Why NVIDIA Is Partnering With Two Giant Chip Makers — and What It Means for AI
The Deal: NVIDIA Locks In Memory Supply With Two Partners
NVIDIA, the dominant maker of AI chips, just announced major partnerships with SK Hynix and Samsung — the two Korean companies that control most of the world's supply of high-bandwidth memory (HBM). HBM is the ultra-fast memory that sits right next to NVIDIA's processors to feed them data as quickly as possible.
These aren't simple vendor agreements where one company buys from another. They're much deeper: both Samsung and SK Hynix are now working directly with NVIDIA's engineers to design and build memory specifically suited to NVIDIA's next-generation systems. Source: NVIDIA Newsroom | Source: Samsung Newsroom
SK Hynix: Moving From Supplier to Designer
SK Hynix was already NVIDIA's primary memory supplier. Now the partnership goes further. Instead of NVIDIA telling SK Hynix what it wants and waiting for a chip to arrive, their engineers are sitting at the same table from the start.
Think of it this way: the old way was like ordering a suit after a factory was built. The new way is like hiring a tailor who's in the room when you're designing the suit. When memory speed and response time are planned together with the processor design, the result is more tightly fitted than gluing off-the-shelf memory next to an already-finished chip.
SK Hynix is also using NVIDIA's software tools — specifically AI-powered simulation software — to speed up its own chip design process. Normally, chip designers spend years testing and retesting how their designs will work before they manufacture anything. Running those tests on NVIDIA processors compresses those timelines from years to months, and saves hundreds of millions of dollars in trial-and-error. Source: NVIDIA Newsroom
SK Hynix started mass production of its current-generation memory in March 2024, which already made it the lead supplier. Source: Reuters This new partnership formalizes a relationship that's already moving real money.
Samsung: 50,000 Processors on the Factory Floor
Samsung's piece of the deal is different. Rather than co-designing memory, Samsung is using NVIDIA technology to transform how it actually builds chips.
Samsung plans to deploy 50,000 NVIDIA processors across its manufacturing facilities — a scale usually reserved for massive data centers, not chip factories. The company will use NVIDIA's tools to create digital twins of its factory floors: virtual computer models that can simulate in real time what happens on the actual production lines, from equipment movements to which batches of chips come out best. Source: Samsung Newsroom
Samsung is separately developing its own high-speed memory technology with computing power built directly into it — a way to reduce how much data needs to move around, which saves power in massive AI systems. The company also plans to start producing its own next-generation memory by February 2026, targeting NVIDIA as a customer. Source: Samsung Semiconductor | Source: Reuters
Why Do Both Deals Matter?
The real story is why NVIDIA announced both partnerships at the same time. NVIDIA's demand for memory is growing fast — every new generation of its processors needs more and faster memory. Relying on just one supplier for something that critical would be risky, especially when both companies are in the same country and region of the world.
This follows a pattern we've seen before. In the 2010s, Apple spread its orders for memory chips across three suppliers — Samsung, SK Hynix, and Micron — instead of relying on one. That gave Apple both leverage to negotiate better prices and insurance against supply shortages when problems hit. NVIDIA is building something similar, but with a twist: it's not just spreading orders around. It's embedding its own technology and tools into both partners' operations. That creates a lock-in on both sides. The longer SK Hynix and Samsung use NVIDIA's software, the more skilled they become at using it, and the harder it is for anyone else to replace it. At the same time, NVIDIA gains deep visibility into how and when these suppliers will be ready with new products.
The Bigger Picture: Memory Is Becoming Smarter
These announcements signal a shift in how the industry thinks about memory in AI systems. For years, memory was simply a repository — a place to store and quickly deliver data. Now it's becoming active. Samsung's work on embedding computing power directly into memory stacks, and SK Hynix's tight collaboration with NVIDIA on platform design, both point toward memory that does some of the computational work itself.
When memory participates in calculation rather than passively storing data, it cuts the energy cost of moving information back and forth. In giant AI data centers that consume hundreds of megawatts of electricity, even small improvements in how efficiently data moves compound across tens of thousands of processors.
What This Means for Competition
For Micron, the only major non-Korean company making this type of memory, the depth of these partnerships raises the bar. Simply shipping a compliant product may no longer be enough if SK Hynix and Samsung are designing from the ground up with NVIDIA's architects.
For manufacturing more broadly, Samsung's decision to deploy 50,000 NVIDIA processors for factory intelligence signals that AI-driven process control — using software to optimize how chips are made — is becoming a competitive advantage, not just a cost-saving measure. If Samsung can show customers it produces chips faster or with fewer defects thanks to NVIDIA's tools, that changes how companies choose their manufacturing partners.
The collective message here is clear: NVIDIA is moving beyond simply telling suppliers what it wants. It is now co-building the tools those suppliers use to design and manufacture. That's a significant shift in how the world's most powerful chip market operates.
