{
  "$schema": "benchmark/machine-specs.v1",
  "hardware": {
    "cpu": {
      "architecture": "x86_64",
      "cores_logical": 256,
      "cores_physical": 128,
      "model": "x86_64 datacenter host (dual-socket, reference config)"
    },
    "gpu": [
      {
        "compute_capability": "sm_80",
        "cuda_version": "12.x",
        "memory_gb": 40,
        "model": "NVIDIA A100"
      }
    ],
    "ram_gb": 1024
  },
  "hostname": "datacenter-gpu-server",
  "machine_id": "a100",
  "notes": "8-GPU datacenter server (Ampere sm_80), ~320 GB aggregate GPU memory \u2014 the multi-GPU serving / frontier-model readiness lane where single-box memory ceilings stop binding. The eight Ampere GPUs are the spec'd hardware; host CPU/RAM are the standard reference config (verify at onboarding). Benchmark RUNS attach under the private 'dgx' machine id (kept off the public export); this 'a100' record is the public-facing rollup (no operator identity).",
  "os": {
    "name": "Linux"
  },
  "registered_at": "2026-06-22T00:00:00Z",
  "role": "bench-node",
  "runtime": {
    "cuda_driver_version": "12.x"
  },
  "tags": [
    "x86_64",
    "cuda",
    "ampere",
    "multi-gpu",
    "bench-node",
    "serving-lane"
  ]
}
