Nscale купила Anyscale за $1,65 млрд и получила контроль над фреймворком Ray

London-based AI cloud company Nscale announced on July 24, 2026, the acquisition of Anyscale — the startup behind the widely used Ray framework for distributed ML computing. According to Bloomberg, the deal is valued at approximately $1.65 billion; Nscale has not officially disclosed the price, confirming only that the acquisition took place.

What Are Anyscale and Ray

Ray is one of the most widely adopted open-source frameworks for distributed ML computing. It enables scaling of model training, inference, and data processing across clusters of any size — from a single server to hundreds of nodes. Ray was built as a vendor-neutral tool: it is used across AWS, Google Cloud, Azure, and on-premise environments. This technological independence turned the framework into a de facto standard among AI teams that need flexible orchestration without lock-in to a specific provider.

Anyscale is the commercial company built around Ray, founded by the project's creators. It monetizes the open source through the managed Anyscale Platform and enterprise subscriptions: support, security patches, and extended functionality. Before the deal, Ray existed as a fully independent tool; now its commercial layer moves under the wing of an AI provider with its own infrastructure.

Why Nscale Paid $1.65 Billion for Anyscale

Nscale is an atypical AI cloud provider: the company owns its own data centers and energy infrastructure rather than renting capacity from hyperscalers. In an era when GPU clusters consume hundreds of megawatts, control over power supply reduces operational risk and the cost of compute. Before the deal, Nscale covered the lower level of the stack — physical servers and power. Clients assembled the software layer themselves.

Key facts about the deal:

• Announced July 24, 2026
• Valued at approximately $1.65 billion according to Bloomberg; Nscale has not officially confirmed
• Buyer — Nscale (London), an AI cloud with its own data centers and energy capacity
• Target — Anyscale, creators of the Ray framework
• Ray — one of the leading open-source tools for distributed ML workloads

The acquisition of Anyscale closes the gap: Nscale now offers a single vertically integrated product — from physical servers and power to ML pipeline orchestration.

Nscale is "buying up the stack" — complementing physical

infrastructure and energy capacity with a software layer for ML workloads, writes TNW.

For enterprise clients, this means a single SLA and fewer integration points; for Nscale, it means improved retention and margins through a high-margin software layer.

What Will Change for Ray Developers

Before the deal, Ray was infrastructure-neutral: it was used regardless of cloud provider. After the commercial layer transitions to Nscale, the key question for the ecosystem will be the project's openness. If the company maintains a vendor-neutral course, the deal will only accelerate Ray's development. If it begins creating lock-in to its own infrastructure, developers and competitors will step up support for alternatives. Historically, such acquisitions are often accompanied by open-source project forks: the community hedges proactively.

The $1.65 billion deal reflects a broader trend: the AI infrastructure market is consolidating faster than expected. Providers unable to compete with AWS, Google Cloud, and Azure at scale are choosing vertical integration — full stack control as a way to differentiate and retain enterprise AI clients.

What This Means

The acquisition of Anyscale transforms Nscale from a GPU rental provider into a full-stack AI operator. The company gains not only software but also access to the Ray developer community — one of the most valuable long-term assets in the AI infrastructure segment. Future success will largely be determined by whether Nscale keeps Ray an open standard for the entire market — or turns it into an exclusive competitive advantage.