Multi-die Testing In The Field Must Build On Established Test Methodologies
Having a device that works at time zero is no longer a guarantee of reliability over its lifetime. The post Multi-die Testing In The Field Must Build On Established Test Methodologies appeared first on Semiconductor Engineering .
The increasing complexity of multi-die architectures, especially for AI and high-performance computing, necessitates robust in-field testing as 'time-zero' reliability is no longer sufficient due to wear-out mechanisms and environmental factors.
Ensuring long-term reliability of advanced semiconductor devices, particularly multi-die systems, is critical for mission-critical applications and sustained performance, impacting trust and investment in new compute paradigms.
The focus of semiconductor testing extends beyond manufacturing to continuous in-field monitoring and diagnosis, requiring a fundamental shift in design for testability (DFT) and test methodologies for longevity.
- · Test and Measurement companies
- · Advanced Packaging providers
- · Semiconductor IP vendors (DFT)
- · Cloud infrastructure providers
- · Companies relying on traditional test methods
- · Manufacturers with poor in-field diagnostics
- · Consumers of unreliable AI hardware
Increased investment in on-chip monitoring and diagnostic IP becomes standard for multi-die systems.
New business models emerge for predictive maintenance and reliability-as-a-service for advanced compute hardware.
The lifespan and environmental impact of electronic devices improve due to better reliability and targeted maintenance, reducing e-waste.
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