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Palantir, NVIDIA Unveil AI Ontology-Layer Architecture as Karp Blasts Token Pricing

3 reports · First detected 2026-07-02 · Last active 2026-07-03

Companies deploying large language models typically pay according to the number of input and output tokens used. Palantir argues that the real value lies in an “ontology layer” that connects models to corporate data, permissions and workflows. The architecture gives organizations control over their computing resources, models and data, which is particularly important for governments, defense organizations and regulated industries.

Palantir and NVIDIA unveiled a reference architecture for a sovereign AI operating system on June 29, 2026, integrating Blackwell Ultra, Nemotron and Palantir’s ontology layer. The value of the partnership was not disclosed. In a July 1 CNBC interview, Alex Karp criticized token-based pricing, asking why a model that could create $1 billion in value should not charge a 30% share of the outcome. He also said companies were concerned about data and intellectual property leaking outside their organizations.

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The history behind this event
Palantir CEO Blasts ‘Marxist’ AI Labs as Profit Hits Record2026-08-04 · 1 reports · similarity 0.81

Palantir Technologies supplies data-integration and artificial-intelligence software to governments and businesses, positioning its platforms as a way for customers to deploy AI while retaining control of proprietary data and operational systems. Chief Executive Alex Karp has increasingly challenged frontier AI labs, arguing that large-language-model developers may use partnerships to move into customers’ most valuable businesses and ultimately control their “means of production.” The dispute highlights growing concern over data sovereignty and bargaining power in enterprise AI.

Palantir said on Aug. 3 that second-quarter revenue surged 93% from a year earlier to $1.935 billion, while net income climbed to $1.07 billion, or 41 cents a share, from about $329 million, or 13 cents. U.S. commercial revenue jumped 149% to $764 million in the quarter ended June 30, as demand for AI software accelerated. In his latest shareholder letter, Karp called some frontier labs untrustworthy and described their business ethos as “Marxist,” accusing model developers of seeking to capture partners’ production infrastructure.

Palantir CEO’s Critique of AI Giants Prompts Banks to Reassess Deployments2026-07-14 · 1 reports · similarity 0.82

As the financial industry moves generative AI applications from proof of concept into production, data sovereignty and cost controls have become central concerns. U.S. software company Palantir says banks risk losing competitiveness if they rely too heavily on external closed-source models. The warning is prompting financial institutions worldwide to accelerate reviews of their partnerships with AI giants in 2026 and consider layered AI architectures that can prevent data leakage while effectively controlling steep computing costs.

Palantir CEO Alex Karp said on July 1, 2026, that providing data to OpenAI and Anthropic was akin to paying a “wealth tax.” American Banker reported on July 14 that the warning was prompting the financial industry to reassess its deployments. Fiserv currently uses OpenAI, FIS has chosen Anthropic, and Jack Henry is working with Google.

Palantir CEO Blasts Silicon Valley AI Peers for Failing to See How Disliked They Are2026-06-15 · 1 reports · similarity 0.80

Palantir has long focused on bringing AI and data analytics into government and corporate operations, leading CEO Alex Karp to emphasize products that can be deployed immediately to solve existing problems. He argues that most Silicon Valley AI companies are obsessed with sweeping visions while overlooking customers' practical demands on cost, results and deployability.

Karp has again criticized AI companies and their leaders for failing to recognize how negatively they are perceived. Their products are not only expensive but also frequently perform below expectations, he said. He singled out OpenAI's deployment model as a “complete farce,” arguing that the industry should prioritize practical AI. The report did not specify when he made the remarks or provide figures for contract values or product costs.

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