Chat with us, powered by LiveChat

AI training and high-performance computing have extremely high demands on data processing speed, energy efficiency, and memory bandwidth. Therefore, chips such as GPU, TPU, and NPU commonly adopt high-density advanced packaging, including HBM stacking, Chiplet modular integration, TSV through-silicon vias interconnection, and RDL redistribution architectures.
This type of packaging has characteristics of high frequency, high power, and high thermal load. During system operation, it is accompanied by risks such as uneven thermal delay, package warpage, interface fatigue, and shortened bump joint lifespan. If the internal structure, thermal behavior, and material interaction of the packaging cannot be grasped in a timely manner, reliability issues are likely to arise during mass production or long-term operation.

MA-tek's core capabilities in the field of AI and high-performance computing are:
Can simultaneously establish the true cross-section of the packaging structure, stress/thermal behavior models, and corresponding failure mechanisms.
Through high-resolution structural reconstruction, packaging thermal behavior analysis, interface material tracking, and lifetime verification, we assist customers in gaining an understanding of packaging stability under extreme conditions during the R&D phase, reducing yield loss in later stages, and supporting products in high power and long-duration computing scenarios.

Service Direction Focus Points Applicable scenarios MA-tek assistance
Multi-chiplet packaging structure reconstruction TSV, Micro bump, RDL, HBM stacking quality Advanced packaging introduction / Stacking consistency verification 3DX-Ray, C-SAM, FIB-TEM, hierarchical structure reconstruction
Packaging thermal behavior and heat dissipation design assessment thermal resistance distribution, thermal diffusion bottleneck, TIM performance Long-term computing, server/AI training GPU high-power scenarios IR thermal imaging, TIM thickness analysis, FEM thermal simulation, thermal degradation assessment
Reliability analysis of high-frequency and high-speed signal paths Conductive interface, interconnection lifespan, stress concentration Long-term computing, server/AI training GPU high-power scenarios FIB-TEM, XPS, solder joint fatigue and stress model retrospective
Long-term lifespan and board-level verification of ultra-high power packaging Warping, packaging fatigue, solder joint lifespan degradation HPC / AI Server mass production and certification requirements FIB-TEM, XPS, solder joint fatigue and stress model retrospective
Common Issues
Q1. Why are defects inside advanced packaging difficult to detect with traditional X-ray?
A. High stacking density and small material contrast differences require higher resolution three-dimensional reconstruction.
Q2. How to identify thermal bottlenecks during high-power computing?
A. It is necessary to simultaneously measure the thermal distribution and analyze the thermal resistance paths of TIM and the internal packaging.
Q3. Why are Chiplet / HBM modules prone to open circuits or warping due to stress?
A. Heterogeneous materials and multi-layer stacking will form stress concentration during temperature cycling.
Q4. How is packaging lifespan evaluated in AI training environments?
A. It is necessary to simulate high-power computing loads and test board-level reliability models.
Q5. Can a small number of samples be used for packaging feasibility assessment during the R&D phase?
A. Yes, local cross-section and thermal behavior modeling can be conducted first, and then decide whether to expand the verification.
Sign Up
01.16
2026
This seminar is themed "Silicon Exploration of the Future: The Intelligence Quest of AI × Silicon Photonics," emphasizing how the integration of AI, high-speed computing, silicon photonics, and advanced packaging technology redefines computing efficiency. The concept of "Intelligence Quest" symbolizes the identification and analysis of the best opportunities for future technological development through these key technologies.
For more information: https://www.matek.com/zh-TW/Seminar/detail/all/20250327
wechat

Privacy Preference Center

We use cookies to allow our website to function properly, personalize content and advertisements, provide social media features, and analyze traffic. We also share information about your usage of our website with social media, advertising, and analytics partners.

View Privacy Policy

Manage Consent Settings

Necessary Cookies

Always Enabled

The operation of the website relies on these cookies, and you cannot disable them in the system. These cookies are usually set based on the actions you take (i.e., service requests), such as setting privacy preferences, logging in, or filling out forms. You can configure your browser to block or prompt you about these cookies, but this may result in certain website functionalities not working.