The Runpod provider for Pulumi can be used to provision Runpod resources. The Runpod provider must be configured with Runpod's API keys to deploy and update resources in Runpod.
The config file for your yaml must look like this:
encryptionsalt: v1:csrpeOgvGEc=:********************:**********+77ttjiVODP66dgB3l7+Q==
config:
runpod:token: 26b7e**************************************ae57{{< chooser language "typescript,go,python" >}}
{{% choosable language typescript %}}
import * as pulumi from "@pulumi/pulumi";
import * as runpod from "@pierre78181/runpod";
const testNetworkStorage = new runpod.NetworkStorage("testNetworkStorage", {
name: "testStorage1",
size: 20,
dataCenterId: "US-NJ",
});
const myRandomPod = new runpod.Pod("myRandomPod", {
cloudType: "ALL",
networkVolumeId: testNetworkStorage.networkStorage.apply(networkStorage => networkStorage.id),
gpuCount: 1,
volumeInGb: 50,
containerDiskInGb: 50,
minVcpuCount: 2,
minMemoryInGb: 15,
gpuTypeId: "NVIDIA GeForce RTX 3070",
name: "RunPod Pytorch",
imageName: "runpod/pytorch",
dockerArgs: "",
ports: "8888/http",
volumeMountPath: "/workspace",
env: [{
key: "JUPYTER_PASSWORD",
value: "rns1hunbsstltcpad22d",
}],
});
export const pod = {
value: myRandomPod.pod,
};
export const networkStorage = {
value: testNetworkStorage.networkStorage,
};{{% /choosable %}}
{{% choosable language go %}}
package main
import (
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
"github.com/runpod/pulumi-runpod-native/tree/main/sdk/go/runpod"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
testNetworkStorage, err := runpod.NewNetworkStorage(ctx, "testNetworkStorage", &runpod.NetworkStorageArgs{
Name: pulumi.String("testStorage1"),
Size: pulumi.Int(20),
DataCenterId: pulumi.String("US-NJ"),
})
if err != nil {
return err
}
myRandomPod, err := runpod.NewPod(ctx, "myRandomPod", &runpod.PodArgs{
CloudType: pulumi.String("ALL"),
NetworkVolumeId: testNetworkStorage.NetworkStorage.ApplyT(func(networkStorage runpod.NetworkStorageType) (*string, error) {
return &networkStorage.Id, nil
}).(pulumi.StringPtrOutput),
GpuCount: pulumi.Int(1),
VolumeInGb: pulumi.Int(50),
ContainerDiskInGb: pulumi.Int(50),
MinVcpuCount: pulumi.Int(2),
MinMemoryInGb: pulumi.Int(15),
GpuTypeId: pulumi.String("NVIDIA GeForce RTX 3070"),
Name: pulumi.String("RunPod Pytorch"),
ImageName: pulumi.String("runpod/pytorch"),
DockerArgs: pulumi.String(""),
Ports: pulumi.String("8888/http"),
VolumeMountPath: pulumi.String("/workspace"),
Env: runpod.PodEnvArray{
&runpod.PodEnvArgs{
Key: pulumi.String("JUPYTER_PASSWORD"),
Value: pulumi.String("rns1hunbsstltcpad22d"),
},
},
})
if err != nil {
return err
}
ctx.Export("pod", myRandomPod)
ctx.Export("networkStorage", testNetworkStorage)
return nil
})
}{{% /choosable %}}
{{% choosable language python %}}
import pulumi
import pulumi_runpod as runpod
from loguru import logger
import json
def fetch_id(a):
if type(a) == runpod.outputs.NetworkStorage:
return a.id
else:
return a
try:
test_network_storage = runpod.NetworkStorage(
"testNetworkStorage", name="testStorage1", size=20, data_center_id="US-NJ"
)
my_random_pod = runpod.Pod(
"myRandomPod",
cloud_type="ALL",
network_volume_id=test_network_storage.network_storage.apply(lambda x : fetch_id(x)),
gpu_count=1,
volume_in_gb=50,
container_disk_in_gb=50,
min_vcpu_count=2,
min_memory_in_gb=15,
gpu_type_id="NVIDIA GeForce RTX 3070",
name="RunPod Pytorch",
image_name="runpod/pytorch",
docker_args="",
ports="8888/http",
volume_mount_path="/workspace",
env=[
runpod.PodEnvArgs(
key="JUPYTER_PASSWORD",
value="rns1hunbsstltcpad22d",
).__dict__,
],
)
print(my_random_pod)
pulumi.export(
"pod",
{
"value": my_random_pod.pod,
},
)
pulumi.export(
"networkStorage",
{
"value": test_network_storage.network_storage,
},
)
except Exception as e:
logger.exception(e){{% /choosable %}}
{{% choosable language yaml %}}
name: provider-runpod-native runtime: yaml
resources:
plugins:
providers:
- name: runpod
testNetworkStorage:
type: runpod:NetworkStorage
properties:
name: "testStorage1"
size: 20
dataCenterId: "US-NJ"
myRandomPod:
type: runpod:Pod
properties:
cloudType: ALL
networkVolumeId: ${testNetworkStorage.networkStorage.id}
gpuCount: 1
volumeInGb: 50
containerDiskInGb: 50
minVcpuCount: 2
minMemoryInGb: 15
gpuTypeId: "NVIDIA GeForce RTX 3070"
name: "RunPod Pytorch"
imageName: "runpod/pytorch"
dockerArgs: ""
ports: "8888/http"
volumeMountPath: "/workspace"
env: [{ key: "JUPYTER_PASSWORD", value: "rns1hunbsstltcpad22d" }]
outputs:
pod:
value: ${myRandomPod.pod}
networkStorage:
value: ${testNetworkStorage.networkStorage}