The race to dominate artificial intelligence has found its newest bottleneck, and it isn’t silicon — it’s electricity. Nvidia’s planned investment of up to $3 billion in Lancium, a Blackstone-backed Texas power developer, signals a strategic pivot that extends far beyond chip design. The initial $2 billion tranche would secure roughly 20 percent of the company, with an additional $1 billion contingent on Lancium meeting specific grid-connection requirements — a move that could lift Nvidia’s stake to around 30 percent. Reuters values Lancium at approximately $10 billion.
Lancium already powers the Stargate campus in Abilene, the joint venture of SoftBank, OpenAI, and Oracle that carries a headline investment figure of $500 billion. The developer has locked in four gigawatts of capacity, with another 15 gigawatts in its pipeline, and is reportedly weighing an initial public offering in 2027. The logic behind the deal is straightforward: whoever secures power capacity early gains a decisive edge as energy becomes the true constraint on AI infrastructure expansion. The investment follows Nvidia’s recent $5 billion injection into Ilya Sutskever’s Safe Superintelligence startup, which gained access to Vera Rubin systems and a tenfold increase in compute capacity at a $32 billion valuation.
Memory Shortage Forces Design Compromises
While Nvidia shores up its energy supply chain, reports have emerged of technical concessions on the upcoming Rubin Ultra generation. The Information reported Thursday that Nvidia is considering a significant reduction in memory configuration. Original plans called for up to one terabyte of HBM4E per GPU across 16 memory stacks, but current test samples have dropped to between 192 and 256 gigabytes, with some configurations reverting to the older HBM4 standard. TrendForce confirmed on August 4 that four different configurations are under evaluation, projecting a memory shortage that could persist through 2027.
The shift carries implications beyond Nvidia’s own margins. Fewer memory stacks translate to higher manufacturing yields for suppliers — moving from 16 to 12 stacks would boost HBM output by roughly one-third, according to industry estimates. The scarcity simultaneously strengthens the negotiating position of SK Hynix and Samsung, both of whom are pouring billions into new fabrication capacity, including SK Hynix’s Yongin Y2 and Cheongju M17 facilities.
Regulatory Scrutiny Intensifies
The expansion comes amid heightened government oversight. Bloomberg reported Friday that the U.S. Commerce Department is investigating how Chinese AI firms might be accessing Nvidia chips through overseas data centers. The operational impact, however, has yet to materialize. First-quarter revenue climbed 85.2 percent to $81.6 billion, with the data center segment surging 92 percent to $75.2 billion. Nvidia has guided toward roughly $91 billion for the current quarter — a figure that excludes China entirely.
Should investors sell immediately? Or is it worth buying Nvidia?
Institutional investors continue to accumulate positions. Clough Capital Partners increased its holdings by 14.6 percent in the first quarter, while the analyst consensus stands at 48 buy ratings with an average price target of $304.26. The stock closed Friday at €193.68, up 2.03 percent on the day, bringing the weekly gain to 11.23 percent — reportedly the largest weekly increase in the company’s history, adding roughly $562 billion in market capitalization. Nvidia now trades at €4,588.78 billion, sitting 4.36 percent below its May 14 record high of €202.50.
The SpaceX Factor
The week’s momentum drew additional fuel from an unexpected corner: Elon Musk. SpaceX announced it would exclusively adopt Nvidia’s Vera Rubin architecture for both terrestrial and orbital data centers. The partnership materializes in “Starmind AI1,” a satellite constellation designed to process AI workloads in orbit, with Vera CPUs and Rubin GPUs forming the computational backbone. The endorsement carries symbolic weight in a market where major customers like Amazon and Google have invested heavily in proprietary chip development. SpaceX’s commitment suggests that for the most demanding applications, Nvidia’s architecture remains without serious competition.
Cloud hyperscalers are reinforcing the demand picture. Alphabet has penciled in capital expenditures between $195 billion and $205 billion for 2026, while Amazon targets $220 billion — much of it destined for the infrastructure Nvidia supplies. The company also unveiled “Alpamayo 2 Super” on August 4, a model designed for robotaxis that reportedly outperformed both Google’s Gemini 2.5 Pro and GPT-4o in key benchmarks, underscoring Nvidia’s push into software alongside hardware.
The analyst consensus price target of €261.99 implies upside of 35.3 percent from Friday’s close. The relative strength index sits at 63.5 — approaching overbought territory without yet crossing it. The next test arrives August 26, when Nvidia reports quarterly earnings. The market will then judge whether the architectural dominance that powered this remarkable week translates into numbers that justify the optimism.
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