Author: Suraj Gajendra, Vice President of Products and Solutions, Arm Automotive Division
In the automotive industry, vehicles are becoming increasingly intelligent and interconnected, defined by artificial intelligence (AI). Features that were once only deployed in high-end models, such as real-time driver monitoring, predictive maintenance, and adaptive in-vehicle infotainment (IVI) systems, are now rapidly becoming standard equipment in new models. At the same time, automotive development is becoming more complex, with tighter schedules and evolving safety standards, leading to higher demands for scalable computing capabilities.
OEMs and chip suppliers need a modular, secure, software-ready computing platform that combines high performance with energy efficiency, while also reducing integration risks and shortening development times for various vehicle models.
Almost all OEMs worldwide benefit from Arm’s foundational technology. In light of this advantage, Arm has launched a computing platform specifically designed for the next generation of vehicles (i.e., AI-defined automobiles) — the Arm Zena Compute Subsystem (CSS).
The New Integrated CSS Will Shorten Chip Development Cycles
The first generation of Zena CSS is a standardized, pre-integrated, and pre-validated computing platform based on the latest market-validated Armv9 Automotive Enhanced (AE) technology. This computing platform combines low power consumption, high performance, and validated IP, along with dedicated security islands and runtime security engines, plus reference firmware and software support, forming a complete CSS for chip implementation. This comprehensive solution allows OEMs to act faster from concept to mass production, reducing costs and risks while creating a more differentiated and intelligent driving experience.
The typical automotive development cycle lasts three to five years, but Zena CSS can significantly shorten the delivery process for automotive hardware and software. As the automotive industry moves towards AI-defined vehicles, intelligence will be distributed across different areas, with features and workloads executed at the edge via over-the-air (OTA) updates. Zena CSS provides a unified computing foundation with scalability and security capabilities, empowering OEMs to maintain their pace of innovation and achieve large-scale implementation of innovations.
The various subsystems of Zena CSS include the following components and features:
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High-performance computing with a 16-core Arm Cortex-A720AE CPU cluster;
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CPU consistency and I/O connectivity provided by CMN S3AE;
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Real-time processing security island using Arm Cortex-R82AE;
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Runtime security engine for secure OTA updates;
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System-level security and root of trust enabled by Arm TrustZone;
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Validated RTL design and reference firmware;
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Optional integration of graphics processing units (GPUs) and image signal processors (ISPs) powered by Arm Mali GPU and Mali-C720AE;
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Easy integration of accelerators and partner-specific logic components to meet the increasingly diverse workload demands of advanced AI system-on-chip (SoC) designs.
Compared to starting chip design from IP, Zena CSS pre-integrates hardware and firmware components, potentially shortening the chip development cycle by up to 12 months. Zena CSS can also extend applications to IVI, central computing, and L2+ advanced driver assistance systems (ADAS), allowing OEMs to flexibly deploy across various vehicle series and performance tiers without redesigning the computing stack or starting safety certification from scratch. Furthermore, the Arm computing architecture, prevalent throughout the automotive ecosystem, enables OEMs to reuse and port many components of their software, including firmware, middleware, operating systems, and applications, across different vendors’ Zena CSS-based SoCs.
Reducing Development Costs and Complexity for OEMs
Zena CSS helps reduce both upfront and ongoing engineering burdens. This is particularly important for the time-sensitive and feature-rich automotive industry. Zena CSS offers the following benefits to help lower costs and complexity during the development process:
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Compared to traditional IP-based chip design, Zena CSS can reduce chip engineering workload by up to 20%, allowing teams to focus on developing differentiated features for AI-defined automotive workloads;
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Through software standardization, cross-platform porting workload can be reduced by up to 30%, saving software development time and costs.
These benefits can lower the overall development costs of vehicle platforms, while the consistent Arm architecture provides scalability across ADAS, central computing, and IVI use cases, applicable to both single-chip and chiplet designs.
Widely Trusted in the Industry, Built for Functional Safety
The latest Arm AE technology with built-in safety features has been widely deployed in the automotive market. On this basis, Zena CSS integrates dedicated safety hardware such as security islands and runtime security engines within its subsystems. These safety-capable, pre-validated hardware components are architecturally connected to the main computing core cluster of Zena CSS, enabling secure boot and supporting features such as fault detection and management, while also helping to reduce costs and shorten certification processes.
By integrating a security island driven by Cortex-R82AE, Zena CSS can be widely deployed in safety-critical use cases, including ADAS and domain controllers. At the same time, the software ecosystem can innovate and differentiate on this mature and secure foundation. Meanwhile, Zena CSS also supports software reuse and porting, accelerating deployment processes.
Accelerating Development with Arm Technology-Based Virtual Platforms
Achieving Early Development and Faster Completion
Following the launch of an IP-focused virtual platform last year, Arm partners such as Cadence, Siemens, and Synopsys have introduced a virtual platform supporting the Zena CSS compute subsystem layer. The new virtual platform has been proven to enable smoother integration and accelerate time-to-market, especially in safety-critical areas. This allows engineering teams to begin hardware-software co-design and validation without waiting for physical chips, potentially shortening development cycles by up to two years. For AI-defined vehicles, developers can validate AI workloads and edge-side inference behavior in a real simulation environment through the virtual platform.
By combining RTL simulation with virtual platforms, OEMs can build confidence in the Zena CSS computing architecture before chip readiness, effectively reducing risks and costs. Meanwhile, the Armv9 architecture’s instruction set architecture (ISA) is consistent from cloud to edge, allowing for software testing in the cloud before actual deployment in vehicles, thereby accelerating the development and validation of chip and software solutions.
Fully Integrated Standardized Firmware and SOAFEE Blueprint
The design intent of Zena CSS is to support open, scalable software development to accommodate modern and future automotive applications. Arm is opening the Zena CSS reference firmware to the entire ecosystem, and every component, including safety features, has been pre-validated and fully integrated.
Zena CSS is closely aligned with SOAFEE (Scalable Open Architecture for Embedded Edge), which has developed multiple blueprint projects applicable to real automotive scenarios for CSS, including the Autoware Open AD Kit blueprint project promoting autonomous driving features, the latest blueprint project designed by DENSO for mixed criticality safety requirements, and the blueprint project designed by Panasonic Automotive Systems for developing and deploying digital cockpit and IVI solutions.
Thanks to Arm SystemReady (Arm’s certification and compliance program) and other industry-standard APIs, these SOAFEE blueprint projects can run seamlessly on top of Zena CSS, providing OEMs with true flexibility in software decisions. In fact, the new automotive extension of Arm SystemReady will be fully open to the ecosystem by the end of 2025, ensuring that operating systems and software stacks for automotive applications can run seamlessly on different hardware.
By providing standardized firmware and software based on Zena CSS, Arm can offer a full-stack solution that enables the software ecosystem to build and create differentiated applications in the automotive market while supporting software reuse and porting to accelerate cross-platform application and feature deployment. Through this pre-built ecosystem for Zena CSS, Arm is committed to helping all automotive partners achieve their goals more easily and reduce risks, with SOAFEE playing a key role in this ecosystem.
Designed for the Future of AI-Defined Automobiles
The transition towards AI-defined vehicles is underway. From real-time sensor fusion to natural language processing in the cabin, AI has become a core capability across various domains in automobiles. However, new challenges accompany the development of these intelligent features, including heterogeneous computing demands, real-time inference at the edge, and ongoing large-scale updates driven by AI and software.
Vehicles are no longer defined solely by hardware but are shaped by intelligent systems that can learn, adapt, and improve over time. Zena CSS is born for this transformation, capable of achieving scalable performance, commercial differentiation, simplified integration, and supporting software portability to meet the arrival of the AI-defined automotive era. With a rich partner ecosystem, virtual platform, and open standards support, Zena CSS provides the foundation for accelerating industry development and scaling the delivery of smarter vehicles.
The future of automobiles is defined by AI, and Arm is the cornerstone of automotive computing platforms.
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