Numba's cuda.jit as parallel gpus

I started learning about the Numba library by taking Fundamentals of Accelerated Computing with CUDA Python.
The course explained how to write Numba cuda.jit kernels that run in parallel on a single GPU.

Is it possible to implement Numba’s cuda.jit kernels to run in parallel on multiple GPUs at the same time? i.e. run any cuda.jit kernel on a GPU cluster.