Intel is going all-in on advanced chip packaging

· Source: AI - Ars Technica · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Intermediate, medium

Summary

Intel is significantly expanding its advanced chip packaging business, investing billions, including $500 million from the US CHIPS Act, into facilities like Fab 9 and Fab 11X in Rio Rancho, New Mexico, and expanding operations in Malaysia. This strategic shift aims to capitalize on the AI boom, which is driving demand for custom chips and advanced computing power. Advanced packaging involves combining multiple chiplets onto a single, custom chip, a process Intel sees as a key differentiator against competitors like TSMC. Intel's CFO, Dave Zinsner, projects packaging revenue to exceed $1 billion, with potential deals in the billions annually, and the company is reportedly in talks with major customers like Google and Amazon. This initiative is part of Intel's Foundry arm, which aims to achieve 40 percent gross margins on packaging, mirroring its product side.

Key takeaway

For CTOs and entrepreneurs evaluating custom chip fabrication, Intel's aggressive push into advanced packaging, particularly with EMIB-T technology, presents a compelling alternative to traditional foundries. You should assess Intel's flexible "enter and exit the highway" model for integrating their packaging services into your existing supply chain, especially if seeking power-efficient, space-saving solutions for AI-specific hardware. Monitor Intel Foundry's capital expenditure increases as an indicator of customer acquisition and operational scale.

Key insights

Advanced chip packaging is critical for AI-driven computing, offering a path for Intel to regain market share.

Principles

Method

Intel's advanced packaging utilizes EMIB and Foveros technologies, with EMIB-T rolling out this year, designed for more "surgical" and power-efficient chip integration compared to traditional methods.

In practice

Topics

Best for: CTO, Entrepreneur, AI Hardware Engineer, Director of AI/ML, Investor

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI - Ars Technica.