Synopsys and SiMa.ai Collaborate to Accelerate Automotive Edge AI Solutions

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Synopsys and SiMa.ai announce a strategic partnership to develop advanced AI-enabled silicon and software for next-generation vehicles, focusing on ADAS and IVI applications.

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Synopsys and SiMa.ai Join Forces for Automotive AI Innovation

Synopsys, a leading silicon provider software company, and SiMa.ai, a machine learning system-on-chip (MLSoC) specialist, have announced a strategic collaboration aimed at revolutionizing the automotive industry's approach to artificial intelligence (AI) 12. This partnership is set to accelerate the development of workload-specific silicon and software for AI-enabled features in next-generation vehicles.

Addressing Advanced Automotive Needs

The collaboration comes at a crucial time when Advanced Driver Assistance Systems (ADAS) and In-Vehicle Infotainment (IVI) are emerging as key differentiators for automakers. With the advent of generative AI (GenAI) in these applications, there's an increasing demand for edge AI capabilities to deliver real-time, multi-modal in-car experiences 1.

Current software-defined vehicle (SDV) architectures are struggling to meet the diverse application demands and the required compute, performance, and reliability. This partnership aims to provide automakers with AI-ready, workload-verified, and power-efficient software architectures to compete in this evolving landscape 1.

Integrated Solution Features

The joint solution will combine Synopsys' electronic design automation (EDA), automotive-grade IP, and hardware-assisted verification technologies with SiMa.ai's machine learning accelerator (MLA) IP and ML software stack 2. Key features of this integrated solution include:

  1. Early architecture exploration to guide optimal performance, power, and software application requirements.
  2. Shift-left software development optimized for multi-modal functions and GenAI.
  3. Cost-effective and differentiated in-vehicle experiences through customizable silicon-proven building blocks.
  4. Continuous upgradeability of automotive edge AI solutions, including support for over-the-air updates 13.

Industry Impact and Expectations

Ravi Subramanian, head of Synopsys' Product Management and Markets Group, emphasized that this collaboration will significantly modernize hardware/software co-design processes for automotive companies 1. The partnership is expected to enable customers to meet stringent cost considerations and industry standards while delivering advanced in-car experiences.

Krishna Rangasayee, Founder and CEO of SiMa.ai, highlighted the potential of their MLSoC platform in creating smarter and safer vehicles. He stated, "Our MLSoC platform delivers high performance at low power, enabling automakers to create smarter and safer vehicles" 2.

Market Position and Future Outlook

Synopsys brings to the table its strong position in the automotive ecosystem, with over 50 OEMs and Tier 1 suppliers using its virtual prototyping technologies 1. SiMa.ai, known for its high-performance, power-efficient MLSoC solutions, complements this with its flexible tech stack supporting a wide range of models, sensors, and applications 12.

The collaboration is timely, considering the increasing pressure on automotive manufacturers to support GenAI and real-time, multi-modal in-car experiences. Both companies aim to address these challenges with a fully customizable workflow, potentially reducing development costs and supporting faster time-to-market for AI-enabled automotive solutions 2.

As the automotive industry continues to evolve with AI at its core, partnerships like this between Synopsys and SiMa.ai are likely to play a crucial role in shaping the future of intelligent, connected vehicles.

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