RFM requires GPUs simultaneously across three stages: training, simulation, and edge inference

·2026.10.21 10:37

Key point

RFM demands more GPUs than LLMs because data generation through simulation is essential.

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RFM has a structure that requires GPUs simultaneously across three stages: training, simulation, and edge inference
It is essential to generate synthetic data through simulation because it is difficult for robots to secure real-world data
NVIDIA presents dedicated GPU stacks for each of the three stages, such as DGX, Omniverse, and Jetson
In the Korean market, manufacturing, smart factories, and autonomous driving are the primary demand sectors rather than humanoid robots
Cloud infrastructure that meets data sovereignty and network isolation requirements is the core of competitiveness