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With HBM in Focus, SK Engages Nvidia, Microsoft and Google on AI Technique

NextTechBy NextTechFebruary 16, 2026No Comments7 Mins Read
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With HBM in Focus, SK Engages Nvidia, Microsoft and Google on AI Technique
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Collection of conferences within the US highlights Korea’s push for a stronger function within the international AI ecosystem



Chey Tae-won, chairman of SK Group, not too long ago met with senior leaders of main U.S. know-how corporations — together with Nvidia, Google and Microsoft — to debate broader cooperation round synthetic intelligence. The conferences, confirmed by SK hynix, befell over a number of days in Silicon Valley and Seattle earlier this month, and sign a concerted effort by SK to deepen its function within the AI know-how ecosystem. 

On the core of those talks was excessive bandwidth reminiscence (HBM), a kind of DRAM important for high-performance AI processing. HBM is a key element in AI accelerators and data-center architectures, and SK hynix is among the many world’s main suppliers.

Picture credit: SK Group

In an announcement, SK hynix described its collaboration with Nvidia as having grown from a provide relationship right into a strategic partnership.

“The partnership between the 2 corporations, which started within the early days of HBM growth when the market was nonetheless unsure, has advanced past a easy supplier-buyer relationship right into a strategic partnership that prioritizes collaboration from the product starting stage. Wanting forward, SK hynix plans to additional develop the deep partnership it has constructed with NVIDIA within the AI semiconductor discipline to embody the broader AI infrastructure panorama.”

It has proven how reminiscence suppliers try to maneuver up the AI worth chain — from promoting discrete elements to engaged on built-in options that tie reminiscence, chips and infrastructure collectively.

Talks Give attention to Knowledge Facilities and Subsequent-Technology HBM

Chey additionally held detailed discussions with Microsoft CEO Satya Nadella in Seattle. In line with SK’s press supplies, the main focus was not simply on HBM provide however on constructing stronger ties throughout AI knowledge facilities, cloud options and future AI accelerators. 

SK’s engagement with Microsoft prolonged into discussions about Microsoft’s in-house AI {hardware} initiatives, comparable to its MAIA 200 AI accelerator. Whereas particular agreements weren’t introduced, either side underscored the strategic advantage of nearer cooperation. 

In San Jose, Chey met Meta CEO Mark Zuckerberg to discover long-term reminiscence provide commitments and technical alignment for next-generation AI infrastructure. SK hynix stated the dialog lined future reminiscence merchandise, together with HBM4 and HBM4E, and the best way to optimize them for Meta’s evolving knowledge middle architectures. 

Assembly with Google CEO Sundar Pichai, Chey mentioned the significance of stabilising long-term reminiscence provide as a basis for international AI knowledge middle growth. Each executives acknowledged that securing constant entry to superior reminiscence chips — which can’t be shortly ramped up in manufacturing — is without doubt one of the key bottlenecks for AI infrastructure progress worldwide. 

This level is more and more related as different main reminiscence producers — comparable to Samsung Electronics and Micron Expertise — start transport next-generation HBM4 reminiscence chips, intensifying competitors within the AI reminiscence market.

Why Every Partnership Speak Issues

Chey Tae-won’s collection of conferences with high U.S. know-how executives was not a routine tour — every dialog served a selected strategic goal throughout the quickly altering AI {hardware} and infrastructure panorama.

🔹 Nvidia — Securing Deep Reminiscence Integration

Chey’s assembly with Nvidia CEO Jensen Huang centered on increasing cooperation round excessive bandwidth reminiscence (HBM). HBM stays a core bottleneck in AI system efficiency, supplying high-speed knowledge entry for AI accelerators. SK hynix’s skill to align next-generation HBM growth with Nvidia’s roadmap helps make sure that SK’s reminiscence merchandise stay important to the world’s main AI processors. The connection has already matured past vendor-buyer dynamics to incorporate planning on the product degree, reinforcing SK’s function within the broader AI provide chain.

🔹 Microsoft — Shifting Into AI Infrastructure and Cloud Companies

The talks with Microsoft CEO Satya Nadella went past reminiscence provide to debate AI knowledge middle development, operations, and cloud-based options. This displays SK Group’s want to place itself not simply as a element provider, however as a companion in constructing and working AI infrastructure — a phase the place main cloud suppliers are investing closely as they scale their AI choices. Cooperation right here may translate into nearer integration of SK applied sciences with Microsoft’s cloud and enterprise providers.

🔹 Meta — Aligning Reminiscence With Customized AI Platforms

In San Jose, Chey’s assembly with Meta CEO Mark Zuckerberg emphasised long-term HBM provide and optimization for Meta’s bespoke AI accelerator structure, the Meta Coaching and Inference Accelerator (MTIA). Such technical alignment can guarantee SK’s future reminiscence merchandise — together with HBM4 and HBM4E — are designed to work effectively with Meta’s inner {hardware}, strengthening SK’s foothold with a serious hyperscaler and increasing cooperation past conventional DRAM and SSD provide.

🔹 Google — Stability Amid Provide Constraints

The dialogue with Google CEO Sundar Pichai centered on securing long-term reminiscence chip provide and potential funding cooperation. With international demand for AI knowledge middle capability quickly rising and reminiscence manufacturing unable to scale immediately, stability of provide has change into a strategic precedence for hyperscalers like Google. Either side acknowledged that superior reminiscence procurement is a key constraint for increasing AI infrastructure, and deeper collaboration may assist mitigate these bottlenecks.

🔹 Broadcom — Early-Stage Design Collaboration

Though much less publicized, Chey’s assembly with Broadcom CEO Hock Tan is significant as a result of it touches on integrating SK’s reminiscence know-how into customized AI-dedicated chip architectures at early design levels. Shut cooperation with an organization centered on AI accelerators and networking options may help SK guarantee its reminiscence stacks are optimized alongside specialised computing logic — a step towards tighter horizontal integration in AI system design. 

What It Means for South Korea’s Tech Business 

Chey’s conferences with main US know-how companies carry broader significance past SK Group’s rapid enterprise pursuits. They replicate South Korea’s effort to protect its strategic function within the international semiconductor provide chain at a time when AI infrastructure has change into a central driver of chip demand. As AI accelerators develop extra highly effective, superior reminiscence — notably excessive bandwidth reminiscence (HBM) — has change into a important element that straight impacts system efficiency.

For SK hynix, deepening engagement with corporations comparable to Nvidia, Microsoft, Meta and Google shouldn’t be solely about securing buy orders. Additionally it is about guaranteeing its reminiscence know-how is built-in early into the design of next-generation AI chips and knowledge middle architectures. Early-stage collaboration can present larger visibility into future demand and scale back the danger of being sidelined as chipmakers discover various suppliers or new reminiscence applied sciences.

The timing can be essential. Competitors within the HBM market is intensifying, with rivals comparable to Samsung Electronics and Micron racing to produce superior reminiscence for AI accelerators. Lengthy-term provide agreements and technical alignment with hyperscalers may assist SK hynix defend market share and stabilize income in what’s turning into a cyclical however strategically delicate phase of the trade.

At a nationwide degree, these discussions spotlight how South Korea’s semiconductor sector is more and more tied to the trajectory of world AI growth. As america pushes to develop home AI infrastructure and safe provide chains, Korean reminiscence producers stay important companions. Whether or not SK hynix can translate these high-level conferences into sustained technological and industrial benefit will seemingly affect Korea’s broader place within the evolving AI {hardware} panorama.

 

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