Synopsys and SiMa.ai have announced a strategic collaboration to deliver a solution that accelerates the of AI-enabled silicon and software for next-generation automobiles. This aims empower automotive companies to create workload-specific-chip (SoCs) and software architectures that meet the rising demand for advanced artificial intelligence (AI) features in vehicles.
Synopsys offers extensive experience with over50 automotive OEMs and Tier 1 suppliers utilizing its virtual prototyping technologies and a portfolio of more than 1,000 virtual models. SiMa.ai with a software-centric approach, delivering high-performance, power-efficient MLSo solutions optimized for edge applications.
The integrated solution will merge Synopsys’ expertise in electronic design automation (EDA), automotive-grade IP, and hardware-assisted verification with SiMa.ai’s advanced machine learning accelerator (MLA) IP and machine learning (ML) software stack.
Tackling Challenges
As advanced driver systems (ADAS) and in-vehicle infotainmentIVI) become critical differentiators for automakers, the integration of generative AI (GenAI) features necessitates real-time, edge computing solutions. However, existing software-defined vehicle (SDV) architectures challenged to fulfill the diverse requirements for power, performance, and. Automakers are confronted with the dual challenge creating cost-effective systems while mitigating timeline risks
The Synopsys-SiMa.ai collaboration aims to address these challenges by offering a unified hardware-software co-design framework that spans from silicon to systems, allowing automakers to reduce costs, development cycles, and deliver differentiated invehicle experiences.
Key Benefits of the Collaboration
The integrated solution will offer:
- Early Architecture Exploration: Engineers can guide designs to optimize performance, power, and software application requirements for custom or third-party SoCs.
- Shift-Left Software Development: Optimized for multi functions and Gen, the solution includes virtual prototyping and emulation accelerate hardware-software integration and time market
- CostEffective AI Solutions: Silicon-proven building blocks and subsystems for high-performance MLCs and chiplets will be fully customizable to handle diverse workloads.
- Continuous Upgradeability: Virtual prototypes will facilitate over-the updates, meeting both current and future automotive AI needs.
Ravi Subramanian, head of Synopsys Product Management and Markets Group, commented, “Our with SiMa.ai represents a significant advancement in modernizing hardware/software co-design processes. This will enable automotive companies to the demand for advanced in-car while balancing costs and industry standards.”
Krishna Rangasayee, Founder and CEO of SiMa.ai, added, “By integrating SiMa.ai’s MLSoC platform with Synopsys’ industry-leading IP and software, we are empowering automotive OEMs to innovate an unprecedented scale, thereby making future vehicles smarter and safer.”