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

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

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GlobalFoundries and Marvell have expanded their long-term partnership with a multi-year agreement to significantly increase semiconductor manufacturing capacity for artificial intelligence data center connectivity. Announced on September 17, 2026, the collaboration focuses on GlobalFoundries advanced Silicon Germanium technology at its Burlington, Vermont, facility to support Marvell's development of next-generation optical solutions. These solutions include pluggable optical modules, Near-Package Optics, and Co-Packaged Optics designed to handle massive workloads. By leveraging high-performance 200-Gbps single-lane optical interconnects, the expanded manufacturing capacity aims to alleviate critical data transmission bottlenecks as modern AI data centers scale up operations. Executives from both companies emphasized that scalable, energy-efficient optical connectivity is essential for distributed AI compute clusters. The partnership builds on more than a decade of joint engineering work between the two firms, reinforcing domestic specialty semiconductor production capacity under commercial frameworks.

Published 2026-09-17 13:20:00 UTC · Published by JQJO

Prepared by Ayesha A. · AI assisted

More context

Timeline

On September 17, 2026, GlobalFoundries and Marvell announced expanded manufacturing capacity.
On September 17, 2026, GlobalFoundries shares rose nearly 6 percent in premarket trading.
On September 17, 2026, Marvell shares gained 4.5 percent following the partnership announcement.
On September 17, 2026, executives highlighted demand for 200-Gbps single-lane optical interconnects.
On September 17, 2026, industry analysts noted benefits for domestic Burlington facility output.
On coming months, production scaling will support next-generation pluggable optical module shipments.
In coming years, deployment of Co-Packaged Optics will expand across hyperscale data centers.
On January 1 2027 By 2027, enhanced Silicon Germanium output aims to relieve major data transmission bottlenecks.
Through ongoing collaboration, both firms plan further roadmap expansions for higher speed generations.
Long-term industry adoption will depend on sustained hyperscale cloud provider infrastructure spending trends.

Why it matters

Immediate US impact: Boosts domestic specialty chip manufacturing and supplier stock values. Possible long-term US impact: Alleviates AI infrastructure bottlenecks and strengthens domestic tech supply chains. Most affected groups: Semiconductor investors, cloud service providers, and hardware engineering workers. Reader priority: Focus on official corporate investor releases and verified financial market analyses.

Coverage notes

Left: Evidence was insufficient. Center: Emphasizes market growth, supply chain scaling, and technological partnership benefits. Right: Evidence was insufficient.