Benchmark telemetry
Sellable throughput under sustained load
Identical open-loop load driven at both fleets in parallel — a dedicated one-model-per-node baseline vs. OpenInfer co-locating every model on each node — measuring the tokens delivered within the latency SLA.
more sellable tokens than baseline — 943k vs 240k delivered within the latency SLA
Latest run · 2026-09-10 15:39 UTC
Results
Sellable tok/s
- Baseline
- 2k
- 333.1/node
- OpenInfer
- 7.9k
- 1.3k/node
- Delta
- 3.9×
Sellable tokens
- Baseline
- 240k
- 40k/node
- OpenInfer
- 943k
- 157k/node
- Delta
- 3.9×
Peak fleet GPU (mean of every GPU)
- Baseline
- 46.7%
- OpenInfer
- 97.8%
- Delta
- +51.1 pts
Accounting
Where every request went
Each request the arm sent is in exactly one column. Within SLA is the headline's own test over every request sent; the headline counts those finished by its second. Pace-exempt counts the requests within SLA only because a Medium or Low replica served them: the tokens-a-second pace binds only High replicas. Tier unknown counts the served requests that named no replica, held to the pace. Check is ✓ when sent plus unsent is what the schedule planned.
Baseline
| Model | Planned | Sent | Within SLA | Pace-exempt | Tier unknown | Late | Runtime 429 | Weave 429 | Hub 503 | Timed out | Client / killed | Other | Unsent | Check |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Qwen3.5-27B | None | None | None | None | None | None | None | None | None | None | None | None | None | None |
| Qwen3.5-9B | None | None | None | None | None | None | None | None | None | None | None | None | None | None |
| Llama-3.2-1B-Instruct | None | None | None | None | None | None | None | None | None | None | None | None | None | None |
| Phi-4-14B | None | None | None | None | None | None | None | None | None | None | None | None | None | None |
| Gemma4-12B-IT | None | None | None | None | None | None | None | None | None | None | None | None | None | None |
| Qwen3-1.7B | None | None | None | None | None | None | None | None | None | None | None | None | None | None |
| Total | None | None | None | None | None | None | None | None | None | None | None | None | None | None |
OpenInfer
| Model | Planned | Sent | Within SLA | Pace-exempt | Tier unknown | Late | Runtime 429 | Weave 429 | Hub 503 | Timed out | Client / killed | Other | Unsent | Check |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Qwen3.5-27B | None | None | None | None | None | None | None | None | None | None | None | None | None | None |
| Qwen3.5-9B | None | None | None | None | None | None | None | None | None | None | None | None | None | None |
| Llama-3.2-1B-Instruct | None | None | None | None | None | None | None | None | None | None | None | None | None | None |
| Phi-4-14B | None | None | None | None | None | None | None | None | None | None | None | None | None | None |
| Gemma4-12B-IT | None | None | None | None | None | None | None | None | None | None | None | None | None | None |
| Qwen3-1.7B | None | None | None | None | None | None | None | None | None | None | None | None | None | None |
| Total | None | None | None | None | None | None | None | None | None | None | None | None | None | None |
Requests completed within SLA
cumulativeNo request completed within SLA, or this report predates the count
Active concurrency over time
in-flightThroughput over time
tok/sFleet GPU utilization over time
% util, mean of every GPUError rate over time
% of sent requests, max_inflight drops excludedThis report predates the error-rate series
GPU utilization per node over time
% util, mean of the node's GPUsip-172-31-10-77
ip-172-31-15-161
ip-172-31-16-37
ip-172-31-20-102
ip-172-31-23-117
ip-172-31-24-138
ip-172-31-25-23
ip-172-31-25-232
ip-172-31-27-249
ip-172-31-4-194
ip-172-31-4-58
ip-172-31-8-104
Per model · TTFT p50 / decode tok/s per request
| Model | Baseline TTFT p50 | Baseline decode tok/s per request | OpenInfer TTFT p50 | OpenInfer decode tok/s per request |
|---|---|---|---|---|
| Qwen3.5-27B | 4.5s | 9.4 | 1.7s | 24.3 |
| Qwen3.5-9B | 868ms | 42.8 | 463ms | 73.1 |
| Llama-3.2-1B-Instruct | 3.7s | 120.7 | 1.7s | 157.5 |
| Phi-4-14B | 3.4s | 35.4 | 2s | 50.2 |
| Gemma4-12B-IT | 1s | 44.8 | 579ms | 55 |
| Qwen3-1.7B | 1.2s | 121.6 | 575ms | 169.7 |
Results
Totals and per node
| Metric | Baseline total | Per node | OpenInfer total | Per node |
|---|---|---|---|---|
| Total tokens | 956k | 159k | 1.3M | 211k |
| Aggregate tok/s | 8k | 1.3k | 10.6k | 1.8k |
| Requests (steps) | 6,038 | 1,006 | 6,435 | 1,073 |
| Over capacity | 1,256 | 20.8% | 97 | 1.5% |
Latency & throughput
Per model · p95 / tok-s / over-capacity
| Model | Baseline p95 / tps / over-cap | OpenInfer p95 / tps / over-cap |
|---|---|---|
| Qwen3.5-27B | 6.3s / 9.4 / 0% | 5.4s / 24.3 / 1% |
| Qwen3.5-9B | 1.1s / 42.8 / 0% | 2s / 73.1 / 0% |
| Llama-3.2-1B-Instruct | 5.2s / 120.7 / 0% | 3.7s / 157.5 / 0% |
| Phi-4-14B | 5.2s / 35.4 / 40.1% | 4.3s / 50.2 / 0% |
| Gemma4-12B-IT | 3.9s / 44.8 / 70.3% | 2.6s / 55 / 5.3% |
| Qwen3-1.7B | 2.2s / 121.6 / 1.6% | 1.4s / 169.7 / 3.9% |
Load balance
Requests & utilization per model
Requests admitted, Served (2xx), and GPU aggregated across the cards serving each model, for each arm the run fired. ×N copies is how many routable replicas of the model the nodes held while the arm ran; a pinned baseline arm sends each model's requests to its High replica only. Raw request counts are dominated by fast rejections under overload, so compare Served, not Requests.
| Model | Requests | Served | Over cap | Tokens | Avg GPU % | Peak GPU % |
|---|---|---|---|---|---|---|
| Baseline Qwen3.5-27B | 256 | 256 | 0% | 51.2k | 43 | 100 |
| Baseline Qwen3.5-9B | 384 | 384 | 0% | 76.8k | 38.4 | 97 |
| Baseline Llama-3.2-1B-Instruct | 1,820 | 1,820 | 0% | 364k | 33 | 83 |
| Baseline Phi-4-14B | 1,400 | 838 | 40.1% | 168k | 46.6 | 96 |
| Baseline Gemma4-12B-IT | 960 | 285 | 70.3% | 57k | 29.3 | 96 |
| Baseline Qwen3-1.7B | 1,218 | 1,199 | 1.6% | 240k | 13.7 | 90 |
| OpenInfer Qwen3.5-27B ×6 copies | 603 | 597 | 1% | 119k | 76.1 | 98 |
| OpenInfer Qwen3.5-9B ×6 copies | 486 | 486 | 0% | 97.2k | 76.1 | 98 |
| OpenInfer Llama-3.2-1B-Instruct ×6 copies | 1,760 | 1,760 | 0% | 352k | 76.1 | 98 |
| OpenInfer Phi-4-14B ×6 copies | 1,460 | 1,460 | 0% | 292k | 76.1 | 98 |
| OpenInfer Gemma4-12B-IT ×6 copies | 551 | 522 | 5.3% | 104k | 76.1 | 98 |
| OpenInfer Qwen3-1.7B ×6 copies | 1,575 | 1,513 | 3.9% | 303k | 76.1 | 98 |