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Optimization technique

Channelwise FP8, measured selective-layer recipe: measured speed and accuracy on open models

Selective-layer channelwise FP8 keeps the published sensitive paths at higher precision while quantizing the remaining eligible layers.

We measured 1 published package across 1 GPU target, using the recorded baseline and optimized conditions.

The selective recipe exists because a measured per-layer search found which paths lose accuracy under FP8, so those stay in higher precision while the rest converts.

The published pairs set the limit

We show absolute baseline and optimized values before the shared verdict. We keep each condition attached to its result.

Published baseline and optimized runs at their recorded profiles, concurrency, and benchmark basis
ModelTargetThroughputMedian latencyVerdict and conditionsAccuracyPrice and date
Qwen3.6 27BQwen/Qwen3.6-27BH100vLLM 0.25.1361 tokens/s baseline465 tokens/s optimized2857 ms p50 baseline2215 ms p50 optimized1.28x faster.baseline used request profile chat-128, concurrency 8, and measured basis; optimized used request profile chat-128, concurrency 8, and measured basis.Baseline 0.5754, optimized 0.5747.gsm8k 99.87% recovery, passedStandard errors not published.$40Verified Jul 25, 2026

Throughput changes by model

We restate the published throughput pairs. The neutral fills do not declare a winner.

Qwen3.6 27B

Baseline361 tokens/s
Optimized465 tokens/s

1.28x faster.

Output tokens per second under each package's recorded request profile and concurrency

Accuracy, honestly

We do not call a score change an improvement when the gap is smaller than about twice the combined standard errors.

Qwen3.6 27B measured 0.5754 at baseline and 0.5747 optimized on gsm8k exact_match strict (N=1319, completion protocol). Measured difference, significance not published. The optimized score measured below the baseline, at 99.87% of it. Neither score published a standard error, so this difference cannot be separated from sampling noise. The difference is not stated as a regression. Standard errors not published.

What is not measured

Tasks beyond gsm8k exact_match strict (N=1319, completion protocol) not published.

GPUs beyond H100 not published.

Serving engines beyond vLLM 0.25.1 not published.

Questions buyers ask

Does using Channelwise FP8, measured selective-layer recipe hurt accuracy on these models?+

We tie each accuracy verdict to its published task metric. Qwen3.6 27B: Throughput measured 361 tokens/s at baseline and 465 tokens/s optimized. P50 latency measured 2857 ms at baseline and 2215 ms optimized. 1.28x faster. Qwen3.6 27B measured 0.5754 at baseline and 0.5747 optimized on gsm8k exact_match strict (N=1319, completion protocol). Measured difference, significance not published. Standard errors not published. baseline used request profile chat-128, concurrency 8, and measured basis; optimized used request profile chat-128, concurrency 8, and measured basis. Verified Jul 25, 2026.

What does using Channelwise FP8, measured selective-layer recipe buy on H100?+

We compare throughput and p50 latency under the recorded conditions. Qwen3.6 27B: Throughput measured 361 tokens/s at baseline and 465 tokens/s optimized. P50 latency measured 2857 ms at baseline and 2215 ms optimized. 1.28x faster. Qwen3.6 27B measured 0.5754 at baseline and 0.5747 optimized on gsm8k exact_match strict (N=1319, completion protocol). Measured difference, significance not published. Standard errors not published. baseline used request profile chat-128, concurrency 8, and measured basis; optimized used request profile chat-128, concurrency 8, and measured basis. Verified Jul 25, 2026.

Which open models were measured with Channelwise FP8, measured selective-layer recipe?+

Qwen3.6 27B are the published models on this page. Qwen3.6 27B: Throughput measured 361 tokens/s at baseline and 465 tokens/s optimized. P50 latency measured 2857 ms at baseline and 2215 ms optimized. 1.28x faster. Qwen3.6 27B measured 0.5754 at baseline and 0.5747 optimized on gsm8k exact_match strict (N=1319, completion protocol). Measured difference, significance not published. Standard errors not published. baseline used request profile chat-128, concurrency 8, and measured basis; optimized used request profile chat-128, concurrency 8, and measured basis. Verified Jul 25, 2026.

What remains unmeasured for Channelwise FP8, measured selective-layer recipe?+

Qwen3.6 27B: Throughput measured 361 tokens/s at baseline and 465 tokens/s optimized. P50 latency measured 2857 ms at baseline and 2215 ms optimized. 1.28x faster. Qwen3.6 27B measured 0.5754 at baseline and 0.5747 optimized on gsm8k exact_match strict (N=1319, completion protocol). Measured difference, significance not published. Standard errors not published. baseline used request profile chat-128, concurrency 8, and measured basis; optimized used request profile chat-128, concurrency 8, and measured basis. Verified Jul 25, 2026. Tasks beyond gsm8k exact_match strict (N=1319, completion protocol) not published. GPUs beyond H100 not published. Serving engines beyond vLLM 0.25.1 not published.

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RunInfraby RightNow

© 2026 RunInfra. All rights reserved.

System status
Pipeline BuilderModelsPricingStartupsBenchmarksDocsResearchNewsContact
Backed by
YCombinator
AICPA Type II
SOC 2
NVIDIA Inception ProgramNVIDIA Inception Program
Ask AI about RunInfra
Part of RightNow
SecurityDPAAUPCookiesTermsPrivacy