SiMa.ai, a pioneer in ultra-efficient machine learning system-on-chip (MLSoC) platform, announced the next phase of their strategic collaboration with Synopsys, the leading provider of engineering solutions from silicon to systems, to accelerate AI innovation for the automotive industry.
This collaboration will combine SiMa.ai’s energy-efficient ML processing with Synopsys’ automotive IP and design tools to develop advanced chiplet architectures and reference SoC designs optimized for Advanced Driver Assistance Systems (ADAS) and In-Vehicle Infotainment (IVI).
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“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.”
Addressing Critical Industry Needs
As vehicles become increasingly autonomous and connected, automakers face mounting demand for intelligent, efficient AI processing. This collaboration focuses on overcoming key industry challenges, including:
- Ultra-low power consumption for EVs and hybrids
- Real-time processing for safety-critical ADAS functions
- Scalable designs for diverse performance needs
- Cost-effective architectures for broad market adoption
- Compliance with automotive-grade functional safety
“The automotive industry’s transformation toward intelligent, software-defined vehicles requires unprecedented levels of AI processing efficiency and reliability,” said Ravi Subramanian, Chief Product Management Officer at Synopsys. “Our partnership with SiMa.ai is driven by 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 to deliver solutions that meet the unique demands of automotive AI applications.”
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Enabling Faster Development with Advanced tools:
The expanded collaboration integrates SiMa.ai’s ML simulators into Synopsys’ design platforms:
- Platform Architect: Enabling exploration of architectural options and model ML requirements optimized for automotive OEM specific ADAS/IVI workloads.
- Virtualizer Development Kit (VDK): Enabling early software development and testing across the automotive ecosystem.
- ZeBu Emulation: Providing pre-silicon power, performance, and efficiency validation, supported by 95-97% accuracy between pre-silicon power emulation estimates and actual silicon.
Benefits for OEMs and Tier1s
This collaboration helps automotive customers:
- Accelerate ADAS feature development like object detection, lane keeping assistance, automated parking, and collision avoidance systems.
- Enhance infotainment experiences with AI-powered voice recognition, gesture control, personalized user interfaces, and advanced multimedia processing.
- Reduce time-to-market and development risk with proven IP and reference designs.
- Achieve strict automotive safety and reliability standards.
- Utilize Synopsys consulting to streamline development.
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Source – PR Newswire
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