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VLA models get a 1.73x speedup with only 5-7% overhead thanks to RAPID, a new edge-cloud collaborative inference framework that smartly handles visual noise and motion continuity.
Achieve global-optimal GEMM mapping for spatial accelerators orders of magnitude faster than existing methods by analytically modeling the mapping space geometrically.
