Bitget App
Trade smarter
Buy cryptoMarketsTradeFuturesEarnAISquareMore
After an in-depth late-night conversation with Nebius employees, I realized: The market has underestimated this Palantir collaboration!

After an in-depth late-night conversation with Nebius employees, I realized: The market has underestimated this Palantir collaboration!

美股投资网美股投资网2026/09/09 22:40
Show original
By:美股投资网

Last night, I chatted with an engineer from NBIS until early morning,and it only dawned on me during our conversation:The market is focused on Palantir and Nebius as two Logos combined together,thinking they understand this cooperation—yet what really matters,is a much deeper underlying question:On whose machines does enterprise AIactually run?

The core judgment from US Stock Investment Network is that this is not an ordinary cloud partnership, but ratherPalantirfor the first time uniting data permissions, model control, and underlying computing power within a single enterprise boundary.

Nowadays, many people talk about "sovereignAI", but their understanding is limited to regional choices: the same closed model and set of cloud services, just moved to a local data center, adding a different national flag on the server.

But real sovereignty must answer two questions: Who is allowed to access data and models? Where do the models actually run?

Palantiraddresses the first part.

AIP,Ontology,FoundryandApolloform the authorization and isolation layer, which decides who can see what, which model can access which dataset, and whether the industry knowledge trained with a company’s private data remains within its own boundaries.

Nebiuscomplements with the second part.

After full integration, qualifiedPalantirclients can invokeNebius’ computing and inference endpoints within the enterprise boundary, deploy open models next to their data, carry out continuous training, optimization and inference, while retaining control over computation, data, and the final model.

The key issue arises here: in the past, many enterprises were forced to choose between performance and control—using mature external closed-source models with strong performance, but risking their most valuable data and feedback continually flowing into another system; or keeping data entirely internal, yet lacking the infrastructure for large-scaleAItasks’ reliable operations.

PalantirandNebiusworking together meansPalantirprovides enterprise clients, data governance and authorization systems, whileNebiusoffers underlying computing power, cloud platform and inference capabilities.

They handle distribution, we handle operations, and everything stays within the same boundary.

ForPalantir, sovereignAIis no longer confined to software. Without underlying computing power, so-called isolation is just a control panel; but after integrating preferred infrastructure, it can sell enterprises a true, fully self-run model system.

ForNebius, the value of this partnership goes beyond brand endorsement. It connects our computing power with an existing enterprise sales process. Many clients are already usingFoundryandAIP, and have completed data governance and the toughest procurement decisions; what’s really holding them back is where theTokenis ultimately generated and where the model is run.

IfPalantircan channel these clients intoNebius,Nebiuswill no longer just be facing AI startups chasingGPUs, but large enterprises that already have budgets, private data and production workflows. The customer acquisition path may be shortened, and new capacity could be more easily converted into utilization, revenue and ongoing inference demand.

There’s another detail that is easily overlooked: Both parties plan to bring new capacity online more quickly at sites with existing power through modular data centers.

This sentence is crucial.

AIcloud is never unlimited.GPUs can be purchased, software can be replicated, but power supply, land, grid integration, and construction lead times cannot be one-click generated. Locking in power first, then deploying data centers, racks and software, is much closer to the real world ofAIinfrastructure than telling a story about infinite cloud expansion.

So how should this be viewed?

NBISis the more direct beneficiary in terms of capacity and utilization, whilePLTRcompletes the closed loop of sovereignty AI from the software control level to the underlying infrastructure. However, "preferred partner" does not mean exclusive, the announcement did not disclose contract amounts, nor can potential clients be counted as revenue in advance.

What we really need to watch moving forward is: how many enterprise clients can Palantir bring in, can modular capacity be launched on time, and can clients move from trials to continuous training and inference. Only when channels become utilization, and utilization becomes cash flow, does this collaboration truly enter the valuation equation.

Sovereignty without isolation is role-play.

Isolation without computing power is a product manual.

Computing power without electricity is just a waiting list.

What’s truly happening today is that these three elements can finally be sold as a completeStack.

$NBIS $PLTR #US Stocks

0
0

Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

Understand the market, then trade.
Bitget offers one-stop trading for cryptocurrencies, stocks, and gold.
Trade now!

You may also like

Trump presses the Federal Reserve to "cut rates to save the economy," but the market is betting on a 60% probability of a rate hike in September

Ahead of the Federal Reserve’s September monetary policy meeting (scheduled for September 15-16), U.S. President Trump and senior administration officials have made intensive statements, urging the central bank not to raise interest rates and even calling for a cut in the benchmark rate.

智通财经2026/09/09 23:31
Trump presses the Federal Reserve to "cut rates to save the economy," but the market is betting on a 60% probability of a rate hike in September

US energy stocks remain "cheap" after surging: High oil prices may lead to a valuation recovery

The Energy Select Sector SPDR ETF, which tracks US energy stocks, has surged over 43% year-to-date, far outperforming other S&P 500 sectors. Despite this, the energy sector remains one of the lowest-valued sectors within the S&P 500. High oil prices have led to excess profits for energy stocks; although Wall Street previously viewed this round of earnings growth as a temporary phenomenon, if elevated oil prices persist longer than expected, the valuation recovery of energy stocks may have only just begun.

华尔街见闻2026/09/09 23:21

Besant brings Peashooter to tank battle, US Treasury repo hits a wall, 10-year US Treasury yield at three-year high

U.S. Treasury bonds are currently facing multiple pressures, including high oil prices intensifying inflation, rising expectations of Federal Reserve rate hikes, soaring fiscal deficits, and large-scale corporate bond issuances. At the same time, the $6 billion buyback scale has fallen short of market expectations. While Bessent had previously made lowering long-term yields a policy goal, on Tuesday he admitted that it's impossible to change the "equilibrium" price of government bonds. Analysts pointed out that buybacks cannot stop the fundamentals-driven yield trends, likening it to "the Treasury bringing a pea shooter to a tank battle."

华尔街见闻2026/09/09 23:01