NVIDIA has announced the T3000 and T2000 modules based on the Thor architecture, designed for robotics and edge AI applications. These new modules provide enhanced AI computing capabilities in compact form factors, supporting the growing demand for autonomous machines in various industries.
NVIDIA has introduced two new AI supercomputer modules, the T3000 and T2000, based on the Thor architecture. These products target the demand for compact, power-efficient solutions capable of deploying artificial intelligence in mainstream robotics and edge applications.
The Jetson T3000 module provides 865 FP4 teraflops of AI compute. It features an NVIDIA Blackwell GPU, an eight-core Neoverse Arm CPU, 32GB of memory, and 273GB/s bandwidth, all within a size and power consumption of approximately half that of the T5000.
The Jetson AGX Thor is increasingly being used in industry, with companies like Amazon Robotics, Boston Dynamics, and FANUC developing on this platform. The T3000 module can efficiently handle multimodal workloads, enabling cost reductions through its compact design.
The Jetson T2000 expands the capabilities of edge AI systems, offering 400 FP4 teraflops and 16GB of memory. It serves as an entry point for developers of visual AI agents and autonomous systems, part of NVIDIA’s broader strategy to create scalable edge AI solutions.
NVIDIA also introduced agent skills to optimize memory management and system configuration across all Jetson devices. This automation significantly enhances developer productivity by simplifying tasks that previously required expert knowledge.
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NVIDIA has announced the T3000 and T2000 modules based on the Thor architecture, designed for robotics and edge AI applications. These new modules provide enhanced AI computing capabilities in compact form factors, supporting the growing demand for autonomous machines in various industries.