ZStack Selected as a Representative Providers in Gartner® Innovation Insight: AI Infrastructure In China

Recently, Gartner released the report “Innovation Insight: AI Infrastructure In China.” This report delves into the definition, advantages and uses, risks, and recommendations of AI infrastructure in China, and lists Representative Providers. ZStack was selected as a Representative Provider for its AI Infra platform, ZStack AIOS.

According to the research: “Gartner defines AI infrastructure as the complete technology stack and foundational systems essential for supporting the development, deployment and management of AI and machine learning workloads. This infrastructure includes a diverse array of components that collaborate to deliver the computational power, networking, storage, AI engineering tools, middleware and libraries needed to execute AI tasks effectively. AI infrastructure offerings enable AI workload deployment in the most strategic locations based on needs, regardless of whether it is on-premises, in public cloud or edge computing.”

ZStack, as a cloud infrastructure software provider in the era of intelligent computing, is dedicated to offering users a digital and intelligent computing power platform. Its product matrix includes cloud platforms, virtualization, distributed storage, hyper-convergence, container cloud platforms, service middle platforms, cloud management platforms, database cloud platforms, and the AIOS platform. Among these, ZStack AIOS is a self-developed, productized, and standardized new-generation private AI Infra platform. With the advantage of its all-in-one platform, ZStack AIOS comprehensively supports enterprises in AI innovation across three major areas: computing power scheduling, AI large model training and inference, and AI application service development. Following the initial release of ZStack AIOS on February 2nd, which supported the DeepSeek V3/R1/Janus Pro models, ZStack released the DeepSeek version of the AI appliance based on ZStack AIOS on March 3rd and launched the “Enterprise-Level Local Private DeepSeek Practical Manual.” This manual addresses enterprise pain points, covering everything from lightweight 7B models to ultra-large-scale 671B deployments, and includes core techniques such as model distillation, quantization compression, and multi-card inference, thereby assisting enterprises in implementing private AI with the AI Infra platform.

Currently, the AI Infra platform ZStack AIOS, as an important platform for private deployment of large models in enterprises, has been implemented in various industries such as government, finance, transportation, science and education, and media, effectively helping numerous enterprises achieve private deployment of large models. In the field of scientific research, ZStack has collaborated with provincial laboratories to jointly launch a multimodal ubiquitous intelligent basic platform, providing cloud-edge-end integration and supporting intelligent Q&A, precise intent understanding, and situational awareness. In the education industry, ZStack has assisted Shanghai universities in building an Agent intelligent platform, enabling teachers and students to quickly create campus assistants and various Agent applications through low-code methods. In the financial industry, ZStack has served Shenzhen insurance companies for scenarios such as claims review, intelligent customer service, and risk prediction. In the transportation industry, ZStack has served Southwest Expressway, using a multi-machine multi-card approach to support the DeepSeek 671B quantized version model for video image collection and data analysis decision-making. In the media industry, ZStack has helped large new media establish a generative AI media integration innovation platform for scenarios such as video generation, text-to-image, intelligent customer service, multimodal search, and ticket purchasing.

Additionally, ZStack has supported the release of China’s first “Enterprise-Level Large Model Private Deployment and Intelligent Computing Cloud Application Survey Results.” This report was initiated by the Key Laboratory of Cloud Computing Standards and Applications of the Ministry of Industry and Information Technology, and organized by the Cloud Construction and Application Standards Working Group of the National Standardization Technical Committee for Cloud Computing and Distributed Platforms, targeting enterprise users across all industries to conduct a special survey on the current status of enterprise-level private large model applications and private deployment needs, with over 400 valid questionnaires collected from industry users, identifying AI Infra as one of the key points for breakthrough.

Gartner, Innovation Insight: AI Infrastructure In China, 26 June 2025

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