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Hardware-Software Co-Design In The AI Era

semiengineering.com 2026-09-15 Brian Bailey
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Hardware-Software Co-DesignAI in Chip DesignIntegrated Hardware and Software DevelopmentVirtual PrototypingContinuous IntegrationRISC-V ArchitectureChip Design Process OptimizationEDA ToolsSystem-Level DesignAI-Assisted DesignChip VerificationCloud-Based Hardware Development
News Summary
In the era of rapid AI advancement, hardware-software co-design is emerging as a critical trend in the semiconductor industry. While AI has already demonstrated significant potential in software devel... Read original →
Industry Analysis
AI-powered hardware-software co-design is fundamentally reshaping chip development paradigms, intensifying demands on EDA toolchains and manufacturing processes. Companies like Synopsys and Siemens EDA must accelerate support for SystemVerilog and RTL integration, while TSMC and GlobalFoundries face rising verification complexity at 3nm EUV nodes. The expansion of RISC-V, particularly AWS’s cloud-native design using FPGA-based RISC-V IPs, is disrupting traditional IP licensing models, pressuring legacy players like MIPS to reposition. From a compliance standpoint, geopolitical tensions, especially around Taiwan, China and U.S. export controls, are heightening supply chain risks, compelling firms to diversify and localize strategies. In competitive dynamics, NVIDIA may leverage its AI chip dominance to push proprietary architecture integration, while GlobalFoundries could strengthen its position through RISC-V ecosystem partnerships. Short-term limitations persist in virtual prototyping and continuous integration due to model accuracy and human resource constraints. However, this trend will ultimately force the entire semiconductor ecosystem toward more agile and intelligent development models, establishing new competitive moats.
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