Qualcomm CEO meets Samsung, SK hynix on chips

Qualcomm CEO Cristiano Amon met executives at Samsung Electronics, SK hynix, and LG Electronics with talks centered on memory supply, chip manufacturing, and partnerships in AI.

Qualcomm has faced tight LPDDR memory supply as demand for AI server memory rises, making Samsung and SK hynix key suppliers.

Talks with Samsung likely included 2-nanometer foundry production for a future Snapdragon chip, while discussions with SK hynix and LG were expected to cover AI server memory, vehicle electronics, smart home devices, and robotics.

🔗 Source: The Korea Times

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Implications, context, and why it matters.

The ceo’s meetings focus on product ties

Talks with LG build on existing work, including LG’s AI Cabin Platform for vehicles, which runs on Qualcomm Technologies Inc.’s Snapdragon Cockpit Elite platform 1.
That follows a project unveiled at CES 2025, the consumer technology trade show, for a platform that combines infotainment with driver assistance using Qualcomm Technologies’ Snapdragon Ride Flex system-on-chip, a chip built to handle several automotive tasks in one package 2.
The robotics discussions fit Qualcomm’s robotics full-stack architecture and its Dragonwing IQ10 Series processor, which the company aims at industrial autonomous mobile robots and full-size humanoid robots 3.
The 2-nanometer foundry talks also fit Samsung making a future Snapdragon chip on its 2nm (SF2) process. The deal has been described as covering Snapdragon 8 Gen 5 production, not only an unspecified future chip or a rumor 4.

Qualcomm is leaning harder into on-device AI

These partnerships suggest Qualcomm wants more AI work done on the device instead of sending as much to remote servers.
That approach is often tied to better privacy and quicker responses in products like cars and robots.
Qualcomm seems to back that push with product-specific platforms and software stacks, rather than only general-purpose chips.
This would place Qualcomm as a supplier for more capable edge AI systems across areas including automotive and robotics, even while much AI work still runs in cloud and data-center infrastructure.