Synopsys Launches First Open Electronic Digital Twin Platform
Synopsys has launched the first open electronic digital twin (eDT) platform to accelerate physical AI system development, enabling up to 90% of software validation to be done virtually before hardware availability.
Synopsys has announced the launch of the industry's first open electronic digital twin (eDT) platform, designed to accelerate the development of physical AI systems. With an initial focus on the automotive industry, the platform aims to dramatically shorten development cycles, which traditionally take three to four years, by enabling up to 90% of software validation to be performed virtually before hardware is available.
The new eDT Platform provides an end-to-end digital twin foundation that transforms engineering by bringing together Synopsys's product and market leadership. It integrates virtual SoC models, large-scale system simulations, and an extensive partner ecosystem to simplify, accelerate, and scale the development of next-generation vehicles.
At the core of the platform are cloud-based 'eDT Labs,' a collection of pre-integrated assets including Synopsys technologies, open-ecosystem tools, models, software, and scalable computing. These labs enable early evaluation of new SoCs and microcontrollers, early software development without hardware, seamless collaboration between teams, and system validation in continuous integration/testing workflows.
The platform is further enhanced through collaborations with key ecosystem partners such as Arm, AWS, and Vector. Arm provides its pre-integrated Arm Zena CSS virtual platform within Synopsys Virtualizer, allowing developers to validate production software stacks early. AWS offers its Graviton4 processors, which deliver breakthrough performance for virtual vehicle testing, and its global cloud infrastructure. Vector integrates its automotive-proven software platforms and software factory with the eDT platform to enable a seamless, software-first development workflow across the entire vehicle lifecycle.
Ravi Subramanian, Chief Product Management Officer at Synopsys, stated, 'Intelligent system development requires a fundamentally different approach—one that connects silicon designs to software behavior and full-system validation from the earliest stages of development.' The introduction of this platform provides a powerful solution to the complex challenges facing the automotive industry as software-defined vehicles become mainstream, and it is expected to drive faster, higher-quality innovation.
Tools Mentioned in This Article
AI Newsletter
Get the latest AI tools and news delivered daily