{
  "workload": "training",
  "instance": "gpu-48gb-v1",
  "concurrency": 2,
  "command": "python train.py --epochs 10 --batch-size 32",
  "environment": {
    "PYTHONPATH": "/app",
    "ENV": "sandbox"
  },
  "storage": {
    "type": "s3",
    "path": "s3://your-bucket/dataset",
    "read_only": true
  },
  "resources": {
    "gpus": 1,
    "cpu_cores": 8,
    "memory_gb": 64
  },
  "notifications": {
    "callback_url": "https://your-callback.example.com/jobs",
    "on_completion": true
  },
  "metadata": {
    "project": "example-training",
    "contact_email": "you@example.com",
    "source": "developer-quickstart-sample"
  }
}