Feb. 02, 2026 –
SiMa.ai and Synopsys' partnership addresses the systemic failures through a shift-left approach.
By Abhishek Jadhav, embedded.com
The adoption of centralized, software-defined vehicle (SDV) architectures has increased the complexity in silicon design. As automotive original equipment manufacturers (OEMs) and Tier-1 suppliers aim to integrate generative AI (GenAI) and complex sensor fusion algorithms into vehicles, the computational requirements have surpassed the capabilities of legacy silicon development workflows.
The automotive industry is witnessing a divergence, as the amount of software code required to operate a modern vehicle cannot wait for the fabrication of physical silicon. This relates to extended cycle times due to the physics of advanced process nodes (7 nm and below).
The partnership between SiMa Technologies Inc. (SiMa.ai) and Synopsys offers a framework for the development of automotive systems-on-chips (SoCs) to deliver AI-enabled SDVs. The solution combines SiMa.ai’s machine learning accelerator (MLA) technology with Synopsys’ range of verification and prototyping tools.