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NVIDIA could see long-term gains as SpaceX builds space-based data centers. With SpaceX valued at $1.75 trillion, see how the AI chip demand is shifting.
SpaceX is moving to deploy space-based data centers powered by NVIDIA chips, a strategic shift that analysts suggest could provide a long-term tailwind for the semiconductor giant [1]. This development follows the June 13, 2026, public debut of SpaceX, which hit a valuation of approximately $1.75 trillion, marking it as one of the most valuable companies globally [2].
While SpaceX’s primary reputation remains tied to rocket launches, its xAI division is aggressively procuring NVIDIA hardware to bolster its computing capabilities [1]. The demand is already visible in the broader market, as SpaceX maintains cloud service agreements with Google and Anthropic that involve monthly expenditures of $920 million and $1.5 billion, respectively, for NVIDIA GPUs [1]. These partnerships underscore a growing reliance on NVIDIA’s infrastructure to support complex AI model training and development in high-stakes environments [1].
For NVIDIA, the potential move into orbital data processing represents a new frontier for its GPU and CUDA software platforms [1]. Despite the excitement, the economic feasibility of operating data centers in space remains a point of skepticism among some market observers [1]. Furthermore, NVIDIA’s stock has faced recent pressure, declining about 9% amid concerns regarding intensifying competition in the AI chip sector [1].
The financial picture for NVIDIA remains complex. While the company maintains a robust financial health score of 9/10 and a GF Score of 96/100, insiders have offloaded $333.6 million in shares over the past three months with no reported purchases [1]. Additionally, the company’s current price of $205.19 sits well below its calculated GF Value of $341.00, though its trailing twelve-month P/E ratio of 31.42x is notably lower than its five-year median of 60.51x [1].
As SpaceX scales its satellite constellation—which has grown to more than 9,000 Starlink units since 2019—the broader space economy is increasingly viewed as a mainstream market [2]. The central question for investors is whether the infrastructure requirements of this new space economy will mirror the explosive demand NVIDIA saw during the initial AI buildout, or if the technical and economic hurdles of orbital computing will limit the scale of the opportunity.
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 2 outlets · Jun 14, 2026 · How we report
Nvidia designs its chips but relies on Taiwan Semiconductor Manufacturing (TSMC) for the actual manufacturing process.
NVLink Fusion allows third-party accelerators to communicate with Nvidia GPUs and infrastructure over a high-bandwidth, low-latency interconnect.
CEO Jensen Huang has forecast that Nvidia could reach $1 trillion in AI-related revenue by the 2027 calendar year.
No, Nvidia partners with other firms like Marvell Technology to integrate custom silicon and networking components into its broader AI infrastructure ecosystem.