Software-Hardware Integrated AI Intelligent Base: Multi-Terminal Application and Comprehensive Analysis

by Anika Shah - Technology
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Runxinwei Launches Domestic Software-Hardware Integrated AI Intelligent Base at Beijing Auto Display

On April 25, 2026, during the Beijing Auto Show, Runxinwei held a strategic and product launch event themed “Core Vision · New Pattern.” As a rare provider of full-stack solutions integrating “chips + operating systems + AI” in the industry, Runxinwei fully showcased for the first time its “domestic software-hardware integrated AI intelligent base” that can be applied to multi-terminal scenarios.

The launch event demonstrated Runxinwei’s progress in the field of multi-terminal intelligence, from the mass production of one million units in vehicles to the compatibility certification of openvela, and from in-vehicle cockpits to intelligent terminals of two-wheelers and robot computing power platforms. This reflects that the core competitiveness of Runxinwei’s “domestic software-hardware integrated AI intelligent base” products and solutions continues to stand out.

At the event, Runxinwei officially launched the “1+4+N” strategic system. This system is centered around the Zhixin · Domestic Computing Platform + Zhiwei · AIOS + Zhirun · Edge-side Model to build a domestically controllable AI intelligent base, empowering four major sectors including vehicle terminals, mobile terminals, AI intelligent hardware, and embodied intelligence. Runxinwei mentioned that it will work with partners to promote the extension of intelligence to scenarios such as transportation and industrial manufacturing, and achieve the large-scale implementation of scenario intelligence through technology reuse and ecosystem collaboration, aiming to become a neutral and open industrial connector.

Understanding the Domestic Software-Hardware Integrated AI Intelligent Base

The domestic software-hardware integrated AI intelligent base represents a significant advancement in edge AI technology. By combining domestically developed chips, operating systems, and AI models into a unified platform, Runxinwei addresses industry challenges related to supply chain security, technological sovereignty, and seamless integration across diverse terminal devices.

Understanding the Domestic Software-Hardware Integrated AI Intelligent Base
Runxinwei Hardware Integrated Intelligent Base

This integrated approach enables optimized performance for AI workloads at the edge, reducing latency and improving energy efficiency compared to discrete hardware and software solutions. The platform’s compatibility with openvela certification ensures interoperability with open-source ecosystems while maintaining domestic control over core technologies.

Applications Across Multi-Terminal Scenarios

Runxinwei’s AI intelligent base is designed for deployment across multiple terminal types:

Applications Across Multi-Terminal Scenarios
Runxinwei Intelligent Base Hardware
  • Vehicle Terminals: Powering in-vehicle cockpits and advanced driver assistance systems with one million units already in mass production
  • Mobile Terminals: Enabling intelligent features in smartphones and portable devices
  • AI Intelligent Hardware: Supporting smart home devices, wearables, and other consumer electronics
  • Embodied Intelligence: Providing computing power for robotics and autonomous systems

The platform’s versatility allows for consistent AI capabilities across these diverse form factors, facilitating seamless user experiences and simplified development for manufacturers.

The “1+4+N” Strategic System Explained

Runxinwei’s “1+4+N” strategy provides a framework for expanding the impact of its AI intelligent base:

The "1+4+N" Strategic System Explained
Runxinwei Hardware Integrated Intelligent Base
1 – Core Foundation
The Zhixin Domestic Computing Platform, Zhiwei AIOS, and Zhirun Edge-side Model form the essential triad for a domestically controllable AI foundation.
4 – Empowered Sectors
The core platform enables intelligence in vehicle terminals, mobile terminals, AI intelligent hardware, and embodied intelligence.
N – Extended Scenarios
Through partnerships and ecosystem collaboration, the intelligence extends to transportation, industrial manufacturing, and other application areas.

This hierarchical approach allows Runxinwei to maintain technological control at the core while enabling broad application through flexible implementation strategies.

Industry Context and Significance

The launch of Runxinwei’s domestic software-hardware integrated AI intelligent base occurs amid growing global demand for secure, efficient edge AI solutions. As AI transitions from cloud-centric models to distributed edge deployments, integrated hardware-software approaches become increasingly valuable for performance optimization and supply chain resilience.

By focusing on domestically developed components, Runxinwei contributes to technological self-reliance in critical AI infrastructure while offering solutions that meet international standards for performance and compatibility. The company’s participation in major industry events like the Beijing Auto Show signals growing recognition of domestic capabilities in the global AI landscape.

Future Outlook

Runxinwei’s strategy emphasizes ecosystem collaboration and technology reuse to achieve large-scale implementation of scenario intelligence. By working with partners across industries, the company aims to extend its AI intelligent base beyond initial terminal applications into broader industrial and transportation systems.

The focus on becoming a “neutral and open industrial connector” suggests an approach that balances proprietary technology development with industry collaboration—a model that could accelerate adoption while maintaining technological sovereignty.

As edge AI continues to evolve, integrated solutions like Runxinwei’s domestic software-hardware intelligent base represent a significant step toward making AI capabilities more accessible, efficient, and secure across the expanding landscape of intelligent terminals and systems.

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