Quick Takeaways
- Autolink’s Deep Fusion EEA introduces a unified, high-performance electrical and electronic architecture to support software-defined and intelligent vehicles.
- The architecture moves beyond concept to commercialization, with integrated domain controllers already in mass production for a Chinese OEM program.
Autolink Information Technology Co., Ltd. announced the upcoming January 2026 rollout of its Deep Fusion EEA, a next-generation automotive electrical and electronic architecture revealed at CES 2026 in Las Vegas. The Deep Fusion EEA is designed to fundamentally transform how vehicle computing and communication systems are structured, addressing the growing complexity of intelligent and software-driven vehicles.
Built as a fully integrated automotive system, the Deep Fusion EEA overcomes the limitations of traditional multi-domain architectures, where isolated control units often lead to inefficient computing power usage and constrained scalability. By rethinking system-level computing and communication methods, the Deep Fusion EEA creates a unified framework that supports continuous evolution as vehicle software and intelligence demands increase.
Deep Fusion EEA Enables High-Performance System Integration
The Deep Fusion EEA architecture is based on a high-bandwidth, low-latency, and highly reliable backbone communication network. This backbone allows seamless access to nearby sensors while enabling rapid and efficient data transfer across the vehicle. Such capabilities are essential for supporting high-resolution perception systems required in advanced driver assistance and automated driving applications.
Key architectural advantages include:
These features ensure the Deep Fusion EEA can meet the stringent performance requirements of next-generation intelligent vehicles.
Deep Fusion EEA Supports Advanced Intelligent Driving Systems
For Level 3 and Level 4 intelligent driving, the Deep Fusion EEA introduces a heterogeneous backup architecture that significantly enhances system safety and reliability. By incorporating redundancy at the architectural level, the solution ensures stable operation even under fault conditions, which is critical for higher levels of driving automation.
In addition, the Deep Fusion EEA enables shared computing resources and collaborative scheduling across domain controllers. This approach establishes a scalable computing foundation that supports coordinated operation between edge-based large models, intelligent cockpit functions, and intelligent driving systems. The result is a flexible platform capable of adapting to future software and hardware upgrades.
Deep Fusion EEA Moves from Architecture Innovation to Mass Production
Alongside architectural research and development, Autolink is accelerating the commercialization of integrated domain controllers. Its cockpit-driving integrated domain control solution powered by the Qualcomm SA8775P chip entered mass production in October 2025. The solution has since been selected by a leading Chinese automaker for a new vehicle project, highlighting growing industry confidence in integrated EEA platforms.
By combining system-level architectural innovation with production-ready hardware solutions, the Deep Fusion EEA positions itself as a key enabler for the next phase of intelligent, software-defined vehicles, supporting long-term scalability, performance efficiency, and functional integration.
Built as a fully integrated automotive system, the Deep Fusion EEA overcomes the limitations of traditional multi-domain architectures, where isolated control units often lead to inefficient computing power usage and constrained scalability. By rethinking system-level computing and communication methods, the Deep Fusion EEA creates a unified framework that supports continuous evolution as vehicle software and intelligence demands increase.
Deep Fusion EEA Enables High-Performance System Integration
The Deep Fusion EEA architecture is based on a high-bandwidth, low-latency, and highly reliable backbone communication network. This backbone allows seamless access to nearby sensors while enabling rapid and efficient data transfer across the vehicle. Such capabilities are essential for supporting high-resolution perception systems required in advanced driver assistance and automated driving applications.
Key architectural advantages include:
- High-speed data transmission to support sensor fusion
- Low-latency communication for real-time decision-making
- Reliable system operation under complex driving scenarios
These features ensure the Deep Fusion EEA can meet the stringent performance requirements of next-generation intelligent vehicles.
Deep Fusion EEA Supports Advanced Intelligent Driving Systems
For Level 3 and Level 4 intelligent driving, the Deep Fusion EEA introduces a heterogeneous backup architecture that significantly enhances system safety and reliability. By incorporating redundancy at the architectural level, the solution ensures stable operation even under fault conditions, which is critical for higher levels of driving automation.
In addition, the Deep Fusion EEA enables shared computing resources and collaborative scheduling across domain controllers. This approach establishes a scalable computing foundation that supports coordinated operation between edge-based large models, intelligent cockpit functions, and intelligent driving systems. The result is a flexible platform capable of adapting to future software and hardware upgrades.
Deep Fusion EEA Moves from Architecture Innovation to Mass Production
Alongside architectural research and development, Autolink is accelerating the commercialization of integrated domain controllers. Its cockpit-driving integrated domain control solution powered by the Qualcomm SA8775P chip entered mass production in October 2025. The solution has since been selected by a leading Chinese automaker for a new vehicle project, highlighting growing industry confidence in integrated EEA platforms.
By combining system-level architectural innovation with production-ready hardware solutions, the Deep Fusion EEA positions itself as a key enabler for the next phase of intelligent, software-defined vehicles, supporting long-term scalability, performance efficiency, and functional integration.
Press Release
Click above to visit the official source.
Share: