
Palantir and Nvidia CEOs discuss their latest partnership
- Length
- 5 min
- Language
- English
- Text from
- the video's captions
- Transcribed
- 12 October 2026
Summary
CNBC talks with Palantir CEO Alex Karp and Nvidia CEO Jensen Huang about their new partnership, which integrates Nvidia's accelerated computing and AI libraries into Palantir's Ontology platform. They explain how it automates enterprise decision-making, runs in any cloud or on-prem, and can be used with open-weight models or any hyperscaler. Karp argues it benefits American manufacturing and workers, and both push back on fears that AI simply takes jobs.
Key points
- Palantir and Nvidia are partnering to combine Palantir's Ontology platform with Nvidia's accelerated computing and AI libraries.
- Ontology is described as a digital representation of an enterprise, including its security model, enabling decision-making to move to the frontline with or without people.
- Jensen Huang says the stack can run in any cloud, on-prem, or in a private cloud, on servers from vendors like HP or Dell.
- Alex Karp says the partnership enables faster, cheaper, more granular decisions and supports American manufacturing and workers.
- Karp argues AI will change jobs but make companies more productive, leading them to hire more people.
- Neither executive commits to near-term revenue accretion from the partnership.
Questions it answers
00:00The Palantir-Nvidia partnership
What are Palantir and Nvidia partnering on?
It pairs Palantir's Ontology enterprise platform with Nvidia's accelerated computing and AI libraries to automate and speed up business decisions, such as supply chain choices at a company like Lowe's.
- Ontology is a digital representation of an enterprise including its security model.
- The goal is faster, cheaper, more granular decision-making at the frontline.
01:53Hardware and deployment
Who procures the hardware and where does it run?
Huang says it runs everywhere: any cloud, on-prem, or a private cloud, on hardware like servers from HP or Dell.
- Nvidia's CUDA accelerated computing and AI libraries will be integrated into Ontology.
- Customers can use hyperscalers, open-weight models, or neither.
03:06Revenue and customers
Is this accretive to revenue soon?
Karp says value creation for customers comes first; Palantir is already doing well on revenue and profit, and that is not the primary motivation.
- No commitment to near-term revenue impact.
- The pitch is speed, accuracy, flexibility, and customer choice.
03:40Jobs and humans in the loop
Will this AI displace workers?
Karp says AI will change every job but argues it makes companies more productive so they grow and hire more, and that humans must remain in the loop in contexts like defense.
- Humans are still required in the loop for defense use cases.
- Karp claims the partnership strengthens workers, manufacturing, and America.
Notes
Partnership Overview
- CNBC interviews Palantir CEO Alex Karp and Nvidia CEO Jensen Huang about their collaboration.
- The partnership combines Palantir's Ontology platform with Nvidia's CUDA accelerated computing and AI libraries, plus an open-source model they are working on together.
What Ontology Does
- Karp describes Ontology as a digital representation of an enterprise, including its security model.
- It takes the capabilities of large language models and moves decision-making to the frontline, with or without people depending on the use case.
- Using Lowe's as an example: automating decisions like how the supply chain works, how it would work if it changed, and getting the cheapest goods to the right place amid disruption.
Deployment Flexibility
- Huang says the stack runs everywhere: in any cloud, on-prem, or in a private cloud.
- Customers can buy servers from HP or Dell, or set up private clouds in other countries.
- Karp says customers can use open-weight models, open source models, any hyperscaler, or no hyperscaler at all.
Speed and National Impact
- Karp expects the partnership to enable "2x" speed, and even faster in the future, at lower cost.
- He argues it is better for America: enabling domestic manufacturing, strengthening workers, and increasing competition.
Jobs and Humans in the Loop
- Karp clarifies that "humans not in the loop" doesn't mean humans are never needed; in defense contexts humans must be in the loop.
- He suggests you can create more manufacturing jobs and make humans more valuable.
- Both argue AI will change every job but make companies more productive, which leads to hiring more people.
Revenue Question
- Asked whether the deal is accretive to revenue near-term, Karp deflects, saying value creation for customers comes first and Palantir is already doing well on revenue and profit.
Text from the video's own captions. Summary and notes written by AI from the transcript, so check anything important against the recording.