Chip design complexity drives Synopsys co-design approach in physical AI - SiliconANGLE

The rapid evolution of intelligent software-defined systems is pushing chip design into a new era of physical AI, where complexity outpaces traditional engineering methods. Synopsys' senior vice presi... Read original →

The rapid development of intelligent software-defined systems is propelling the semiconductor industry into a new era characterized by physical AI. This shift necessitates more sophisticated co-design capabilities from EDA tools to tackle unprecedented complexity, alongside an increased adoption of multi-agent workflows for enhanced human-machine collaboration. Synopsys' acquisition of Ansys strengthens its position in thermal stress simulation, enabling developers to test software on unfabricated hardware, significantly reducing costs and timelines. However, these technological advancements pose challenges to existing standards and compliance, particularly in data privacy, potentially raising operational costs. Competitors such as AMD and Intel are likely to bolster their positions in AI-assisted design or seek partnerships to bridge the gap. Over the next 12 to 24 months, we expect an acceleration in innovation, driven by startups leveraging cloud-based resources, while quantum computing emerges as a key area of investment, though practical applications remain distant.