  In this work we demonstrate the usage of the VegasFlow library on multidevice
situations: multi-GPU in one single node and multi-node in a cluster. VegasFlow
is a new software for fast evaluation of highly parallelizable integrals based
on Monte Carlo integration. It is inspired by the Vegas algorithm, very often
used as the driver of cross section integrations and based on Google's powerful
TensorFlow library. In this proceedings we consider a typical multi-GPU
configuration to benchmark how different batch sizes can increase (or decrease)
the performance on a Leading Order example integration.
