KUALA LUMPUR, Dec 18 (Bernama) -- SiMa.ai has collaborated with Synopsys to jointly deliver a new solution for automotive companies to accelerate the development of workload-specific silicon and software needed to power artificial intelligence (AI)-enabled features in next-generation automobiles.
“Collaborating closely with Synopsys allows us to provide automotive manufacturers with complete, optimised solutions that accelerate their development cycles.
“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,” said SiMa.ai Founder and Chief Executive Officer, Krishna Rangasayee in a statement.
Meanwhile, Head of the Synopsys Product Management and Markets Group, Ravi Subramanian said: “Our leadership in architecture exploration, IP, and hardware-assisted verification, combined with SiMa.ai’s innovative performance and power-optimised ML capabilities, will enable customers to differentiate while continuing to meet stringent cost considerations and industry standards.”
The solution will combine Synopsys' best-in-class Electronic Design Automation (EDA), automotive-grade IP, and hardware-assisted verification solutions with SiMa.ai’s leading machine learning accelerator (MLA) IP and a complete ML software stack application development environment for maximum customisation of IP, subsystems, chiplets, and System-on-Chips (SoCs).
The integrated Synopsys and SiMa.ai solution will be designed to enable early architecture exploration, shift-left software development, cost-effective and differentiated in-vehicle experiences, and continuous upgradeability of automotive edge AI solutions.
SiMa.ai is the software-centric company that specialises in developing high-performance, power-efficient MLSoC solutions for the embedded edge, while Synopsys is a trusted partner to the worldwide automotive ecosystem.
The SiMa.ai tech stack emphasises flexibility, offering support for the widest number of models, sensors, and applications possible, and automatically optimises them for peak performance.
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