Paradigm and Ruisizhilian launch ModelSphere, an open-source AI deployment platform

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Paradigm and Beijing Ruisizhilian launched ModelSphere, an AI deployment platform for enterprises, with its code available free on GitHub under the Apache 2.0 license. The platform combines compute management, model deployment, and runtime optimization. According to the companies’ announcement, ModelSphere supports scheduling across heterogeneous chips and cluster operations, and works with inference engines including vLLM and SGLang. Its features include cache-aware routing, autoscaling, and automated performance tuning.

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Latest development10/16 15:16 (UTC+8)

Paradigm and Ruisizhilian Launch ModelSphere, an Open-Source AI Deployment Platform 量子位

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10/16

15:16
量子位
Paradigm and Ruisizhilian Launch ModelSphere, an Open-Source AI Deployment Platform
Paradigm and Beijing Ruisizhilian announced ModelSphere, a free, open-source platform combining enterprise compute management, model deployment, and runtime optimization. Released under Apache 2.0, it supports heterogeneous chip scheduling and cluster operations alongside inference engines such as vLLM and SGLang, including cache-aware routing, autoscaling, and automated performance tuning. The company-provided announcement links to the repository at https://github.com/modelsphere/modelsphere.

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