Paco Martín Fernández
Paco Martín Fernández
Yes, that is a good solution, but we dont want consume the next job.
One question about it, Is it using the distribute_task annotation or the entire function will run in GPU? I am asking it because imagine that a function is using 4...
distribute_task annotation is ok. Ohh so even if the method where the distribute_task annotation finished the resource is not released to be available again for other function?
Is it possible assign a classical CPU node for the main functions and just assign the GPU nodes per each distribute_task annotation call, so the GPU resource is unblocked when...