import os
from gcore import Gcore

client = Gcore(
    api_key=os.environ.get("GCORE_API_KEY"),  # This is the default and can be omitted
)
inference_flavor = client.cloud.inference.flavors.get(
    "inference-16vcpu-232gib-1xh100-80gb",
)
print(inference_flavor.cpu)

package main

import (
	"context"
	"fmt"

	"github.com/G-Core/gcore-go"
	"github.com/G-Core/gcore-go/option"
)

func main() {
	client := gcore.NewClient(
		option.WithAPIKey("My API Key"),
	)
	inferenceFlavor, err := client.Cloud.Inference.Flavors.Get(context.TODO(), "inference-16vcpu-232gib-1xh100-80gb")
	if err != nil {
		panic(err.Error())
	}
	fmt.Printf("%+v\n", inferenceFlavor.CPU)
}

curl --request GET \
  --url https://api.gcore.com/cloud/v3/inference/flavors/{flavor_name} \
  --header 'Authorization: <api-key>'

const options = {method: 'GET', headers: {Authorization: '<api-key>'}};

fetch('https://api.gcore.com/cloud/v3/inference/flavors/{flavor_name}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.gcore.com/cloud/v3/inference/flavors/{flavor_name}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

HttpResponse<String> response = Unirest.get("https://api.gcore.com/cloud/v3/inference/flavors/{flavor_name}")
  .header("Authorization", "<api-key>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.gcore.com/cloud/v3/inference/flavors/{flavor_name}")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = '<api-key>'

response = http.request(request)
puts response.read_body

{
  "cpu": 2,
  "description": "1xL40S / 16 vCPU / 232GiB RAM",
  "gpu": 1,
  "gpu_compute_capability": "8.6",
  "gpu_memory": 80,
  "gpu_model": "H100",
  "is_gpu_shared": false,
  "memory": 4,
  "name": "inference-16vcpu-232gib-1xh100-80gb"
}