Purchasing an allocation for fluxg is like any other - send a ticket to flux-support@umich.edu requesting how many GPUs you would like. The costs per GPU can be found on the same ARC webpage.
Assuming you have access to a Flux GPU Account, you would access it with (using the LSA GPU Flux account as an example):
#PBS -A lsa_fluxg
#PBS -l qos=flux
#PBS -q fluxg
To get started, here are some links for accessing the CUDA libraries with Modules, using GPUs, NVIDIA's CUDA page, using Matlab with GPUs, or the Theano Python library.