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 — 1.1M vs 351k delivered within the latency SLA
Latest run · 2026-09-01 20:17 UTC
Results
Sellable tok/s
- Baseline
- 2.9k
- 486.9/node
- OpenInfer
- 9.5k
- 1.6k/node
- Delta
- 3.3×
Sellable tokens
- Baseline
- 351k
- 58.4k/node
- OpenInfer
- 1.1M
- 190k/node
- Delta
- 3.3×
Peak fleet GPU (mean of every GPU)
- Baseline
- 32%
- OpenInfer
- 98%
- Delta
- +66 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-172-31-15-42
ip-172-31-17-118
ip-172-31-17-58
ip-172-31-22-222
ip-172-31-23-139
ip-172-31-24-132
ip-172-31-25-131
ip-172-31-29-119
ip-172-31-30-205
ip-172-31-30-213
ip-172-31-4-159
ip-172-31-6-46
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 | 10 | 1.5s | 26.9 |
| Qwen3.5-9B | 799ms | 42.2 | 465ms | 75.5 |
| Llama-3.2-1B-Instruct | 2.4s | 135.8 | 1.2s | 127.5 |
| Phi-4-14B | 2.4s | 39.7 | 2.2s | 45.7 |
| Gemma4-12B-IT | 760ms | 48.5 | 605ms | 55.4 |
| Qwen3-1.7B | 1.3s | 130.8 | 532ms | 166.2 |
Results
Totals and per node
| Metric | Baseline total | Per node | OpenInfer total | Per node |
|---|---|---|---|---|
| Total tokens | 808k | 135k | 1.4M | 232k |
| Aggregate tok/s | 6.7k | 1.1k | 11.6k | 1.9k |
| Requests (steps) | 16,598 | 2,766 | 7,058 | 1,176 |
| Over capacity | 12,557 | 75.7% | 100 | 1.4% |
Latency & throughput
Per model · p95 / tok-s / over-capacity
| Model | Baseline p95 / tps / over-cap | OpenInfer p95 / tps / over-cap |
|---|---|---|
| Qwen3.5-27B | 5.7s / 10 / 95.4% | 3.9s / 26.9 / 0% |
| Qwen3.5-9B | 1.1s / 42.2 / 0% | 2.1s / 75.5 / 0% |
| Llama-3.2-1B-Instruct | 3.9s / 135.8 / 30.3% | 3.1s / 127.5 / 0% |
| Phi-4-14B | 5.8s / 39.7 / 70.7% | 4.9s / 45.7 / 4.8% |
| Gemma4-12B-IT | 910ms / 48.5 / 94.4% | 2.6s / 55.4 / 3.4% |
| Qwen3-1.7B | 1.8s / 130.8 / 25.3% | 1.2s / 166.2 / 0% |
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 | 5,066 | 233 | 95.4% | 46.6k | 21.7 | 100 |
| Baseline Qwen3.5-9B | 384 | 384 | 0% | 76.8k | 14.5 | 97 |
| Baseline Llama-3.2-1B-Instruct | 1,980 | 1,380 | 30.3% | 276k | 13.2 | 89 |
| Baseline Phi-4-14B | 1,780 | 521 | 70.7% | 104k | 14.4 | 97 |
| Baseline Gemma4-12B-IT | 5,782 | 323 | 94.4% | 64.6k | 17.2 | 97 |
| Baseline Qwen3-1.7B | 1,606 | 1,200 | 25.3% | 240k | 13.1 | 89 |
| OpenInfer Qwen3.5-27B ×6 copies | 637 | 637 | 0% | 127k | 81.2 | 99 |
| OpenInfer Qwen3.5-9B ×6 copies | 607 | 607 | 0% | 121k | 81.2 | 99 |
| OpenInfer Llama-3.2-1B-Instruct ×6 copies | 1,920 | 1,920 | 0% | 384k | 81.2 | 99 |
| OpenInfer Phi-4-14B ×6 copies | 1,700 | 1,618 | 4.8% | 324k | 81.2 | 99 |
| OpenInfer Gemma4-12B-IT ×6 copies | 530 | 512 | 3.4% | 102k | 81.2 | 99 |
| OpenInfer Qwen3-1.7B ×6 copies | 1,664 | 1,664 | 0% | 333k | 81.2 | 99 |