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SiliconANGLE AI · 2026/7/31 01:30:54
Nscale buys AI infrastructure optimization startup Anyscale for reported $1.65B

Nscale buys AI infrastructure optimization startup Anyscale for reported $1.65B

AI 中文解读
Nscale宣布以约16.5亿美元收购AI基础设施优化公司Anyscale。这家数据中心巨头看中的,正是Anyscale旗下的开源软件Ray——一套能让大型AI集群运行更稳定、成本更低的"调度神器"。简单说,训练一个AI大模型需要数千台服务器协同工作,就像万人合唱团要精准同步,稍有差错就得从头再来。Ray的作用就是自动协调这些服务器:哪台出了问题就自动替补,数据存储位置不合理就自动调整,开发者不用再为这些琐事操心,省时又省钱。收购完成后,Nscale计划将Anyscale的软件和自己的基础设施工具打包,提供给自家AI数据中心的客户。对于普通人来说,这意味着AI训练成本有望降低,未来你用到的AI服务可能会更便宜、功能上线更快。毕竟,基础设施更高效,最终受益的还是每个用户。
UPDATED 21:30 EDT / JULY 30 2026 AI Nscale buys AI infrastructure optimization startup Anyscale for reported $1.65B by Maria Deutscher Data center builder Nscale Global Holdings Ltd. today announced plans to acquire Anyscale Inc., a venture-backed provider of artificial intelligence software. The terms of the deal were not disclosed. Bloomberg cited a source as saying that Nscale is paying $1.65 billion. In March, the company raised $2 billion from a consortium that included Nvidia Corp. and other major tech firms. London-based Nscale is building a network of AI data centers that will span a half-dozen countries. Its flagship development is a 2,250-acre campus in Mason County, West Virginia that features its own miniature power grid. The company estimates that the site can theoretically host more than eight gigawatts worth of computing capacity. Anyscale, the startup that Nscale has agreed to buy, was launched in 2019 by a group of computer scientists. It commercializes an open-source project called Ray that was created by its founding team. The software is used to optimize large-scale AI clusters. Distributing an AI workload across multiple servers is not as simple as splitting it into smaller tasks and running each one on a separate machine. Developers must make numerous optimizations to ensure that the cluster will run reliably. Additionally, they must fine-tune its performance to avoid cost overruns and underutilized hardware. Ray eases the task. One of the chores that the software streamlines is mitigating hardware errors. If one of the servers in a cluster fails during an AI training run, Ray can automatically replace it with a new machine. That removes the need to write custom fault tolerance workflows.  The software also helps developers reduce bandwidth costs. If an AI model and the dataset that it uses are stored on two separate servers, the machines must regularly exchange information over the network. Ray installs AI models and their datasets on the same machine to avoid unnecessary traffic. Anyscale commercializes the project with a paid cloud-based version. The service provides access to managed Ray clusters that developers can launch in under a minute. Additionally, it features monitoring dashboards that ease the task of troubleshooting technical issues. Nscale expects to close the acquisition by year’s end. The company plans to offer Anyscale’s software to its customers alongside its internally developed infrastructure optimization tools. Nscale provides managed versions of Kubernetes and Slurm, two open-source tools likewise designed to automate server cluster management.  “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 Nscale founder and Chief Executive Officer Josh Payne. “Anyscale extends that offering with managed services that AI teams use to scale any workload, completing a truly vertically integrated AI cloud platform.” Photo: Nscale A message from John Furrier, co-founder of SiliconANGLE: Support our mission to keep content open and free by engaging with theCUBE community. Join theCUBE’s Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more 11.4k+ theCUBE alumni — Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. Are you AWS customer?  Support SiliconANGLE Financially by buying your AWS services from our Marketplace portal page and links.   https://siliconangle.com/aws-marketplace/ About SiliconANGLE
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