Load Test Ramjet Node

Load-test a ramjet node

Node06 access

The 2026-08-14 cooling/AC moratorium was retired on 2026-08-25 after the operator confirmed the repair. Request-generating work no longer needs a separate authorization token. Every run must still use the intake-air thermal guard, its 25-minute continuous-inference cap, fresh owner-only evidence, the common deployment lock for mutations, isolated candidate traffic, and an exact rollback path. A future cooling incident may re-arm the compatibility stop before telemetry or workload startup.

Run the smallest load test that answers the question, preserve production, and leave an identity-bound experiment record. Treat node06 as a live serving box, not a disposable benchmark host.

Load the current contract

1. Read AGENTS.md, especially its thermal-admission, benchmark, candidate, contamination, and two-TP4-pair rules.
2. Read the current snapshot in RESULTS.md and the latest relevant entries in EXPERIMENTS.md; do not compare against a remembered baseline.
3. For engine or Compose changes, also read deploy/dspark_0731/README.md and the candidate directory named by the request.
4. Run repository commands from /home/luke/inference/dspark_0731 on node06. Treat deploy/dspark_0731 in this repository as the canonical deployment source and the node copy as a synchronized execution mirror.

Admit hardware before load

Before any request-generating benchmark, capture current state from the development machine:

bash bench/capture_node06.sh node06

Before load, inspect all GPU temperatures, reported slowdown/shutdown thresholds, power, utilization, memory, topology, container identity/restarts, ramjet upstream health, driver throttling, and available BMC/facility cooling evidence. The watchdog's 50C chassis-intake ceiling is an operational abort policy, not proof that the chassis is safe. Stop before load if telemetry is missing, identities are ambiguous, cooling is unverified, a GPU is already hot/throttled, or the serving stack is unhealthy.

Never run a sustained GPU command naked. Create an owner-only journal and make the thermal watchdog the parent of the complete workload process tree:

cd /home/luke/inference/dspark_0731
install -d -o root -g root -m 0700 .experiments
experiment_id=$(date -u +%Y%m%dT%H%M%SZ)-focused-load
python3 bench/node06_gpu_guard.py \
  --label "$experiment_id" \
  --output ".experiments/${experiment_id}-thermal.jsonl" \
  -- COMMAND ARGUMENTS

Use a fresh journal for every invocation. Do not raise the 46C cool-start or 50C intake-abort defaults to make a run proceed. A telemetry failure, thermal abort, child failure, signal, or orphaned process is a failed interval.

Obtain the bearer inside the remote shell without printing it and never enable shell tracing:

export BENCH_TOKEN="$(grep -o 'Bearer [A-Za-z0-9_-]*' /etc/caddy/Caddyfile \
  | head -1 | cut -d' ' -f2)"

Select the test shape

Default to one direct TP4 engine while the healthy peer serves production. Point native metrics at the same engine and require client/native request and token reconciliation. Use fresh input namespaces for every cell.

• Infernal r11 on engine B: capture immutable engine and agent metadata in an owner-only experiment directory and run bench/candidate_gate.py --profile infernal-r11-b through smoke; resume through scout and matrix only while each prior stage is green. The gate is deliberately pinned to the exact committed r11 admission bytes; add and review a new profile before qualifying another image. It does not own engine startup or rollback.
• Direct decode TPS/TTFT: use bench/engine_matrix.sh or a focused bench/codebench.py cell with METRICS_URL set to that engine.
• Agent/tool correctness: use bench/agentbench.py with the direct engine's --engine-metrics and --require-reconciled-speculation.
• Long-prefill interference: run bench/mixed_bench.py in both prefill-first and decode-first order with fresh salts and the same engine's metrics.
• Cache working set/eviction: use bench/cachebench.py --require-reconciled; keep cells serial and use a fresh salt.
• Concurrent shared-app balance: use bench/concurrent_sameapp.sh through the load balancer.
• Context frontier: use bench/context_frontier.py; begin with one bounded cell after repair, not the historical 52/64-app cliff.

For a focused direct cell, wrap the command rather than the shell that launched the agent:

python3 bench/node06_gpu_guard.py \
  --label direct-b-code-c8 \
  --output .experiments/direct-b-code-c8-thermal.jsonl \
  -- env METRICS_URL=http://127.0.0.1:8013/metrics \
    BENCH_WORKLOAD=code \
    BENCH_REQUIRE_RECONCILED_SPECULATION=1 \
    python3 bench/codebench.py http://127.0.0.1:8013 \
      deepseek-v4-flash 256 8 1

Do not interpret a cell if production traffic reached its native counters, a container restarted, JIT appeared during measurement, request/token counts did not reconcile, or the guard journal did not finish with status=passed.

Preserve serving availability

• For direct B tests, first single-home ramjet on A and verify A health. Keep B out of every HTTP and KV endpoint list until qualification passes.
• Hold /run/lock/ramjet-node06-deployment.lock across every deployment inspect/mutate/verify interval. Recreate only the named service; never run an unscoped Compose update.
• Capture the baseline image IDs, rendered service hashes, starts, restart counts, and health before mutation. Prepare the exact rollback command first.
• Engine startup/model load/JIT is GPU work even before benchmark requests. Until a container-aware rollout owner exists, keep it isolated to one TP4 pair and monitor facility/BMC plus driver telemetry manually.
• On failure or interruption, stop further stages, restore the baseline under the common lock, and prove 2/2 health and original identities before leaving.

Use both TP4 pairs concurrently only for independent direct-engine cells after an explicitly authorized supervised single-pair re-entry has passed. Use a two-round crossover with fresh inputs to remove engine/time bias. Keep LB routing, cache-residency, exact-placement, aggregate-capacity, and eviction experiments serial because parallel work changes their measured state.

Record and decide

Record the hypothesis, one changed variable, immutable engine/LB/model identity, effective argv, workload shape, fresh input identity, request and token counts, wall time, TPS, TTFT p50/p95, TPOT when available, queue/prefill time, preemptions, KV capacity, cached-token ratio, effective speculative tokens per step, temperature/power/throttle maxima, JIT/runtime markers, contamination checks, and rollback state in EXPERIMENTS.md.

Correctness is a hard gate. Never promote from draft acceptance, cache-hit percentage, or aggregate TPS alone. Compare useful successful work plus latency against the declared threshold. Stop at the first failed gate, retain negative results, and report facts separately from inference without prompts, completions, tool arguments, credentials, raw fingerprints, or container environment dumps.