ray/release/nightly_tests/dataset/pipelined_training_compute.yaml
Chen Shen b38ebd368c
[Dataset][nighlyt-test] spend less money #19488
Reduce the epoch and ensure everything runs in the same datacenter.
2021-10-18 18:53:50 -07:00

29 lines
588 B
YAML

cloud_id: cld_17WvYIBBkdgLwEUNcLeRAE
region: us-west-2
allowed_azs:
- us-west-2a
max_workers: 999
aws:
IamInstanceProfile: {"Name": "ray-autoscaler-v1"}
BlockDeviceMappings:
- DeviceName: /dev/sda1
Ebs:
VolumeSize: 500
head_node_type:
name: head_node
instance_type: i3.8xlarge
worker_node_types:
- name: memory_node
instance_type: i3.8xlarge
min_workers: 10
max_workers: 10
use_spot: false
- name: gpu_node
instance_type: p3.8xlarge
min_workers: 4
max_workers: 4
use_spot: false