Core Viewpoint - The semiconductor manufacturing industry is transitioning from a focus on hardware performance to a greater emphasis on software architecture and underlying platform capabilities, driven by increasing demands from AI for logic, storage, and advanced packaging [1][2][3] Group 1: Changes in Semiconductor Manufacturing - Semiconductor manufacturing is evolving into a complex system that heavily relies on control software, data systems, and edge intelligence rather than just mechanical systems [2] - Advanced processes and equipment are pushing the requirements for control precision, response time, and system collaboration to new heights, exemplified by the demands of 3nm processes [2][3] - The industry is facing challenges in managing complexity due to increasing device models, customer demand differentiation, and the need for software functionality, necessitating a shift from project-based development to platform engineering [8] Group 2: Requirements for Underlying Platforms - Real-time performance and determinism are becoming baseline capabilities for critical processes in semiconductor manufacturing, requiring low-latency and high-reliability operations [4][5] - Software is transitioning from single control logic to multi-domain integration, necessitating mixed-criticality systems that can run real-time operating systems alongside general-purpose operating systems [5][6] - The development and delivery chain is being restructured to accommodate larger software scales, stricter compliance, and the need for unified development processes and lifecycle management [6] Group 3: Wind River's Role - Wind River is evolving beyond its traditional RTOS label, focusing on platform engineering that supports real-time control, edge analysis, and system isolation [7][9] - The company is enhancing its capabilities in software development and delivery, which is crucial for managing the complexity of heterogeneous chips and increasing product variants [8][10] - Wind River's collaboration with AI semiconductor company DEEPX aims to integrate AI capabilities into real-time and edge systems, highlighting the deepening coupling between chip capabilities, operating systems, virtualization, and industry applications [8][10] Group 4: Future of Semiconductor Equipment - Future semiconductor equipment will increasingly depend on a software foundation that supports deterministic control, edge intelligence, and long-term maintenance [9][11] - As semiconductor manufacturing evolves into a complex software system, the demand for platform capabilities that cover control, integration, development, and operations is rising [10][11]