Edge AI from Palantir will run on Qualcomm processors in the future

Data analysis without cloud Edge AI from Palantir will run on Qualcomm processors in the future

2025-03-19 From Manuel Christa | Translated by AI 1 min Reading Time

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Palantir's AI and ontology technology is to be brought directly to Qualcomm's edge computing platforms to enable AI-based decisions even in remote and network-weak environments.

Edge AI for industrial applications: Qualcomm and Palantir start technology partnership.(Image: AI-generated) — Edge AI for industrial applications: Qualcomm and Palantir start technology partnership.
(Image: AI-generated)

The focus of the collaboration is the idea of transferring AI functions from the cloud directly to local hardware. This aims to enable real-time data analysis and decisions independent of a stable internet connection. The two companies are responding to a key challenge of many industrial applications: production facilities, factories, or vehicles are often located in places where continuous access to cloud resources cannot be guaranteed.

AI without cloud for the industrial and automotive sectors

The technical basis for this is formed by Qualcomm's Dragonwing processors and Palantir's software platforms Apollo and Foundry. The combination of these technologies is intended to improve the early detection of security risks, reduce response times, and increase system reliability. At the same time, security risks should be minimized as sensitive data can be processed directly on-site without detouring through external networks.

Nakul Duggal, responsible General Manager at Qualcomm, sees this cooperation as a milestone for the advancement of AI technologies at the edge. Qualcomm processors make it possible to perform complex analyses directly at the respective location.

Robert Imig, Head of Research at Palantir, particularly emphasizes the new flexibility: “Companies can now, for the first time, transfer their cloud-based data models directly to local devices.” This opens up entirely new possibilities for operating AI applications directly on-site and independently of the cloud. (mc)

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