VFlash brings 5.7x faster visual planning inference on Jetson Thor, DGX Spark and H100

ZhidingYu · x · 2026-11-06

VFlash supports inference acceleration through deployment on Jetson Thor, DGX Spark and H100, built on NVIDIA's TensorRT-Edge-LLM and TensorRT stack for robot manipulation and autonomous driving. vs. AR decoding baselines: 5x faster on MolmoSpace, 3x+ on NAVSim, and up to 5.7x on Waymo E2E. Downstream, a world action model or diffusion action head can cross-attend to VFlash's visual primitive token features while the VLM stays frozen — significantly improving the WAM baseline on MolmoSpace while cutting decoding latency.

Related event: NVIDIA Unveils VFlash: A System-1 Parallel Decoding Framework for Physical AI(10 posts)→

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