[profile.m6i]
region = "eu-west-3"
image_id = "ami-0a24aaee029d1295c" # Based on Ubuntu 22.4
instance_type = "m6i.metal"
subnet_id = "subnet-a886b4c1"
security_group= ["sg-0bf1c1d79c97bc88f", ]

[profile.m6i-old]
region = "eu-west-3"
image_id = "ami-05e4c0e628378ad6d" # Based on Ubuntu 20.4
instance_type = "m6i.metal"
subnet_id = "subnet-a886b4c1"
security_group= ["sg-0bf1c1d79c97bc88f", ]

[profile.gpu]
region = "us-east-1"
image_id = "ami-03deb184ab492226b"
instance_type = "p3.2xlarge"
subnet_id = "subnet-8123c9e7"
security_group= ["sg-0f8b52622a2669491", ]

# Trigger CPU build
[command.cpu-build]
workflow = "aws_build.yml"
profile = "m6i-old"
check_run_name = "AWS CPU build (Slab)"

# Trigger GPU build
[command.gpu-build]
workflow = "aws_build.yml"
profile = "gpu"
check_run_name = "AWS GPU build (Slab)"

# Trigger ML benchmarks by running each use cases subset in parallel.
[command.ml-bench]
workflow = "ml_benchmark_subset.yml"
profile = "m6i"
matrix = [0,1,2,3,4,5,6,7,8,9,10]
max_parallel_jobs = 2