Motorcycle company extends technical partnership to further integrate and optimize research and development with Siemens Xcelerator , /PRNewswire/ -- Siemens Digital Industries Software has renewed its technical partnership agreement with Ducati Corse, ("Ducati") for the next two years and detailed how the Siemens Xcelerator platform has been instrumental in helping the company to achieve its mission of creating increasingly powerful, safe and sustainable motorcycles. Siemens Digital Industries Software has ...

Core Insights - Siemens and NVIDIA have expanded their partnership to accelerate industrial AI and digitalization, aiming to enable the factory of the future [1][10] - The collaboration focuses on integrating NVIDIA AI and accelerated computing with Siemens' technologies to enhance manufacturing efficiency and quality [2][3] Partnership Expansion - The partnership initially announced in 2022 aims to bring the industrial metaverse to life by connecting Siemens Xcelerator with NVIDIA Omniverse, optimizing performance and productivity [3] - The collaboration now includes generative AI, industrial AI, and robotics, enhancing the capabilities of both companies [3] Technological Integration - Siemens integrates NVIDIA technology into the Siemens Xcelerator platform, enhancing product lifecycle management with real-time ray-tracing capabilities [4] - HD Hyundai utilizes this technology to visualize next-generation vessels, significantly reducing design iteration time from days to hours [5] Performance Enhancements - The combination of NVIDIA Blackwell GPUs with Siemens' Simcenter Star-CCM+ software has achieved a 30x speedup in transient aerodynamics simulations for BMW Group [6] - New Siemens Industrial PCs certified for NVIDIA GPUs enable complex automation tasks, delivering a 25x acceleration in AI execution [7] AI Implementation - Advanced AI agents will operate across the Siemens Industrial Copilot portfolio, executing processes autonomously and optimizing shopfloor operations [8] - A new class of operational technology cybersecurity is being developed through collaboration, integrating NVIDIA BlueField DPUs for enhanced security [9] Future Outlook - The expanded partnership is set to drive innovation in industrial manufacturing, enabling rapid deployment of AI solutions on the shopfloor [10]

Investment Rating - The report does not explicitly state an investment rating for the semiconductor industry Core Insights - The semiconductor industry is experiencing rapid changes, necessitating adjustments and transformations to remain competitive [3] - Quality management methods are essential in semiconductor lifecycle management to avoid costly quality-related issues later in the product lifecycle [6] - Digital solutions are crucial for connecting silos and improving core processes amidst changing market demands and resource constraints [7] - A closed-loop quality strategy is beneficial for addressing current semiconductor challenges [7] - Early-stage quality management in the design process is vital for ensuring innovative designs meet specifications [8] - Continuous improvement in the overall value quality chain can be achieved through closed-loop problem-solving solutions [8] - Semiconductor manufacturers can minimize risks and turn complexity into competitive advantages by utilizing digital quality management methods [9] - Collaboration platforms that integrate Quality Management Systems (QMS) and Product Lifecycle Management (PLM) solutions can help achieve high initial quality levels in semiconductor products [11] Summary by Sections Semiconductor Industry Trends - The need for manufacturers to rely on qualified parts and suppliers has increased due to periodic chip shortages and the need to avoid market saturation [6] - Rapid product advancements from development to production are essential for creating new iterations and shortening time-to-market [6] Quality Management Strategies - Managing quality early in the design phase is crucial for meeting functional and quality specifications [8] - Utilizing commercial off-the-shelf (COTS) semiconductor quality planning and risk mitigation controls can help manage complex product introductions [8] - Effective quality execution and improvement strategies are necessary to ensure products are manufactured as planned and to quickly resolve supply chain issues [8] Digital Solutions and Collaboration - The Teamcenter Quality platform is a key element of Siemens Xcelerator, supporting closed-loop quality methods in semiconductor lifecycle management [12] - Optimized paperless processes can enhance transparency throughout the product lifecycle, contributing to sustainable and regulatory-compliant products [12]