• Nvidia (NasdaqGS:NVDA) has agreed to supply chips for SpaceX’s new Starmind orbital AI data centers, in an exclusive partnership announced in early August 2026.
• The Starmind program is described as the first large scale off planet AI compute deployment, aimed at running AI workloads in orbit.
• Nvidia is also committing multi billion dollar capital to AI infrastructure projects such as Firmus and Project Southgate in Asia Pacific.
• The company continues to invest in AI infrastructure firms including Firmus and Lancium, taking equity stakes tied to long term AI compute demand across several regions.

Consider widening your research to other companies building out AI infrastructure exposure through 55 AI infrastructure stocks

NVIDIA now sits at the center of many investors’ discussions around AI infrastructure exposure, reflected in a share price of $223.96 and very large multi year returns, including about 449.3% over three years and roughly 1,000% over five years. Those figures mean anyone looking at this news is likely weighing not just growth optionality but also how much future AI demand may already be reflected in the stock.

Nvidia’s AI infrastructure push, from Earth to orbit, and what it really says about the Narrative

The core Nvidia Narrative is that the company can stay at the center of AI infrastructure as customers standardize on its full stack and keep building ever larger AI factories. This set of exclusive partnerships and capital commitments speaks directly to whether that bet still holds.

"The company is capturing a growing share of the expanding value chain by deploying full stack AI infrastructure, deepening customer lock in, boosting recurring software revenues..."

On the bull side, SpaceX’s exclusive use of Nvidia chips for Starmind and equity deals with Firmus, Lancium, NAVER, SK Group and others line up cleanly with that full stack thesis. Nvidia is not just selling GPUs to hyperscalers like Microsoft or Amazon. It is wiring itself into AI factories, sovereign AI projects and now off planet compute, which fits the idea of a long AI infrastructure supercycle with Nvidia platforms as default.

The Zayo fiber buildout, DDN storage work and agentic AI partnerships with Synopsys, Siemens, Silvaco and F5 also support the Narrative claim that Nvidia can sit across the value chain, from chips to networking, software and tools. That breadth can make it harder for large customers to switch to alternatives from AMD or custom ASICs without giving up ecosystem benefits such as CUDA, TensorRT and NeMo Guardrails.

The bear side is not erased. These multi billion dollar projects increase exposure to data center power constraints, project execution and customer concentration, all of which analysts already flag as risks. Nvidia is also committing capital into partners and potential future competitors, which could pressure pricing if AI capacity ends up outpacing demand or if customers accelerate their own chip efforts.

Overall, this news leans modestly in favor of the existing bull Narrative. It reinforces Nvidia’s role as a central supplier and co architect of AI infrastructure, while also making the company more sensitive to the energy, financing and governance issues that could challenge that position if AI buildouts slow.

News like this lands differently depending on the Narrative you already hold.

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This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.