Nvidia’s expanded partnership with SK Hynix has given investors a reason to look for a breakout, although the agreement has not yet produced a measurable market reaction.
NVDA closed Friday at $206.84, down 0.92%, before details of the SK Group initiative were absorbed.
Nvidia already dominates AI accelerators, but its processors cannot be delivered as complete systems without enough high-bandwidth memory.
By securing and jointly developing HBM with SK Hynix, Nvidia is addressing a component that could increasingly determine how many AI factories it can build and ship.
SK Hynix deal targets Nvidia’s biggest supply constraint
Nvidia and SK Hynix agreed to establish a long-term partnership covering supplies, joint development and optimisation of next-generation AI memory, including HBM.
The arrangement is designed to align memory technology with Nvidia’s computing platforms.
That matters because memory is becoming one of the tightest constraints in the AI supply chain.
Morgan Stanley analyst Joseph Moore described the market as unlike a conventional semiconductor cycle, arguing that memory was becoming “increasingly THE bottleneck” for AI and agentic-computing systems.
Moore also identified Nvidia and Broadcom as among the strongest-value computing names.
His argument supports the investment case behind the SK Hynix agreement: if Nvidia secures more advanced memory while demand remains above supply, it could ship more complete systems and reduce a major execution risk.
The deal does not eliminate shortages immediately.
HBM capacity remains limited, qualification requirements are demanding and Nvidia, hyperscalers and rival accelerator developers are competing for the same advanced supply.
Vera Rubin gains a customer as well as a supplier
The partnership also links Nvidia to a potentially important customer.
SK Telecom plans to develop an AI factory of up to 2 gigawatts using Nvidia’s DSX architecture and Vera Rubin accelerated-computing systems powered by SK Hynix HBM4.
The first facility is planned to begin operating in 2027.
That creates a strategic loop as SK Hynix supplies and co-develops the memory, Nvidia provides the computing systems, networking, software and data-centre architecture, and SK Telecom becomes an infrastructure customer serving South Korea and the wider Asia-Pacific region.
The deployment could become a valuable reference site for Vera Rubin as Nvidia faces competition from hyperscalers’ custom processors and specialist AI-chip companies.
It also reinforces Nvidia’s shift from selling individual GPUs towards supplying complete AI factories.
However, the companies signed letters of intent for a programme described as exceeding $500 billion.
They did not disclose Nvidia’s expected revenue, system volumes, memory prices or binding purchase commitments.
Also read: Why are Nvidia-backed CoreWeave, Nebius, and IREN stocks plunging?
A breakout still depends on Rubin execution
Execution remains the central risk. KeyBanc analyst John Vinh said the Vera Rubin ramp appeared slightly delayed because of thermal-lid issues and SK Hynix’s HBM4 qualification.
He nevertheless viewed the financial risk as manageable because additional Blackwell shipments could offset slower Rubin deliveries.
Vinh retained an Outperform rating and raised his Nvidia price target to $330 from $310.
His view captures the stock’s tension: the partnership addresses the correct bottleneck, but Nvidia must still qualify HBM4, solve system-level challenges and scale Rubin on schedule.
Investors must also see continued capital spending from Microsoft, Amazon, Alphabet and Meta.
Barron’s recently argued that renewed Big Tech spending commitments were needed to drive sustained gains above $200.
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