Closed JGSweets closed 8 months ago
It seems it is required to add the CPU / GPU resources.
resources:
worker_node: 1
instance_type_g5: 1
accelerator_type_a10: 1
CPU: 64
GPU: 4
Hi @JGSweets , looks like you have already fixed the issue by yourself. (We are going to clean up the config, so that user can directly use it without learning the accelerator concept.)
When trying to launch any model via serve, ray is now throwing
I'm not sure why ray is not requesting resources via the autoscale config anymore to fix said issue.