Palantir Technologies Inc. (PLTR) confirmed two separate partnerships on Monday, June 29, one with a private aviation startup and one with Nvidia.
Most coverage will treat these as routine corporate news. The pattern underneath them is not routine, however. It points to how Palantir plans to defend a valuation that has come under serious pressure this year.
Palantir is working with Surf Air Mobility to expand commercial use of its OperatorOS, OwnerOS, and SurfOS platforms, according to a company press release.
Separately, Palantir struck a deal to run Nvidia’s AI and Nemotron open models inside sovereign environments built for U.S. government agencies and critical infrastructure.
The Surf Air deal is about depth. Palantir is dedicating resources specifically to win over aircraft operators, brokers, owners, and manufacturers in private aviation. It’s a market Ted Mabrey, Palantir’s global head of commercial, called fragmented and reliant on manual processes.
The Nvidia deal, on the other hand, is about defensibility. It gives U.S. agencies a way to run powerful open models without sending proprietary data into a closed system they don’t control.
The Nvidia relationship is not new, and that matters
This is not Palantir’s first deal with Nvidia.
The two companies already integrated Nvidia’s GPU computing and Nemotron models into Palantir’s Ontology framework last year, with Lowe’s signed on as an early adopter, building a digital replica of its supply chain.
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The June 29 announcement extends that foundation into a sovereign AI deployment engine aimed squarely at national security customers.
Palantir CEO Alex Karp framed it as a way of letting the government use large language models without proprietary insights leaking into the weights of closed, foreign-controlled models.
Nvidia CEO Jensen Huang positioned it as infrastructure for U.S. AI leadership.
That framing is not accidental. Palantir has spent the past year arguing that open, controllable AI is a national security necessity, and Nvidia needs partners who can deploy its open models into the most sensitive corners of government.
Each company is using the other to make its pitch more credible.
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A strong quarter has not stopped PLTR stock from falling
Here is the tension the Palantir news is trying to address. Its revenue grew 85% year over year to $1.63 billion in the most recent quarter, according to the company’s Q1 2026 earnings release.
U.S. commercial revenue grew even faster, up 133% to $595 million, and the company raised its full-year guidance to roughly $7.65 billion.
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Karp used that release to compare Palantir’s 145% Rule of 40 score to a small group of elite AI infrastructure companies, including Nvidia.
That comparison was not a throwaway line. It was Palantir staking a claim to sit in the same category as the chipmaker whose stock has not been punished the way Palantir’s has.
Despite those numbers, Palantir shares have fallen roughly 32% so far this year and touched a 52-week low near $106 in late June, according to market data.
The sell-off has little to do with execution. It reflects investor anxiety that Palantir’s premium valuation cannot survive rising competition from newer AI model providers, including Anthropic, in the enterprise software space.
That is the gap these two deals are built to close. Surf Air shows Palantir can still win specialized commercial verticals on its own. The Nvidia deal shows it can anchor itself to the infrastructure layer of AI rather than compete directly against it.
Wall Street will keep pricing the tension, not the strategy
Palantir’s bet is that government and infrastructure customers will pay for security and control even as cheaper, more capable models proliferate elsewhere.
Nvidia’s bet is that being the open, controllable option keeps it relevant, no matter which application layer wins.
Both bets depend on a narrative holding up under pressure neither company fully controls.
The next test is not another partnership announcement. It is whether Palantir’s commercial growth rate holds when it laps the 133% comparison next quarter, and whether investors decide that is enough.
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