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[DNM] Try m7a #948

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20 changes: 10 additions & 10 deletions cluster_kwargs.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@
default:
package_sync: true
wait_for_workers: true
scheduler_vm_types: [m6i.large]
scheduler_vm_types: [m7a.large]
backend_options:
spot: true
spot_on_demand_fallback: true
Expand All @@ -23,35 +23,35 @@ default:
# For all tests using the small_client fixture
small_cluster:
n_workers: 10
worker_vm_types: [m6i.large] # 2CPU, 8GiB
worker_vm_types: [m7a.large] # 2CPU, 8GiB

# For tests/benchmarks/test_parquet.py
parquet_cluster:
n_workers: 15
worker_vm_types: [m5.xlarge] # 4 CPU, 16 GiB
worker_vm_types: [m7a.xlarge] # 4 CPU, 16 GiB

# For tests/benchmarks/test_spill.py
spill_cluster:
n_workers: 5
worker_disk_size: 64
worker_vm_types: [m6i.large] # 2CPU, 8GiB
worker_vm_types: [m7a.large] # 2CPU, 8GiB

# For tests/workflows/test_embarrassingly_parallel.py
embarrassingly_parallel:
n_workers: 100
worker_vm_types: [m6i.xlarge] # 4 CPU, 16 GiB (preferred default instance)
worker_vm_types: [m7a.xlarge] # 4 CPU, 16 GiB (preferred default instance)
backend_options:
region: "us-east-1" # Same region as dataset

# For tests/workflows/test_xgboost_optuna.py
xgboost_optuna:
n_workers: 50
worker_vm_types: [m6i.xlarge] # 4 CPU, 16 GiB (preferred default instance)
worker_vm_types: [m7a.xlarge] # 4 CPU, 16 GiB (preferred default instance)

# For tests/workflows/test_uber_lyft.py
uber_lyft:
n_workers: 20
worker_vm_types: [m6i.xlarge] # 4 CPU, 16 GiB (preferred default instance)
worker_vm_types: [m7a.xlarge] # 4 CPU, 16 GiB (preferred default instance)

# For tests/workflows/test_pytorch_optuna.py
pytorch_optuna:
Expand All @@ -66,7 +66,7 @@ pytorch_optuna:
# For tests/workflows/test_snowflake.py
snowflake:
n_workers: 20
worker_vm_types: [m6i.xlarge] # 4 CPU, 16 GiB (preferred default instance)
worker_vm_types: [m7a.xlarge] # 4 CPU, 16 GiB (preferred default instance)


# Specific tests
Expand All @@ -80,11 +80,11 @@ test_work_stealing_on_straggling_worker:

test_repeated_merge_spill:
n_workers: 20
worker_vm_types: [m6i.large]
worker_vm_types: [m7a.large]

# For tests/workflows/test_from_csv_to_parquet.py
from_csv_to_parquet:
n_workers: 10
worker_vm_types: [m6i.xlarge] # 4 CPU, 16 GiB (preferred default instance)
worker_vm_types: [m7a.xlarge] # 4 CPU, 16 GiB (preferred default instance)
backend_options:
region: "us-east-1" # Same region as dataset