley's RISELab, provides the critical software that allows developers to manage and scale complex AI tasks—from data processing to model training and inference—across thousands of GPUs.

"Most infrastructure providers just buy GPUs and rent them. Nscale is doing something unique. We build and own every layer ourselves: the power, the data centers, the compute, and the software that turns them into an AI cloud," said Josh Payne, CEO and Founder of Nscale, in the official announcement. "Anyscale extends that offering with managed services that AI teams use to scale any workload, completing a truly vertically integrated AI cloud platform."

This vertical integration promises significant advantages in efficiency and cost. By controlling the entire stack, Nscale can optimize performance in ways that are difficult for competitors who simply assemble components from various vendors. For institutional clients, this could translate into faster model training times, lower inference costs, and a more streamlined path from development to production.

Open Source at the Core of a Commercial Giant

A crucial aspect of this deal is its deep connection to the open-source community. Anyscale's platform is built on Ray, a framework that has become an open standard for distributed AI. In a strategic move to ensure its neutrality and foster wider adoption, Ray was donated to the PyTorch Foundation in 2025, placing it under the governance of the Linux Foundation alongside other foundational AI projects.

Recognizing the importance of this ecosystem, Nscale has committed to joining the PyTorch Foundation, reinforcing its support for Ray's long-term success. This move is critical for maintaining the trust of the tens of thousands of developers who rely on Ray. It signals that while Nscale is building a powerful commercial platform, it intends to remain a good steward of the open-source technology at its core.

Anyscale will continue to operate under its own brand, and its customers—which include prominent names like Coinbase and Runway—will remain free to run their workloads on any infrastructure. However, they will now have the additional option of deploying on Nscale’s highly optimized, full-stack platform. This hybrid approach allows Nscale to capture a new software-focused customer base while offering a powerful incentive for them to migrate to its own infrastructure over time.

Reshaping the AI Infrastructure Arms Race

This acquisition escalates the intense competition in the AI infrastructure market. Nscale is now more directly challenging not only established cloud giants like Amazon Web Services and Google Cloud but also other specialized GPU cloud providers like CoreWeave and Lambda Labs. By moving beyond raw compute to offer a comprehensive software platform, Nscale is aiming to capture a larger share of enterprise AI budgets.

Keerti Melkote, CEO of Anyscale, framed the merger as a natural evolution for the industry. "Companies are moving beyond simply using AI to actually building their own. Doing that well requires the software and the infrastructure it runs on to be designed together," he stated. "By combining Anyscale's platform...with Nscale's data centres, compute and AI cloud services – we're creating the first full-stack AI hyperscaler."

The timing of the acquisition is also significant. Nscale is reportedly preparing for a potential Initial Public Offering (IPO) later this year. Acquiring Anyscale, which was last valued at $1 billion in its 2021 Series C funding round, significantly strengthens Nscale’s growth story for public market investors. It transforms the company from a capital-intensive infrastructure provider into a more diversified AI platform with a significant software and services component.

A New Era for AI Development

The combined Nscale and Anyscale offering aims to provide a unified platform for the entire AI lifecycle. For institutional clients in sectors like finance, healthcare, and robotics, this means a single environment to process vast datasets, fine-tune large language models on proprietary data, and deploy complex AI agents at scale. The promise is to lower the barrier for more companies to build and own their AI capabilities, rather than relying solely on pre-built models from a handful of large providers.

The entire Anyscale team of approximately 200 employees will join Nscale, bringing a wealth of specialized talent in distributed systems and AI platforms. This human capital is as valuable as the technology itself and will be critical for a successful integration.

The transaction is subject to regulatory approvals and is expected to close in the second half of 2026. As regulators worldwide pay closer attention to consolidation in the technology sector, the deal will likely undergo careful review. However, Nscale will argue that by combining infrastructure and software, it is fostering innovation and providing a more powerful and cost-effective alternative in the hyper-competitive AI market.