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Intel's EMIB and Foveros Advanced Packaging Roadmaps Evolve for Future CPUs and AI Accelerators

🔄 Updated 24d ago
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Key points

  • Intel's EMIB and Foveros are key to its multi-chiplet strategy.
  • Technologies are evolving to be more sophisticated and integrated.
  • Future goal is 12-reticle SiPs using both EMIB and Foveros Direct 3D.
  • EMIB started in 2017, now used for data center and AI accelerators.

Evolution of Advanced Packaging

Intel's high-end client and data center CPUs rely on its Embedded Multi-die Interconnect Bridge (EMIB) and Foveros technologies. These advanced packaging methods have been central to CPU and GPU designs since Intel's multi-chiplet roadmap was outlined in 2020.

The company adopted a multi-chiplet strategy to deliver performance and feature enhancements cost-efficiently and predictably, especially after challenges with its 10nm process technology. Most recent Intel client and data center CPUs utilize multiple chiplets with EMIB and Foveros.

Integrated Packaging Approach

Intel's advanced packaging roadmap shows EMIB and Foveros becoming more sophisticated to meet demands, while also simplifying for cost-sensitive products. The two technologies are increasingly complementary, acting as key building blocks for future products.

The ultimate goal is to create system-in-packages (SiPs) that are the size of 12 reticles, utilizing both EMIB and Foveros Direct 3D.

EMIB's Development

EMIB has significantly evolved since its high-volume manufacturing debut in 2017. Initially a method to connect adjacent chiplets without expensive silicon interposers, it is now a sophisticated packaging technology used in data center processors.

EMIB is also set to enable massive AI accelerators, which will be 12 times the size of a reticle and incorporate dozens of silicon dies.

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Reporting from

Intel's EMIB and Foveros advanced packaging technologies are becoming more sophisticated and integrated, moving towards system-in-packages (SiPs) the size of 12 reticles. This evolution supports Intel's multi-chiplet strategy for delivering performance and feature enhancements in CPUs and AI accelerators.