Anyscale releases native sandboxing in Ray 2.58
Built with Google using gVisor, this experimental feature enables secure, scalable isolated execution for agentic workloads directly within the cluster.
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Cloud platform for scaling distributed AI workloads
anyscale.comLast updated
In short: Anyscale agreed to be acquired by Nscale for $1.65 billion and launched Azure, Ray, and observability initiatives.
Built with Google using gVisor, this experimental feature enables secure, scalable isolated execution for agentic workloads directly within the cluster.
The merger combines AI software and physical infrastructure to optimize Ray for advanced hardware while expanding GPU capacity and maintaining open-source commitments.
Stano aims to help enterprises transition from AI pilots to production-scale systems using the Ray platform. He will advise on architecture and scalability.
The private preview starts Nov 4, 2025, leveraging Ray for scalable enterprise AI workloads within Azure Kubernetes Service. General availability is expected in 2026.
Nscale, a full-stack AI cloud platform, announced it has entered into a definitive agreement to acquire Anyscale, the platform for scaling any AI workload ...
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Cloud provider Nscale agreed to acquire software startup Anyscale to help customers use AI computing power more efficiently.
Nscale plans to integrate Anyscale’s AI software to broaden its platform offering and expand interna...
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