Reuters · 17 Sep, 13:36 · Artificial Intelligence briefing

GlobalFoundries, Marvell expand chip capacity deal for AI data center connectivity

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The briefing

The story
in brief.

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GlobalFoundries and Marvell Technology have expanded their collaboration to increase semiconductor manufacturing capacity, specifically targeting components essential for artificial intelligence data centre connectivity. This strategic partnership aims to address the growing global demand for high-performance chips that facilitate rapid data transfer within AI infrastructure. The deal underscores the critical role of advanced packaging and interconnect technologies in supporting next-generation computing systems. By scaling production capabilities, both companies seek to mitigate supply constraints and accelerate the deployment of efficient AI solutions across enterprise environments.

Employer demand for Medical Physics skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)

Your move

What this means
for your career.

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This expansion signals a sustained demand for hardware expertise in the AI ecosystem. You should prioritise skills in semiconductor engineering, high-speed interconnect design, and data centre infrastructure management. Professionals in supply chain roles must anticipate shifts in component sourcing and logistics for specialised chips. If you work in IT infrastructure, focus on optimising network connectivity for AI workloads. Upskill in cloud computing and sustainable computing to align with industry trends. Engage with technical communities to understand emerging packaging technologies. Consider certifications in engineering or project management to lead complex hardware integration projects. Staying informed about semiconductor supply dynamics will position you advantageously in a market increasingly driven by AI hardware constraints.

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Indicative salary uplift in the fields matched to this story
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