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[1]
Synopsys and SiMa.ai Announce Strategic Collaboration to Accelerate Development of Automotive Edge AI Solutions
Joint Solution to Speed SoC Development for Next-generation ADAS and IVI Applications Synopsys (Nasdaq: SNPS) and SiMa.ai today announced a strategic collaboration to jointly deliver a new solution for automotive companies to accelerate the development of workload-specific silicon and software needed to power artificial intelligence-enabled features in next-generation automobiles. The solution will combine Synopsys' best-in-class EDA, automotive-grade IP, and hardware-assisted verification solutions with SiMa.ai's leading machine learning accelerator (MLA) IP and complete ML software stack application development environment for maximum customization of IP, subsystems, chiplets, and SoCs. Advanced Driver Assistance Systems (ADAS) and In-vehicle Infotainment (IVI) are emerging as key differentiators for automakers with a tremendous diversity in applications. The advent of generative artificial intelligence (GenAI) features in these applications requires artificial intelligence (AI) at the edge to deliver real-time, multi-modal in-car experiences. However, current software-defined vehicle (SDV) architectures are not equipped to support related demands for the diversity of applications and the required compute, performance, and reliability. Automakers need AI-ready, workload-verified, power-efficient software architectures to compete in this new environment. Further, they need hardware-software co-design solutions, from silicon-to-systems, to reduce development costs and de-risk start-of-production timelines. Synopsys is a trusted partner to the worldwide automotive ecosystem with more than 50 OEMs and Tier 1 suppliers using Synopsys virtual prototyping technologies, and more than 1,000 virtual models developed from SoC IP to board-level ICs and ASICs. SiMa.ai is the software-centric company that specializes in developing high performance, power-efficient machine learning system on chip (MLSoC) solutions for the embedded edge. The SiMa.ai tech stack emphasizes flexibility, offering support for the widest number of models, sensors and applications possible, and automatically optimizes them for peak performance. The integrated Synopsys and SiMa.ai solution will be designed to enable: Early architecture exploration: Capability to guide automotive design engineers to optimally-choose performance, power, and software application requirements for custom or 3rd party SoC development. Shift-left software development: The solution will be optimized for multi-modal functions and GenAI, as well as to provide an end-to-end workflow including virtual prototyping and emulation to accelerate software/hardware integration and speed time to market. Cost-effective and differentiated in-vehicle experiences: Silicon-proven building blocks and subsystems for high-performance automotive ML SoCs and chiplets that are fully customizable to support diverse workloads, integrating SiMa.ai's leading, easy-to-use ML software and tools. Continuous upgradeability of automotive edge AI solutions: Applications with AI capabilities can be developed to support both current and future requirements. In addition, virtual prototypes can be used to develop and test over-the-air updates. "Our collaboration with SiMa.ai will provide automotive companies a significant step forward in modernizing their hardware/software co-design processes to meet demand for advanced, in-car experiences that are increasingly costly and complex to deliver," said Ravi Subramanian, head of the Synopsys Product Management and Markets Group. "Our leadership in architecture exploration, IP, and hardware-assisted verification, combined with SiMa.ai's innovative performance and power-optimized ML capabilities, will enable customers to differentiate while continuing to meet stringent cost considerations and industry standards." "Collaborating closely with Synopsys allows us to provide automotive manufacturers with complete, optimized solutions that accelerate their development cycles," said Krishna Rangasayee, Founder and CEO, SiMa.ai. "The SiMa.ai MLSoC platform was designed for best possible performance at lowest power consumption across a diverse set of applications -- that was the missing piece in the puzzle to make future cars so much smarter and safer than what we have today. When combined with Synopsys' industry-leading IP and software, we will deliver a powerful foundation for innovation across auto OEMs in autonomous driving and in-vehicle experiences." About Synopsys Catalyzing the era of pervasive intelligence, Synopsys, Inc. (Nasdaq: SNPS) delivers trusted and comprehensive silicon to systems design solutions, from electronic design automation to silicon IP and system verification and validation. We partner closely with semiconductor and systems customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at www.synopsys.com. About SiMa.ai SiMa.ai is the software-centric, embedded edge machine learning system-on-chip (MLSoC) company. SiMa.ai delivers ONE Platform for Edge AI that flexibly adjusts to any framework, network, model, sensor, or modality. Edge ML applications that run completely on the SiMa.ai MLSoC and Modalix product family see a tenfold increase in performance and energy efficiency, bringing higher fidelity intelligence to ML use cases spanning computer vision to generative AI, in minutes. With SiMa.ai, customers unlock new paths to revenue and significant cost savings to innovate at the edge across automotive, industrial manufacturing, retail, aerospace, defense, agriculture, and healthcare. Learn more at www.sima.ai.
[2]
SiMa.ai, Synopsys Partner to Advance Automotive AI Solutions | AI News
"Our MLSoC platform enables automakers to create smarter and safer vehicles," says Krishna Rangasayee, founder and CEO at SiMa.ai. Synopsys, a silicon provider software company, and SiMa.ai, a machine learning system-on-chip (MLSoC) company, have announced a strategic collaboration. This partnership aims to accelerate the development of AI-enabled silicon and software for next-generation vehicles. The joint solution is designed to address the increasing demands of Advanced Driver Assistance Systems (ADAS) and In-Vehicle Infotainment (IVI) applications. The partnership will combine Synopsys' electronic design automation (EDA), automotive-grade IP, and hardware verification technologies with SiMa.ai's machine learning accelerator (MLA) IP and ML software stack. The collaboration aims to help automakers deliver AI-ready, power-efficient solutions for workload-specific chip development, as per the official blog. Krishna Rangasayee, founder and CEO at SiMa.ai, announced this collaboration on LinkedIn and said, "Look forward to helping all automotive OEMs and Tier1s globally get ahead on their ADAS and IVI needs, with industry-leading AI/ML capabilities." The solution will focus on enabling early architecture exploration, optimised software development, and cost-effective in-vehicle experiences. It will also support continuous upgrades, including over-the-air updates for automotive edge AI applications and the capability to guide automotive design engineers. This will help them choose performance, power, and software application requirements for custom or 3rd party SoC development. Ravi Subramanian, head of Synopsys's product management and markets group, said, "Our collaboration with SiMa.ai will provide automotive companies with a significant step forward in modernising their hardware/software co-design processes and enable customers to meet cost considerations and industry standards." Rangasayee further added, "Our MLSoC platform delivers high performance at low power, enabling automakers to create smarter and safer vehicles." In a previous interaction with AIM, Rangasayee also stated that the company is betting on India's renewed focus on manufacturing and semiconductor fabrication ambitions. For strategic reasons, it has chosen not to sell its chips in China, despite it being the largest semiconductor market in the world. In September this year, SiMa.ai announced the launch of MLSoC Modalix, the industry's first multi-modal edge AI product family. The partnership comes as automotive manufacturers face increasing pressure to support generative AI and real-time, multi-modal in-car experiences. Automakers require solutions that integrate software and hardware while meeting stringent performance, reliability, and cost requirements. Both companies claim to address these challenges with a fully customisable workflow, which reduces development costs and supports faster time-to-market for AI-enabled automotive solutions.
[3]
Synopsys and SiMa.ai Announce Strategic Collaboration to Accelerate Development of Automotive Edge AI Solutions - Synopsys (NASDAQ:SNPS)
Joint Solution to Speed SoC Development for Next-generation ADAS and IVI Applications SUNNYVALE, Calif. and SAN JOSE, Calif., Dec. 17, 2024 /PRNewswire/ -- Synopsys SNPS and SiMa.ai today announced a strategic collaboration to jointly deliver a new solution for automotive companies to accelerate the development of workload-specific silicon and software needed to power artificial intelligence-enabled features in next-generation automobiles. The solution will combine Synopsys' best-in-class EDA, automotive-grade IP, and hardware-assisted verification solutions with SiMa.ai's leading machine learning accelerator (MLA) IP and complete ML software stack application development environment for maximum customization of IP, subsystems, chiplets, and SoCs. Advanced Driver Assistance Systems (ADAS) and In-vehicle Infotainment (IVI) are emerging as key differentiators for automakers with a tremendous diversity in applications. The advent of generative artificial intelligence (GenAI) features in these applications requires artificial intelligence (AI) at the edge to deliver real-time, multi-modal in-car experiences. However, current software-defined vehicle (SDV) architectures are not equipped to support related demands for the diversity of applications and the required compute, performance, and reliability. Automakers need AI-ready, workload-verified, power-efficient software architectures to compete in this new environment. Further, they need hardware-software co-design solutions, from silicon -to-systems, to reduce development costs and de-risk start-of-production timelines. Synopsys is a trusted partner to the worldwide automotive ecosystem with more than 50 OEMs and Tier 1 suppliers using Synopsys virtual prototyping technologies, and more than 1,000 virtual models developed from SoC IP to board-level ICs and ASICs. SiMa.ai is the software-centric company that specializes in developing high performance, power-efficient machine learning system on chip (MLSoC) solutions for the embedded edge. The SiMa.ai tech stack emphasizes flexibility, offering support for the widest number of models, sensors and applications possible, and automatically optimizes them for peak performance. The integrated Synopsys and SiMa.ai solution will be designed to enable: Early architecture exploration: Capability to guide automotive design engineers to optimally-choose performance, power, and software application requirements for custom or 3rd party SoC development.Shift-left software development: The solution will be optimized for multi-modal functions and GenAI, as well as to provide an end-to-end workflow including virtual prototyping and emulation to accelerate software/hardware integration and speed time to market. Cost-effective and differentiated in-vehicle experiences: Silicon-proven building blocks and subsystems for high-performance automotive ML SoCs and chiplets that are fully customizable to support diverse workloads, integrating SiMa.ai's leading, easy-to-use ML software and tools.Continuous upgradeability of automotive edge AI solutions: Applications with AI capabilities can be developed to support both current and future requirements. In addition, virtual prototypes can be used to develop and test over-the-air updates. "Our collaboration with SiMa.ai will provide automotive companies a significant step forward in modernizing their hardware/software co-design processes to meet demand for advanced, in-car experiences that are increasingly costly and complex to deliver," said Ravi Subramanian, head of the Synopsys Product Management and Markets Group. "Our leadership in architecture exploration, IP, and hardware-assisted verification, combined with SiMa.ai's innovative performance and power-optimized ML capabilities, will enable customers to differentiate while continuing to meet stringent cost considerations and industry standards." "Collaborating closely with Synopsys allows us to provide automotive manufacturers with complete, optimized solutions that accelerate their development cycles," said Krishna Rangasayee, Founder and CEO, SiMa.ai. "The SiMa.ai MLSoC platform was designed for best possible performance at lowest power consumption across a diverse set of applications -- that was the missing piece in the puzzle to make future cars so much smarter and safer than what we have today. When combined with Synopsys' industry-leading IP and software, we will deliver a powerful foundation for innovation across auto OEMs in autonomous driving and in-vehicle experiences." Meet with Synopsys and SiMa.ai at CES 2025 Join Synopsys and SiMa.ai at CES 2025, January 7-10, 2025, to learn more about how we are collaborating to transform the development of automotive edge AI solutions. Contact SynopsysAutomotive@synopsys.com to schedule a meeting onsite. About Synopsys Catalyzing the era of pervasive intelligence, Synopsys, Inc. SNPS delivers trusted and comprehensive silicon to systems design solutions, from electronic design automation to silicon IP and system verification and validation. We partner closely with semiconductor and systems customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at www.synopsys.com. About SiMa.ai SiMa.ai is the software-centric, embedded edge machine learning system-on-chip (MLSoC) company. SiMa.ai delivers ONE Platform for Edge AI that flexibly adjusts to any framework, network, model, sensor, or modality. Edge ML applications that run completely on the SiMa.ai MLSoC and Modalix product family see a tenfold increase in performance and energy efficiency, bringing higher fidelity intelligence to ML use cases spanning computer vision to generative AI, in minutes. With SiMa.ai, customers unlock new paths to revenue and significant cost savings to innovate at the edge across automotive, industrial manufacturing, retail, aerospace, defense, agriculture, and healthcare. Learn more at www.sima.ai. Editorial Contacts Synopsys, Inc. Kelli Wheeler (650) 584-5000 corp-pr@synopsys.com SiMa.ai Jordan Beadle Sima@sbscomms.com Note: All trademarks and registered trademarks are the property of their respective owners. View original content to download multimedia:https://www.prnewswire.com/news-releases/synopsys-and-simaai-announce-strategic-collaboration-to-accelerate-development-of-automotive-edge-ai-solutions-302333262.html SOURCE Synopsys, Inc. Market News and Data brought to you by Benzinga APIs
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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.
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.
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.
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:
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.
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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SIMA.ai, a leading edge AI company, has introduced MLSoC Modalix, a new product family designed to enhance generative AI capabilities at the edge. This expansion of their One Platform for Edge AI aims to bring multimodal generative AI to various devices and applications.
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Synopsys partners with Taiwan Semiconductor Manufacturing Company (TSMC) to enhance AI chip design capabilities. The collaboration aims to accelerate innovation in artificial intelligence and high-performance computing.
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SiMa.ai, a machine learning company specializing in embedded edge solutions, has appointed Satish Mohanram as Senior Director of India Sales and Site GM to expand its presence in India's growing AI and semiconductor markets.
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Synaptics will demonstrate its Astra IoT platform and Veros connectivity portfolio at CES 2025, aiming to accelerate Edge AI development across various markets.
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