docs(esh-ml1): speed A/B vs fv-ml1 — single queries a wash, bulk 3-10x slower; stay failover-only
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@@ -42,6 +42,29 @@ The cross-site difference is inside each site's own run-to-run noise; this
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method cannot resolve a cosine gap below ~2×10⁻⁴. Reranker scores differed by
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at most 0.000145 (FV-vs-FV floor 0.000181), with identical ranking.
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**Speed vs fv-ml1, measured 2026-09-25 0628–0640 PT** (same vLLM v0.24.0 and
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flags; fv-ml1 GPU 1 is shared with other seats but read 0% util before and
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after; synthetic text; each cell = median of 6 reps = 2 interleaved runs × 3):
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| workload | on-box FV | on-box ESH | from ana-docker FV | from ana-docker ESH |
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|---|---|---|---|---|
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| embed 1 query, p50 | ~12 ms | ~9 ms | ~29 ms | ~23 ms |
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| embed 1 × ~512 tok, p50 | ~15 ms | ~23 ms | ~31 ms | ~31 ms |
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| embed 1 × ~2k tok, p50 | ~25 ms | ~86 ms | ~48 ms | ~90 ms |
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| bulk embed, passages/s (64×512 tok, conc 4) | ~403 | ~50 | ~374 | ~51 |
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| rerank 20 docs, p50 | ~51 ms | ~170 ms | ~82 ms | ~175 ms |
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| rerank 20 docs, req/s at conc 8 | ~55 | ~5.7 | ~52 | ~5.9 |
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Read it as: **single queries are a wash** (ESH is ~6 ms faster from the gateway
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because it is closer — 6 ms RTT vs 17.6 ms), **anything bulk is 3–10× slower**
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on the 50 W Ada. Noise floor (run vs run, same site): ~3–5% on throughput, ±3 ms
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on small-query latency on fv-ml1, so the small-query rows cannot rank the sites.
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Positive control: 2k-token inputs were slower than 512-token ones on both
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sites. One fv-ml1 rep of the gateway-vantage rerank burst stalled to 1.0 req/s
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(64 requests in ~64 s); it did not recur in 11 other reps — unexplained, n=1.
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**Consequence: keep esh-ml1 as failover, don't load-share** — sharing would
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roughly double rerank latency for half the fleet's calls.
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**VRAM:** 0.20 × 16,380 MiB each; 4,823 MiB in use with both loaded, ~11 GB
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free.
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