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tomasz-syn-grzegorza 359afb3a59 Initial import: bare-metal stacks, Server UI, GPU fan, tutorials.
Infrastructure configs for GMKtec K11 (Docker, vLLM, LocalAI, ComfyUI,
control-plane, gpu-fan agent, Server UI with CLI/file explorer/GPU fan curve).

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-07-05 12:02:04 +00:00

70 lines
2.0 KiB
Python

"""Query GPU stats via nvidia-smi."""
from __future__ import annotations
import json
import shutil
import subprocess
from typing import Any
class GpuInfoError(RuntimeError):
pass
def query_gpu() -> dict[str, Any]:
if not shutil.which("nvidia-smi"):
return {
"available": False,
"error": "nvidia-smi not found",
"gpus": [],
}
try:
result = subprocess.run(
[
"nvidia-smi",
"--query-gpu=index,name,memory.used,memory.total,temperature.gpu,utilization.gpu",
"--format=csv,noheader,nounits",
],
capture_output=True,
text=True,
timeout=15,
check=False,
)
except subprocess.TimeoutExpired as exc:
raise GpuInfoError("nvidia-smi timed out") from exc
if result.returncode != 0:
return {
"available": False,
"error": (result.stderr or result.stdout or "nvidia-smi failed").strip(),
"gpus": [],
}
gpus: list[dict[str, Any]] = []
for line in result.stdout.strip().splitlines():
parts = [p.strip() for p in line.split(",")]
if len(parts) < 6:
continue
idx, name, mem_used, mem_total, temp, util = parts[:6]
try:
used_mb = int(float(mem_used))
total_mb = int(float(mem_total))
except ValueError:
used_mb = 0
total_mb = 0
gpus.append(
{
"index": int(idx),
"name": name,
"memory_used_mb": used_mb,
"memory_total_mb": total_mb,
"memory_used_pct": round(100 * used_mb / total_mb, 1) if total_mb else 0,
"temperature_c": int(float(temp)) if temp not in ("N/A", "") else None,
"utilization_pct": int(float(util)) if util not in ("N/A", "") else None,
}
)
return {"available": True, "error": None, "gpus": gpus}