How AI+ Is Shaping the Next Wave of Industry Digital Infrastructure
The article analyzes the AI+ era’s impact on industry digital infrastructure, outlines three major challenges of digital‑to‑intelligent transformation, reviews the evolution of the "Yuanqi" platform from 2022 to 2024, and explains how its four‑platform architecture and AI‑Infra upgrades aim to accelerate sustainable, AI‑driven productivity across sectors.
Artificial intelligence has entered a rapid commercial phase, with generative AI driving a shift from digitalization to "intelligent" transformation. Since late 2022, policies such as the national AI+ action plan and the "National Data Infrastructure Construction Guideline" have accelerated the construction of AI‑centric digital infrastructure, positioning AI and data as core to China’s new‑quality productivity.
Three Core Challenges of Industry Intelligent Transformation
1. Integrated foundational infrastructure – The infrastructure must simultaneously support general compute for critical and analytical tasks and specialized AI compute for recognition and generation, requiring redesign at the platform, virtualization, software‑stack, and operations layers.
2. Higher data processing capability – Beyond data products, the data production chain must handle AI model generation, demanding larger scale, higher quality, real‑time collection, and synthetic data, while ensuring multimodal data can be reliably consumed by AI models.
3. Evolving application production model – Applications must move from purely code‑driven to a tri‑driven model of code, data, and intelligence, demanding self‑adapting agents, automated development, and new talent and organizational structures.
Accelerating the "From 1 to 100" Leap
Industry players have largely completed the "0‑to‑1" stage of digital foundation building. To achieve the "1‑to‑100" leap, close collaboration among industry consortia, technology firms, and open‑source ecosystems is required, avoiding duplicated effort and rapidly catching up with global advances.
Evolution of the "Yuanqi" Digital Infrastructure
2022‑08 : China Electronics and China Electric Jinxin launched the first‑generation "Yuanqi" platform, delivering a full‑stack solution for finance and other key sectors, aiming to replace traditional architectures.
2023‑08 : With growing demand for intelligent computing, "Yuanqi" 2.0 introduced a milestone "consulting + base + application" solution, expanding AI R&D support and extending to a broader range of industries.
2024‑12 : In response to the large‑model era, "Yuanqi" 3.0 ("Yuanqi AI+") was released, offering a more flexible, AI‑centric digital base to meet diverse intelligent‑transformation needs.
Four‑Platform Architecture of "Yuanqi" 3.0
1. Basic Runtime Support Platform – A "prefabricated + open decoupling" commercial compute base that integrates heterogeneous AI compute (multiple domestic and foreign GPUs) via a self‑developed GPU adapter, providing unified scheduling for compute, data assets, and AI models.
2. Digital Construction Platform – An "industry‑technology fusion" DevOps platform delivering an integrated toolchain and governance system for enterprise‑level software factories.
3. Data Asset Platform – An end‑to‑end data capability platform that enables high‑quality data resourceization, productization, and assetization based on a "data‑driven" philosophy.
4. Industry AI Platform – An intelligent engine that empowers enterprises to build large‑scale AI production capabilities, merging code‑driven, data‑driven, and intelligence‑driven development cycles.
From AI Infra to AI 4 Infra: Full‑Scale Upgrade
The "AI Infra" concept provides high‑performance, reliable, and scalable compute resources for AI workloads. "Yuanqi" 3.0 extends this to "AI 4 Infra", integrating intelligent tooling across the entire software lifecycle—coding, testing, deployment, and operations—to boost R&D efficiency and accelerate product iteration.
By embedding AI capabilities into the underlying infrastructure, the platform avoids isolated AI stacks, instead offering a unified, secure, and extensible foundation for large‑model applications across finance, energy, manufacturing, and internet sectors.
Outlook
Continuing the AI+ national strategy, China Electric Jinxin plans to deepen collaboration with key industries, break through data, compute, and algorithm bottlenecks, and further enhance domestic technology strength, positioning the "Yuanqi" series as a cornerstone for high‑quality, intelligent economic development.
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