digitalocean.getDedicatedInferenceAccelerators

import * as pulumi from "@pulumi/pulumi";
import * as digitalocean from "@pulumi/digitalocean";

const example = digitalocean.getDedicatedInferenceAccelerators({
    dedicatedInferenceId: exampleDigitaloceanDedicatedInference.id,
});
export const accelerators = example.then(example => example.accelerators);

import pulumi
import pulumi_digitalocean as digitalocean

example = digitalocean.get_dedicated_inference_accelerators(dedicated_inference_id=example_digitalocean_dedicated_inference["id"])
pulumi.export("accelerators", example.accelerators)

package main

import (
	"github.com/pulumi/pulumi-digitalocean/sdk/v4/go/digitalocean"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		example, err := digitalocean.GetDedicatedInferenceAccelerators(ctx, &digitalocean.GetDedicatedInferenceAcceleratorsArgs{
			DedicatedInferenceId: exampleDigitaloceanDedicatedInference.Id,
		}, nil)
		if err != nil {
			return err
		}
		ctx.Export("accelerators", example.Accelerators)
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using DigitalOcean = Pulumi.DigitalOcean;

return await Deployment.RunAsync(() => 
{
    var example = DigitalOcean.Index.GetDedicatedInferenceAccelerators.Invoke(new()
    {
        DedicatedInferenceId = exampleDigitaloceanDedicatedInference.Id,
    });

    return new Dictionary<string, object?>
    {
        ["accelerators"] = example.Apply(getDedicatedInferenceAcceleratorsResult => getDedicatedInferenceAcceleratorsResult.Accelerators),
    };
});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.digitalocean.DigitaloceanFunctions;
import com.pulumi.digitalocean.inputs.GetDedicatedInferenceAcceleratorsArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var example = DigitaloceanFunctions.getDedicatedInferenceAccelerators(GetDedicatedInferenceAcceleratorsArgs.builder()
            .dedicatedInferenceId(exampleDigitaloceanDedicatedInference.id())
            .build());

        ctx.export("accelerators", example.accelerators());
    }
}

variables:
  example:
    fn::invoke:
      function: digitalocean:getDedicatedInferenceAccelerators
      arguments:
        dedicatedInferenceId: ${exampleDigitaloceanDedicatedInference.id}
outputs:
  accelerators: ${example.accelerators}

import * as pulumi from "@pulumi/pulumi";
import * as digitalocean from "@pulumi/digitalocean";

const filtered = digitalocean.getDedicatedInferenceAccelerators({
    dedicatedInferenceId: example.id,
    filters: [{
        key: "slug",
        values: ["gpu-h100x1-80gb"],
    }],
});

import pulumi
import pulumi_digitalocean as digitalocean

filtered = digitalocean.get_dedicated_inference_accelerators(dedicated_inference_id=example["id"],
    filters=[{
        "key": "slug",
        "values": ["gpu-h100x1-80gb"],
    }])

package main

import (
	"github.com/pulumi/pulumi-digitalocean/sdk/v4/go/digitalocean"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := digitalocean.GetDedicatedInferenceAccelerators(ctx, &digitalocean.GetDedicatedInferenceAcceleratorsArgs{
			DedicatedInferenceId: example.Id,
			Filters: []digitalocean.GetDedicatedInferenceAcceleratorsFilter{
				{
					Key: "slug",
					Values: []string{
						"gpu-h100x1-80gb",
					},
				},
			},
		}, nil)
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using DigitalOcean = Pulumi.DigitalOcean;

return await Deployment.RunAsync(() => 
{
    var filtered = DigitalOcean.Index.GetDedicatedInferenceAccelerators.Invoke(new()
    {
        DedicatedInferenceId = example.Id,
        Filters = new[]
        {
            new DigitalOcean.Inputs.GetDedicatedInferenceAcceleratorsFilterInputArgs
            {
                Key = "slug",
                Values = new[]
                {
                    "gpu-h100x1-80gb",
                },
            },
        },
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.digitalocean.DigitaloceanFunctions;
import com.pulumi.digitalocean.inputs.GetDedicatedInferenceAcceleratorsArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var filtered = DigitaloceanFunctions.getDedicatedInferenceAccelerators(GetDedicatedInferenceAcceleratorsArgs.builder()
            .dedicatedInferenceId(example.id())
            .filters(GetDedicatedInferenceAcceleratorsFilterArgs.builder()
                .key("slug")
                .values("gpu-h100x1-80gb")
                .build())
            .build());

    }
}

variables:
  filtered:
    fn::invoke:
      function: digitalocean:getDedicatedInferenceAccelerators
      arguments:
        dedicatedInferenceId: ${example.id}
        filters:
          - key: slug
            values:
              - gpu-h100x1-80gb

function getDedicatedInferenceAccelerators(args: GetDedicatedInferenceAcceleratorsArgs, opts?: InvokeOptions): Promise<GetDedicatedInferenceAcceleratorsResult>
function getDedicatedInferenceAcceleratorsOutput(args: GetDedicatedInferenceAcceleratorsOutputArgs, opts?: InvokeOptions): Output<GetDedicatedInferenceAcceleratorsResult>

def get_dedicated_inference_accelerators(dedicated_inference_id: Optional[str] = None,
                                         filters: Optional[Sequence[GetDedicatedInferenceAcceleratorsFilter]] = None,
                                         sorts: Optional[Sequence[GetDedicatedInferenceAcceleratorsSort]] = None,
                                         opts: Optional[InvokeOptions] = None) -> GetDedicatedInferenceAcceleratorsResult
def get_dedicated_inference_accelerators_output(dedicated_inference_id: Optional[pulumi.Input[str]] = None,
                                         filters: Optional[pulumi.Input[Sequence[pulumi.Input[GetDedicatedInferenceAcceleratorsFilterArgs]]]] = None,
                                         sorts: Optional[pulumi.Input[Sequence[pulumi.Input[GetDedicatedInferenceAcceleratorsSortArgs]]]] = None,
                                         opts: Optional[InvokeOptions] = None) -> Output[GetDedicatedInferenceAcceleratorsResult]

func GetDedicatedInferenceAccelerators(ctx *Context, args *GetDedicatedInferenceAcceleratorsArgs, opts ...InvokeOption) (*GetDedicatedInferenceAcceleratorsResult, error)
func GetDedicatedInferenceAcceleratorsOutput(ctx *Context, args *GetDedicatedInferenceAcceleratorsOutputArgs, opts ...InvokeOption) GetDedicatedInferenceAcceleratorsResultOutput

public static class GetDedicatedInferenceAccelerators 
{
    public static Task<GetDedicatedInferenceAcceleratorsResult> InvokeAsync(GetDedicatedInferenceAcceleratorsArgs args, InvokeOptions? opts = null)
    public static Output<GetDedicatedInferenceAcceleratorsResult> Invoke(GetDedicatedInferenceAcceleratorsInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetDedicatedInferenceAcceleratorsResult> getDedicatedInferenceAccelerators(GetDedicatedInferenceAcceleratorsArgs args, InvokeOptions options)
public static Output<GetDedicatedInferenceAcceleratorsResult> getDedicatedInferenceAccelerators(GetDedicatedInferenceAcceleratorsArgs args, InvokeOptions options)

fn::invoke:
  function: digitalocean:index/getDedicatedInferenceAccelerators:getDedicatedInferenceAccelerators
  arguments:
    # arguments dictionary