Intelligence Cloud

Background

Under the wave of deep integration of AI and digital transformation, the business focus is accelerating the transformation from traditional informatization to intelligent decision-making, and intelligent computing has become the core driving force for new productivity. Under this development trend, the basic resource architecture needs to achieve a leap-forward evolution from "general-purpose computing" to "high-performance, heterogeneous, and full-stack intelligence". More users hope to build a digital intelligence base that integrates cloud, intelligence and security by deeply integrating AI large model capabilities, multiple office scenarios and active defense security systems.

相关政策

2025

In 2025, the State Council issued the "Opinions of the State Council on In-depth Implementation of the" Artificial Intelligence + "Action", aiming to promote the deep integration of artificial intelligence technology with various economic and social fields.

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2025

In 2025, the Ministry of Industry and Information Technology and the National Standards Committee jointly issued the "Guidelines for the Construction of Cloud Computing Comprehensive Standardization System (2025 Edition)" aiming to support and lead the high-quality development of the cloud computing industry through the standard system.

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2025

In 2025, the State Council issued the "Opinions of the State Council on In-depth Implementation of the" Artificial Intelligence + "Action", aiming to promote the deep integration of artificial intelligence technology with various economic and social fields.

View Details

2025

In 2025, the Ministry of Industry and Information Technology and the National Standards Committee jointly issued the "Guidelines for the Construction of Cloud Computing Comprehensive Standardization System (2025 Edition)" aiming to support and lead the high-quality development of the cloud computing industry through the standard system.

View Details

Development Trend

AI large model empowers business evolution

With the explosive growth of generative AI, infrastructure is undergoing a comprehensive transformation from "general computing power" to "intelligent computing power". The rapid iteration of large models requires that the underlying platform not only has the ability to schedule massive heterogeneous computing power, but also needs to integrate an integrated tool chain for model training and promotion. The future intelligent computing cloud will deeply integrate knowledge base and agent construction capabilities, and help users quickly transform basic models into business assistants with industry logic through low-code workflow orchestration. This shift from "providing resources" to "providing capabilities" will significantly lower the threshold for AI applications, making large models truly the core engine driving the productivity transition.

Distributed technology supports elastic base

Against the background of exponential growth in data volume, traditional centralized architectures have been unable to cope with the high scalability requirements of computing power. Distributed technology realizes linear expansion and on-demand allocation of infrastructure by deeply pooling computing and storage resources. Intelligent computing cloud products are accelerating their evolution to cloud-native architecture, using distributed scheduling algorithms to ensure business continuity and minimalist operation and maintenance in multi-tenant and high-concurrency scenarios. This architectural integration not only eliminates the risk of a single point of failure, but also provides flexible underlying support for the intelligent computing cloud platform, ensuring smoother and more efficient application of large models and data flow.

Build defense genes for computing power platforms

Network security is no longer an "plug-in accessory" of infrastructure, but an "endogenous gene" deeply embedded in the architecture. In the intelligent computing environment, data compliance, model security and application attack prevention have become top priorities. The future product system will build a full-stack protective barrier in the operating system, virtualization layer and AI framework through endogenous security technology. By integrating zero-trust architecture, container security and active defense system into the bottom layer of products such as intelligent computing cloud and hyper-convergence, self-perception and self-healing of threats can be realized, ensuring that users have a robust, transparent and satisfying environment while enjoying the dividends of AI technology. A digital and intelligent environment with equal protection requirements.

Xinchuang ecosystem leads independent control

Facing the complex and ever-changing international environment, the localization of critical infrastructure has become an irreversible and inevitable trend. The intelligent computing cloud series products are fully compatible with domestic CPUs, GPUs and operating systems, building a closed-loop information innovation ecosystem from chips, firmware to upper-layer applications. Through in-depth adaptation and performance optimization of domestic heterogeneous computing power, it is ensured that model training and user experience are not degraded. Localization is not only the replacement of hardware, but also the independent control of technological sovereignty. In the future, Zhicomputing Cloud will take the Xinchuang base as the core, continue to deepen collaborative innovation with domestic software and hardware manufacturers, and provide safer, controllable, and high-performance alternatives for government and enterprise users.

Users' Pain Points

Business intelligence and implementation of large models

Users urgently need a unified platform that integrates training and push, knowledge base and agent construction to solve pain points such as high threshold for AI applications, long model development cycle, and difficulty in building business assistants, and accelerate the realization of the leap from bottom-level computing power to top-level business intelligence.

Infrastructure architecture resilience and scaling

Faced with the surge in data volume and rapid business evolution, users need to achieve smooth horizontal expansion of computing power and storage through hyper-converged technology, which can significantly reduce system operation and maintenance complexity and total cost of ownership while ensuring high concurrency and low latency performance.

Full-stack endogenous security under Xinchuang base

Under the background that localization substitution is deepening and becoming more practical, users urgently need a cloud base with endogenous security features to ensure that core businesses, AI models and sensitive data can achieve independent controllability and stable operation throughout the life cycle in the Xinchuang software and hardware environment.

Technical System

Topsec Intelligent Computing Cloud has built a vertical full-stack architecture from the underlying infrastructure to the upper AI application development, in which the infrastructure (base layer) provides computing power support, and through heterogeneous computing power (domestic, non-domestic), distributed storage, high-speed network and endogenous security provide multiple capabilities of cloud servers, cloud desktops, cloud containers, cloud storage and cloud security; The core of AI platform support (capability layer) is divided into computing power platform, data platform and model platform, which respectively support resource scheduling and management, data cleaning, annotation and generation, and full life cycle management capabilities of large models, making full use of computing power resources and supporting DeepSeek Efficient operation of other large models; AI application development (application layer) provides application platform and cloud space, supports Agent construction, knowledge base management and prompt word optimization, and combines cloud platform capabilities such as multi-tenancy, billing and service monitoring to achieve application template deployment and online experience.

Comprehensive Strength

Topsec Intelligent Computing Cloud has built a vertical full-stack architecture from the underlying infrastructure to the upper AI application development, in which the infrastructure (base layer) provides computing power support, and through heterogeneous computing power (domestic, non-domestic), distributed storage, high-speed network and endogenous security provide multiple capabilities of cloud servers, cloud desktops, cloud containers, cloud storage and cloud security; The core of AI platform support (capability layer) is divided into computing power platform, data platform and model platform, which respectively support resource scheduling and management, data cleaning, annotation and generation, and full life cycle management capabilities of large models, making full use of computing power resources and supporting DeepSeek Efficient operation of other large models; AI application development (application layer) provides application platform and cloud space, supports Agent construction, knowledge base management and prompt word optimization, and combines cloud platform capabilities such as multi-tenancy, billing and service monitoring to achieve application template deployment and online experience.

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