{
  "status": "proposed Runpod resource requests, not recovered historical allocations",
  "comfyui_commit": "944386c233e02eaf877b1c8d5d513fb3d3a4d5e3",
  "runtime": "Linux GPU image with a mutually supported CUDA driver, PyTorch and ComfyUI dependency set; pin image digest after smoke validation",
  "profiles": [
    {
      "id": "dev-24gb",
      "gpu": "NVIDIA GeForce RTX 4090",
      "gpu_count": 1,
      "vram_gb": 24,
      "minimum_vcpu": 8,
      "minimum_host_ram_gb": 64,
      "container_disk_gb": 50,
      "persistent_model_disk_gb": 200,
      "use": "Memory-constrained development; FP8/offload or smaller model. The default FP16 14B graph is not a fit guarantee.",
      "precision": "explicitly replace model file and validate before use"
    },
    {
      "id": "worker-48gb",
      "gpu": "NVIDIA L40S",
      "gpu_count": 1,
      "vram_gb": 48,
      "minimum_vcpu": 16,
      "minimum_host_ram_gb": 96,
      "container_disk_gb": 50,
      "persistent_model_disk_gb": 300,
      "use": "Candidate 480p I2V single-job worker; profile peak VRAM and offload as necessary.",
      "precision": "default graph FP16 diffusion / FP8 text encoder"
    },
    {
      "id": "validation-80gb",
      "gpu": "NVIDIA A100 80GB",
      "gpu_count": 1,
      "vram_gb": 80,
      "minimum_vcpu": 16,
      "minimum_host_ram_gb": 128,
      "container_disk_gb": 50,
      "persistent_model_disk_gb": 300,
      "use": "Initial FP16 diffusion baseline and profiling; acceptance still requires a measured run.",
      "precision": "default graph FP16 diffusion / FP8 text encoder"
    }
  ],
  "shared": {
    "generation_concurrency": 1,
    "cpu_encode_processes": 2,
    "model_load_readiness_required": true,
    "public_comfyui_port": false,
    "output_storage": "durable object store outside Pod lifecycle",
    "record": [
      "pod_id",
      "gpu_name",
      "GPU_UUID",
      "driver_version",
      "torch_version",
      "cuda_version",
      "image_digest",
      "vcpu_allocation",
      "host_ram_bytes",
      "model_sha256",
      "workflow_sha256",
      "peak_vram_bytes",
      "cold_start_ms",
      "generation_ms"
    ]
  }
}