SiMa.ai and Synopsys Collaborate to Accelerate Automotive AI Innovation with Advanced Machine Learning Technologies and Design Tools.

SiMa.ai and Synopsys have expanded their strategic collaboration to accelerate AI innovation in the automotive industry. The partnership aims to develop advanced chiplet architectures and reference SoC designs optimized for ADAS and IVI. The collaboration addresses challenges such as ultra-low power consumption, real-time processing, scalability, cost-effectiveness, and automotive-grade functional safety. SiMa.ai's ML simulators will be integrated into Synopsys' design platforms, enabling faster development of AI solutions for the automotive industry.

SiMa.ai and Synopsys have expanded their strategic collaboration to accelerate AI innovation in the automotive industry. The partnership aims to develop advanced chiplet architectures and reference SoC designs optimized for Advanced Driver Assistance Systems (ADAS) and In-Vehicle Infotainment (IVI). The collaboration addresses challenges such as ultra-low power consumption, real-time processing, scalability, cost-effectiveness, and automotive-grade functional safety.

The collaboration will combine SiMa.ai's energy-efficient ML processing with Synopsys' automotive IP and design tools. This integration will facilitate the development of advanced chiplet architectures and reference SoC designs tailored to meet the unique demands of automotive AI applications. SiMa.ai's ML simulators will be integrated into Synopsys' design platforms, enabling faster development of AI solutions for the automotive industry.

"This automotive AI presents exciting challenges and massive potential," said Krishna Rangasayee, CEO of SiMa.ai. "With Synopsys' ecosystem and proven design tools, we can fast-track our ML innovation into automotive platforms." Ravi Subramanian, Chief Product Management Officer at Synopsys, echoed this sentiment, noting that the partnership is driven by a strong interest from mutual customers to combine Synopsys' proven automotive IP portfolio and design engineering expertise with SiMa.ai's innovative machine learning acceleration technologies.

The expanded collaboration integrates SiMa.ai's ML simulators into Synopsys' design platforms, including Platform Architect™, Virtualizer™ Development Kit (VDK), and ZeBu® Emulation. These tools will enable exploration of architectural options, early software development and testing, and pre-silicon power, performance, and efficiency validation.

Machine learning accelerator IP and associated software will be available from SiMa.ai for early access customers by mid-2026, with a production release targeted for the end of 2026. Machine learning IP Chiplet that integrates technologies from both companies will be available by mid-2027.

This collaboration is expected to benefit automotive customers by accelerating ADAS feature development, enhancing infotainment experiences, reducing time-to-market, and achieving strict automotive safety and reliability standards. Synopsys consulting will also be available to streamline development.

SiMa.ai is pioneering ultra-efficient machine learning system-on-chip (MLSoC) platforms that deliver breakthrough performance-per-watt for edge AI applications. The company's innovative sparse neural network processing architecture and comprehensive software stack enable customers to deploy advanced AI capabilities across automotive, industrial, and consumer applications while meeting strict power, cost, and latency requirements.

References

[1] https://www.prnewswire.com/news-releases/simaai-expands-strategic-collaboration-with-synopsys-to-accelerate-automotive-ai-innovation-302517297.html