Files
serverAppConfigs/dankserver/frank-medium/frank-medium-healthcheck.py
T
Frank 4fca739bf8 frank-medium: deploy two single-GPU replicas — TP=2 is blocked by PCIe atomics
The radiance MXFP4 stack cannot run TP=2 on this host. RCCL's collective
kernels carry a hidden hostcall-buffer parameter, and ROCr refuses to
dispatch them on a device without PCIe atomics: the AQL dispatch fails with
hipErrorIllegalState ("the operation cannot be performed in the present
state"), which is what every two-rank collective hit. The second R9700 sits
behind the chipset bridges 05:00.0/06:09.0, which advertise
`AtomicOpsCap: Routing-` — a read-only capability, so no software can enable
atomic routing on that path and the driver's
pci_enable_atomic_ops_to_root() fails for that card. The first card, on CPU
root port 00:01.1, has atomics enabled.

Ruled out: kernel version (7.0.0-28/-30/-31 identical, after a full upgrade),
iommu=pt, P2P hardware (45.3 GB/s between the cards), the shipped librccl (a
from-source rebuild reproduces the failure at the same call path), vLLM and
pynccl (a bare two-rank torch.distributed allreduce fails the same way), all
NCCL transport knobs, and single-rank tests (NCCL short-circuits at
world_size=1, so one-card success proves nothing).

Deployment: three rootless Quadlets — frank-medium-a (:7771, card 1),
frank-medium-b (:7772, card 2), both TP=1 at 114688 context (262144 and
131072 do not fit one card's KV) with vLLM-profiled KV — and
frank-medium-proxy (:7770), a round-robin that preserves the fleet contract
of one endpoint and one served model name. frank-medium.container stays as
the TP=2 target for a host whose second card is atomic-capable; the deploy
handler does not install it and trashes any stale copy.

Measured through the proxy (vllm bench serve, random dataset, --ignore-eos):
conc 1 42.8 tok/s, conc 4 147.6 tok/s, conc 8 230.8 tok/s, 32k prefill at
~2.8k tok/s per card, TPOT p50 23.6-28.8 ms.

Also: healthcheck reads PORT so one probe serves all three units, the hermes
example and the harness models.yml drop to the real 114688 context, and the
runbook records the full evidence chain.
2026-09-16 03:47:11 -07:00

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Python
Executable File

#!/usr/bin/env python3
"""frank-medium container healthcheck: the port's /health must answer 200.
Runs INSIDE the container. The vLLM /health endpoint only answers once the
engine is up (weights loaded, cudagraphs captured), so a healthy container is
a serving container, not merely a live process. PORT selects the endpoint so
the single-GPU replicas (:7771/:7772) and the round-robin proxy (:7770) can
share this probe. The HealthCmd in the quadlet splits on spaces into an argv
array (podman 5.x v1 generator), which is why this lives in a file rather
than an inline python one-liner.
"""
import os
import sys
import urllib.request
port = os.environ.get("PORT", "7770")
try:
with urllib.request.urlopen(f"http://127.0.0.1:{port}/health", timeout=5) as r:
sys.exit(0 if r.status == 200 else 1)
except Exception:
sys.exit(1)