A photograph of a combat vehicle equipped with THOR, driving down a dusty environment with mountains in the background. Image: Leonardo DRS
GIF Promo

Leonardo DRS is giving military vehicle crews the edge they need to make better decisions under fire with a new embedded computing chassis system.

Short for Tactical, High-Performance Embedded Computing, Open Architecture, Rugged, THOR serves as a computing backbone for crews to run AI and fuse multi-sensor data at the tactical edge.

It accommodates a range of computing modules, including graphics processing units for AI and machine learning, as well as radio frequency and digital signal processing units.

With internal data rates reaching 100 gigabits per second, THOR is built to handle the bandwidth and responsiveness required for advanced sensing and networked operations.

A front-facing view of a combat vehicle fitted with THOR advancing through a thick cloud of dust in a desert environment. Image: Leonardo DRS

Modular by Design

THOR combines a modular architecture with ruggedized construction, allowing new technologies to be integrated into a compact system intended for deployment in contested environments.

The platform can operate in extreme temperatures, shock and vibration, and challenging electromagnetic conditions that can degrade standard computing systems.

Aligned with the Sensor Open Systems Architecture (SOSA) and the Pentagon’s Modular Open Systems Approach, the system is designed for integration into combat vehicles while supporting interoperability and future upgrades.

Close-up view of the THOR embedded computing chassis system. Image: Leonardo DRS

The open-architecture approach reduces dependence on a single vendor and provides a more flexible upgrade path, allowing systems to adapt as new capabilities emerge.

Meeting Demand

As modernization across ground, air, and emerging domains continue, demand is growing for high-density computing that can be deployed directly on platforms rather than centralized in rear echelons

THOR is positioned to support that shift by enabling onboard AI processing, sensor fusion, and faster decision-making within a single ruggedized platform.

It also reflects the company’s broader focus on advancing sensing and computing technologies aimed at improving operational awareness in complex environments.

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