VLA Robotics on NXP i.MX95 Embedded: 9x Latency Reduction

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NXP/HuggingFace guide for VLA model deployment on i.MX95 embedded processor. ACT: 96% accuracy at 2.86s FP32, 89% at 0.32s optimized (9x reduction). SmolVLA baseline 47%. Decomposes VLA into vision encoder + LLM backbone + action expert for per-block quantization. Asynchronous inference with control-aware scheduling.