Nvidia and SK Group announce $500 billion partnership to build AI infrastructure and chip ecosystem in Asia

Nvidia has signed one of the largest technology partnership agreements in recent memory. On July 25, 2026, the chipmaker and South Korea's SK Group inked letters of intent for a collaboration valued at over $500 billion, covering AI data centers, memory chip supply, and next-generation computing infrastructure.

The partnership rests on three main pillars. First, SK Telecom will build a 2-gigawatt AI data center powered by Nvidia's Vera Rubin platform, with the first phase targeted for operation in 2027. Second, Nvidia and SK hynix will deepen a long-term collaboration to co-develop HBM4, the next generation of high-bandwidth memory that AI training workloads depend on. Third, the broader SK Group relationship is designed to address memory supply shortages that have quietly become one of the biggest bottlenecks in scaling AI systems globally.

The Nvidia-SK hynix technology partnership was first announced on June 7, 2026, focused on aligning memory roadmaps with Nvidia's AI hardware plans. The July deal formalizes that relationship into something far larger and more capital-intensive.

In May 2026, Nvidia signed a separate agreement with IREN to deploy up to 5 gigawatts of Nvidia DSX infrastructure globally.

SK hynix is one of only a handful of companies on earth capable of producing high-bandwidth memory at scale, alongside Samsung and Micron. By locking in a long-term co-development agreement with SK hynix, Nvidia is effectively securing insurance against future supply constraints.

The 2-gigawatt data center scale deserves particular attention. Most hyperscale data centers operate in the hundreds of megawatts range. A 2-gigawatt facility would be among the largest AI compute installations anywhere in the world, and it is being built exclusively around Nvidia's own hardware platform.

Decentralized AI networks such as Bittensor (TAO), Render (RNDR), and Fetch.ai (FET) may see renewed investor interest following this announcement, as they position themselves as alternatives to or complements of centralized AI infrastructure. However, investors should weigh several risks carefully. AI token valuations remain highly sensitive to broader cryptocurrency market conditions, and sentiment shifts can quickly reverse AI-narrative gains. The tokens themselves represent early-stage networks rather than mature infrastructure businesses.