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Publish runtime v2 optimization, final comparisons and figures (weights unchanged)
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Runtime v2 — final validation results (GB10, 2026-10-31, same session, clocks 2.4 GHz, 47-65 C)

frozen_v1 = published release runtime (W4A4 + MTP, eager mHC). v2_fast = default launcher. v2_exact = MHC_MODE=exact. All W4A4 NVFP4 + MTP(3), identical flags/budgets, unique prompts (no prefix-cache hits), temp 0.

Matched workload (eval/perf_bench.py: ~1051 prompt tok, 256 out, unique prompts, 8 req/level, 2 warmup)

runtime c aggregate tok/s per-req decode tok/s p50 TTFT p50 / p90 (s) ITL p50 / p90 (ms) E2E p50 / p90 (s) out tok min-max errors
frozen_v1 1 12.0 12.4 0.74 / 0.74 81 / 87 21.3 / 22.8 256-256 0
frozen_v1 2 23.4 12.2 0.89 / 1.27 82 / 89 21.9 / 23.5 256-256 0
frozen_v1 4 42.0 12.1 1.84 / 2.78 82 / 92 22.9 / 24.4 256-256 0
frozen_v1 8 64.3 12.1 5.02 / 5.11 82 / 94 26.0 / 29.1 256-256 0
v2_fast 1 27.8 28.9 0.32 / 0.34 35 / 39 9.2 / 10.2 256-256 0
v2_fast 2 49.2 28.4 0.41 / 0.57 35 / 42 9.5 / 11.1 256-256 0
v2_fast 4 87.0 25.4 0.95 / 1.23 39 / 44 10.9 / 12.2 256-256 0
v2_fast 8 119.4 19.8 2.90 / 2.91 51 / 55 15.8 / 17.0 256-256 0
v2_exact 1 26.0 27.3 0.51 / 0.51 37 / 39 9.8 / 10.5 256-256 0
v2_exact 2 45.5 25.7 0.58 / 0.98 39 / 47 10.5 / 12.6 256-256 0
v2_exact 4 72.6 21.7 1.15 / 1.81 46 / 50 12.7 / 14.0 256-256 0
v2_exact 8 117.2 21.2 4.35 / 4.36 47 / 51 16.4 / 17.4 256-256 0

code: short interactive coding/reasoning prompt (~90 tok in, 256 out)

runtime c n aggregate tok/s per-req decode p50 TTFT p50 (ms) ITL p50 / p95 (ms) MTP accept len errors
frozen_v1 1 4 15.6 16.0 355 63 / 66 2.51 0
frozen_v1 4 8 56.3 15.0 615 67 / 70 2.45 0
frozen_v1 8 16 97.4 14.1 744 71 / 81 2.43 0
v2_fast 1 4 35.3 35.9 134 28 / 29 2.31 0
v2_fast 4 8 116.7 30.9 264 32 / 34 2.33 0
v2_fast 8 16 196.7 26.3 332 38 / 41 2.41 0
v2_exact 1 4 32.8 33.4 148 30 / 31 2.37 0
v2_exact 4 8 106.5 29.0 282 35 / 38 2.41 0
v2_exact 8 16 172.7 23.4 398 43 / 46 2.37 0

doc: long document (~4k tok in, 256 out)

runtime c n aggregate tok/s per-req decode p50 TTFT p50 (ms) ITL p50 / p95 (ms) MTP accept len errors
frozen_v1 1 4 12.8 14.3 2029 70 / 74 2.26 0
frozen_v1 4 8 36.9 12.1 5490 83 / 108 2.16 0
frozen_v1 8 16 52.4 9.0 5491 111 / 156 2.18 0
v2_fast 1 4 29.1 33.3 1111 30 / 31 2.19 0
v2_fast 4 8 69.9 25.0 4012 40 / 51 2.16 0
v2_fast 8 16 92.3 16.1 3909 62 / 85 2.16 0
v2_exact 1 4 25.6 30.6 1791 33 / 33 2.26 0
v2_exact 4 8 56.1 20.3 4736 49 / 64 2.13 0
v2_exact 8 16 70.4 14.2 7989 71 / 121 2.16 0

300-item regression (thinking off, temp 0, eval concurrency 16)

runtime ifeval gsm8k mmlu_pro humaneval tools vqa pooled truncated errors
frozen_v1 0.767 0.950 0.700 0.825 0.900 0.900 251/300 = 0.837 14 0
v2_fast 0.817 0.963 0.583 0.775 0.900 0.925 247/300 = 0.823 20 0
v2_exact 0.750 0.975 0.683 0.800 0.900 0.875 249/300 = 0.830 9 0

MMLU-Pro run-to-run spread (identical settings, no changes between reps; 60 items, 1024-token budget)

runtime runs (acc) mean truncated per run
frozen_v1 0.700, 0.700, 0.650 0.683 9, 7, 10
v2_fast 0.583, 0.717, 0.650 0.650 14, 10, 9
v2_exact 0.683 — 6
BF16 original (v1 eval) 0.650 — 13

The first v2_fast mmlu_pro result (8 losses / 1 gain vs frozen, McNemar p=0.039) did not reproduce: the same config scored 0.717 and 0.650 on reruns, and frozen itself spans 0.650-0.700. Losses are dominated by long CoT hitting the 1024-token budget; v2_fast's mean length (600-618 tok) is between frozen (572-594) and BF16 (622). Pooled 300: frozen 251, v2_exact 249, v2_fast 247 (delta -1.3 pp, bootstrap 95% CI [-4.3, +1.7]).

Greedy feature check (12 prompts: text x2, math, thinking, code x2, translate, zh, JSON, long, tool call, image)

  • v2_exact vs frozen_v1 (same validation round): 12/12 identical (tool-call function + arguments; ids are random).
  • v2_fast vs frozen_v1: 3/12 identical; all 12 outputs valid (tool call correct, image description correct, thinking present).
  • Reference variance: frozen vs frozen across rounds 10/12; frozen target-only vs frozen MTP 1/12 (decode M=1 vs verify M=4 kernels).

Startup / memory (same --mem-fraction-static 0.45)

frozen_v1 v2_fast
launch -> ready 92 s 77 s
target-verify CUDA graph capture 22.4 s, 6.16 GB 4.4 s, 1.14 GB
KV capacity (tokens) 402,460 393,742 (-2%: 0.5 GB sliced draft head)
300-item eval wall time 549 s 332 s