Hello again, i found one solution. In pipeline.config i changed this line:
max_number_of_boxes: 50

And retrain model. But anyway latency is hight:

Local model loaded by tf.saved_model.load ~110 ms (60ms loading img, 1-5ms convert to tensor, 60ms prediction
Local model loaded by Tensorflow Serving in Docker: ~1100 ms total

I will continue research. Cause it will be SUPER solution to have only 1 Server with model and 10 PCs getting results on 110ms latence. 1100 latency is to high