The newest disclosure extends a pattern rather than breaking it. Yonhap, citing South Korean presidential policy chief Kim Yong-beom, reported that participants at a July 24 summit in San Francisco hosted by President Lee Jae Myung agreed to pursue semiconductor and AI infrastructure cooperation projects worth a combined $950 billion. The largest disclosed component is a long-term arrangement under which SK Group would supply $750 billion in high-performance semiconductors to global technology companies including Nvidia; the other named component is a Samsung Electronics memorandum of understanding with Broadcom covering memory, foundry and advanced packaging that Samsung says the companies estimate at more than $200 billion over five years through 2030. Yonhap also reported planned joint investment in large AI data centers with a combined capacity of 5 gigawatts and 2 million GPUs, though public details do not establish how much of that infrastructure sits inside the $750 billion figure or when each component would become operational. That is the same July 24 date on which SK Group and NVIDIA signed letters of intent for a $500-billion-plus relationship, under which SK Telecom plans a Vera Rubin DSX AI factory with capacity of up to 2 gigawatts using SK hynix HBM4 and the first AI factory is planned to come online in 2027, and a day later NAVER, NVIDIA and Brookfield announced a financing plan to expand the GAK Sejong data center from 55 megawatts to 200 megawatts by 2028, with Brookfield's up-to-$9 billion contribution resting on a nonbinding term sheet and NVIDIA's planned $1 billion subject to customary closing conditions and to NAVER securing at least $9 billion of committed financing separately. The same supplier-financed logic runs down the chain: NVIDIA's $1.5 billion multi-year agreement with Amkor announced July 23 includes an NVIDIA prepayment to support U.S. packaging capacity, and its July 27 partnership with Safe Superintelligence pairs Vera Rubin access with an investment whose terms the companies did not disclose, though Reuters reported a $5 billion equity investment citing a person briefed on the deal. Read all of it as intent expressed through letters of intent, term sheets and MOUs, not as booked capacity; SK Group appears in both the Seoul tally and its own agreement with NVIDIA, and none of these announcements publishes a project-by-project capital schedule.
Underneath the capital, the shipping picture is more measurable and more mixed. NVIDIA said on July 21 that Vera Rubin NVL72 production is ramping across more than 350 factory sites in 30 countries, with racks running at CoreWeave, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure, while Wccftech, attributing the statement through The Information, reported hardware engineering senior vice president Andrew Bell saying about a dozen partners could produce up to 1,000 Vera racks per day, which describes potential capacity rather than completed output. Spectrum-6, which NVIDIA describes as a 102.4-terabit-per-second component of the Vera Rubin platform with twice the previous generation's capacity, is beginning to arrive in large deployments with CoreWeave, Microsoft, Nebius, SpaceXAI and Tesla named as early adopters. Physical AI widened again through Cosmos 3 Edge, a 4-billion-parameter open world model built on Nemotron for RTX, DGX and Jetson hardware, and an open-source Medical Physics Simulation framework inside Isaac for Healthcare. The counterweight is a configuration change NVIDIA has not confirmed: TrendForce reported in June that NVIDIA decided to halve SOCAMM capacity on Vera Rubin Superchip modules, and a July 26 Wccftech report citing GF Securities put the revised module at 96GB instead of 192GB and about 28TB of Vera CPU memory per NVL72 rack, while NVIDIA's product page still lists 54TB per rack and labels its specifications preliminary and subject to change. Alongside the hardware, NVIDIA kept arguing an open-model policy line, signing the July 24 letter Open Weights and American AI Leadership as one of 25 organizations and launching the Open Secure AI Alliance on July 27 with more than 30 inaugural partners. Both are advocacy and contribution commitments rather than delivered platforms.