record max batched tokens 32768 experiment
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@@ -1107,3 +1107,42 @@ _PROF_TRACE = os.environ.get("PROF_TRACE", "0") == "1"
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- profiling 仍可通过 `PROF_TRACE=1` 手动开启。
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下一步继续看 MoE routed expert 和 TP all-reduce;服务日志中 decode 稳态仍约 5.8 tok/s,说明专家计算/通信路径仍是核心。
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## 2026-07-15:max_num_batched_tokens=32768 实验
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### 配置
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在 no-prof 代码基础上,仅把:
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```text
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--max-num-batched-tokens 16384
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```
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改为:
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```text
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--max-num-batched-tokens 32768
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```
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其余保持 100K 快速基线一致。此前 32768 发生过 OOM,但这次在清理残留 worker 和显存后可正常启动,说明之前 OOM 不能作为参数不可行的证据。
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### 结果
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本地归档:
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- `worklogs/remote_results/2026-07-15-official-like-baseline/eager_100k_b32768_c1_r8_t256_cap40k.json`
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| 指标 | 100K 基线 | no-prof 16384 | no-prof 32768 | 目标 |
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| --- | ---: | ---: | ---: | ---: |
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| Success Rate | 100.00% | 100.00% | 100.00% | >= 99% |
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| Cache Hit Rate | 74.17% | 74.17% | 74.17% | >= 50% |
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| TTFT P90 | 9.803s | 12.739s | 13.005s | <= 5s |
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| Output TPS P10 | 5.825 | 5.851 | 5.895 | >= 20 |
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| Aggregate Output TPS | 5.789 | 5.674 | 5.556 | - |
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| Uncached Input TPS | 178.330 | 169.148 | 173.430 | - |
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| Cache TPS | 512.015 | 485.652 | 497.947 | - |
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| Weighted Throughput | 883.109 | 840.712 | 857.595 | >= 8000 |
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### 结论
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32768 可以启动,但没有带来总体收益;Output TPS P10 略升,TTFT 继续变差,综合吞吐仍低于原 100K 基线。单纯扩大 chunk 不是主优化方向。下一步尝试 8192,验证更小 chunk 是否能改善 TTFT。
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@@ -0,0 +1,124 @@
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{
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"created_at": "2026-07-14T20:56:29",
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"url": "http://127.0.0.1:1111",
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"model": "llm",
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"dataset": "/root/work/logs/synthetic_cumulative_8_s3_cap40k.jsonl",
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"concurrency": 1,
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"max_requests": 8,
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"max_tokens": 256,
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"wall_sec": 335.87523818574846,
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"success_rate": 1.0,
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"ttft_p90_sec": 13.004944081977008,
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"output_tps_p10_per_request": 5.8948614972894635,
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"aggregate_output_tps": 5.555634318502662,
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"aggregate_input_tps_uncached": 173.43046874978486,
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"aggregate_cache_tps": 497.94679983972844,
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"cache_hit_rate": 0.7416795639891973,
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"weighted_token_throughput": 857.5945239544665,
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"totals": {
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"requests": 8,
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"success": 8,
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"prompt_tokens": 225499,
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"input_tokens_uncached": 58251,
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"cached_tokens": 167248,
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"completion_tokens": 1866,
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"reasoning_tokens": 1731
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},
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"targets": {
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"output_tps_p10_per_request_gte_20": false,
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"ttft_p90_lte_5": false,
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"cache_hit_rate_gte_50pct": true,
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"success_rate_gte_99pct": true,
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"weighted_token_throughput_gte_8000": false
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},
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"results": [
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{
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"ok": true,
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"elapsed_sec": 27.413454679772258,
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"ttft_sec": 7.43462404422462,
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"prompt_tokens": 7498,
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"cached_tokens": 0,
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"completion_tokens": 168,
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"reasoning_tokens": 82,
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"output_tps": 8.40890055402359,
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"error": null
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},
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{
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"ok": true,
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"elapsed_sec": 49.30410090461373,
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"ttft_sec": 22.904547728598118,
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"prompt_tokens": 34177,
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"cached_tokens": 7488,
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"completion_tokens": 162,
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"reasoning_tokens": 113,
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"output_tps": 6.136467497002161,
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"error": null
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},
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{
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"ok": true,
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"elapsed_sec": 45.20640793628991,
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"ttft_sec": 2.946982776746154,
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"prompt_tokens": 35384,
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"cached_tokens": 34160,
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"completion_tokens": 256,
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"reasoning_tokens": 256,
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"output_tps": 6.05782021486361,
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"error": null
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},
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{
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"ok": true,
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"elapsed_sec": 38.86536529287696,
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"ttft_sec": 8.762256804853678,
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"prompt_tokens": 19274,
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"cached_tokens": 7472,
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"completion_tokens": 256,
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"reasoning_tokens": 256,
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"output_tps": 8.504105152524406,
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"error": null
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},
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{
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"ok": true,
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"elapsed_sec": 46.21588536910713,
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"ttft_sec": 3.327174164354801,
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"prompt_tokens": 37099,
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"cached_tokens": 35376,
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"completion_tokens": 256,
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"reasoning_tokens": 256,
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"output_tps": 5.968936645772505,
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"error": null
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},
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{
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"ok": true,
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"elapsed_sec": 35.56211626343429,
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"ttft_sec": 5.644598634913564,
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"prompt_tokens": 14661,
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"cached_tokens": 7472,
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"completion_tokens": 256,
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"reasoning_tokens": 256,
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"output_tps": 8.556859669264544,
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"error": null
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},
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{
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"ok": true,
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"elapsed_sec": 46.31439816579223,
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"ttft_sec": 3.116101799532771,
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"prompt_tokens": 38199,
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"cached_tokens": 37088,
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"completion_tokens": 256,
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"reasoning_tokens": 256,
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"output_tps": 5.926159629756877,
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"error": null
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},
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{
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"ok": true,
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"elapsed_sec": 46.98421955294907,
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"ttft_sec": 3.0118106845766306,
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"prompt_tokens": 39207,
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"cached_tokens": 38192,
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"completion_tokens": 256,
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"reasoning_tokens": 256,
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"output_tps": 5.821832521532164,
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"error": null
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}
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]
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}
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