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Fix verda tests for verda>=1.22.0 #221

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Merged
peterschmidt85 merged 1 commit into from
Mar 25, 2026
Merged

Fix verda tests for verda>=1.22.0 #221

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4 changes: 2 additions & 2 deletions pyproject.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -53,10 +53,10 @@ oci = [
"pydantic>=1.10.10,<2.0.0",
]
verda = [
'verda',
'verda>=1.22.0',
]
maybe_verda = [
'verda; python_version>="3.10"',
'verda>=1.22.0; python_version>="3.10"',
]
all = ["gpuhunt[aws,azure,maybe_verda,gcp,maybe_nebius,oci]"]
dev = [
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53 changes: 34 additions & 19 deletions src/tests/providers/test_verda.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,85 +17,91 @@
def raw_instance_types() -> list[dict]:
# verda.instance_types.get()
one_gpu = {
"best_for": [
"Gargantuan ML models",
"Multi-GPU training",
"FP64 HPC",
"NVLINK",
],
"best_for": [],
"cpu": {"description": "30 CPU", "number_of_cores": 30},
"currency": "usd",
"deploy_warning": "H100: Use Nvidia driver 535 or higher for best performance",
"description": "Dedicated Hardware Instance",
"display_name": None,
"gpu": {"description": "1x H100 SXM5 80GB", "number_of_gpus": 1},
"gpu_memory": {"description": "80GB GPU RAM", "size_in_gigabytes": 80},
"id": "c01dd00d-0000-480b-ae4e-d429115d055b",
"instance_type": "1H100.80S.30V",
"manufacturer": "NVIDIA",
"memory": {"description": "120GB RAM", "size_in_gigabytes": 120},
"model": "H100 80GB",
"model": "H100",
"name": "H100 SXM5 80GB",
"p2p": "",
"p2p": None,
"price_per_hour": "3.95",
"spot_price": "1.70",
"storage": {"description": "dynamic"},
"supported_os": ["ubuntu-22.04", "ubuntu-24.04"],
}

two_gpu = {
"best_for": ["Large ML models", "FP32 calculations", "Single-GPU training"],
"best_for": [],
"cpu": {"description": "20 CPU", "number_of_cores": 20},
"currency": "usd",
"deploy_warning": None,
"description": "Dedicated Hardware Instance",
"display_name": None,
"gpu": {"description": "2x RTX A6000 48GB", "number_of_gpus": 2},
"gpu_memory": {"description": "96GB GPU RAM", "size_in_gigabytes": 96},
"id": "07cf5dc1-a5d2-4972-ae4e-d429115d055b",
"instance_type": "2A6000.20V",
"manufacturer": "NVIDIA",
"memory": {"description": "120GB RAM", "size_in_gigabytes": 120},
"model": "RTX A6000",
"name": "RTX A6000 48GB",
"p2p": "",
"p2p": "50GB/s",
"price_per_hour": "1.98",
"spot_price": "0.70",
"storage": {"description": "dynamic"},
"supported_os": ["ubuntu-22.04", "ubuntu-24.04"],
}

cpu_instance = {
"best_for": ["Running services", "API server", "Data transfers"],
"best_for": [],
"cpu": {"description": "120 CPU", "number_of_cores": 120},
"currency": "usd",
"deploy_warning": None,
"description": "Dedicated Hardware Instance",
"display_name": "Rome/Milan",
"gpu": {"description": "", "number_of_gpus": 0},
"gpu_memory": {"description": "", "size_in_gigabytes": 0},
"id": "ccc00007-a5d2-4972-ae4e-d429115d055b",
"instance_type": "CPU.120V.480G",
"manufacturer": "AMD",
"memory": {"description": "480GB RAM", "size_in_gigabytes": 480},
"model": "CPU Node",
"name": "AMD EPYC",
"p2p": "",
"p2p": None,
"price_per_hour": "3.00",
"spot_price": "1.50",
"storage": {"description": "dynamic"},
"supported_os": ["ubuntu-22.04", "ubuntu-24.04"],
}

minimal = {
"best_for": [
"Small ML models",
"Multi-GPU training",
"FP64 calculations",
"NVLINK",
],
"best_for": [],
"cpu": {"description": "6 CPU", "number_of_cores": 6},
"currency": "usd",
"deploy_warning": None,
"description": "Dedicated Hardware Instance",
"display_name": None,
"gpu": {"description": "1x Tesla V100 16GB", "number_of_gpus": 1},
"gpu_memory": {"description": "16GB GPU RAM", "size_in_gigabytes": 16},
"id": "04cf5dc1-a5d2-4972-ae4e-d429115d055b",
"instance_type": "1V100.6V",
"manufacturer": "NVIDIA",
"memory": {"description": "23GB RAM", "size_in_gigabytes": 23},
"model": "Tesla V100",
"name": "Tesla V100 16GB",
"p2p": "",
"p2p": None,
"price_per_hour": "0.89",
"spot_price": "0.25",
"storage": {"description": "225GB NVME", "size_in_gigabytes": 225},
"supported_os": ["ubuntu-22.04", "ubuntu-24.04"],
}

return [one_gpu, two_gpu, cpu_instance, minimal]
Expand Down Expand Up @@ -162,6 +168,15 @@ def instance_types(raw_instance_type: dict) -> InstanceType:
memory=raw_instance_type["memory"],
gpu_memory=raw_instance_type["gpu_memory"],
storage=raw_instance_type["storage"],
best_for=raw_instance_type["best_for"],
model=raw_instance_type["model"],
name=raw_instance_type["name"],
p2p=raw_instance_type["p2p"],
currency=raw_instance_type["currency"],
manufacturer=raw_instance_type["manufacturer"],
display_name=raw_instance_type["display_name"],
supported_os=raw_instance_type["supported_os"],
deploy_warning=raw_instance_type.get("deploy_warning"),
)
return instance

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