InferenceXbySemiAnalysis logo
HomeDashboardComparisonsSupportersArticlesAbout
Star1,029

Articles

Insights on AI inference benchmarking, GPU performance, and ML infrastructure.

Allamdannouncementb200benchmarkdeepseekdisaggdynamofp4gb200gb300glm5gpuh100h200inferencekimimi355xminimaxnvfp4nvidianvl72qwenrocmsglangtrtllmvllmwide-ep
May 26, 2026·12 min read

B200 NVFP4 vs H200 FP8 on GLM-5: Up to 3.65x Better Performance per Dollar with SGLang MTP

Both SKUs run SGLang EAGLE MTP; the Blackwell generation lifts perf/$ by ~1.2x at the peak and the NVIDIA GLM-5-NVFP4 checkpoint on FlashInfer TRT-LLM sparse MLA stacks another ~2.4–3.0x on 8K/1K

benchmarkgpuinferenceglm5nvidiab200h200sglangfp4
May 26, 2026·13 min read

B200 NVFP4 vs H200 INT4 on Kimi K2.5/K2.6: Up to 2.95x Better Performance per Dollar

On vLLM 8K/1K the NVFP4 path on B200 is 2.71x–2.95x cheaper per million tokens than H200 INT4 across the entire 30–90 tok/s/user serving band, and 2.45x–2.74x cheaper than B200 INT4 on the same silicon. Both factors decompose cleanly into B200's HBM bandwidth, HBM capacity, and NVFP4 tensor cores

benchmarkgpuinferencekiminvidiab200h200vllmnvfp4
SemiAnalysis logo

Continuous open-source inference benchmarking. Real-world, reproducible, auditable performance data trusted by trillion dollar AI infrastructure operators like OpenAI, Meta, Oracle, Microsoft, etc.

SemiAnalysisMain SiteNewsletterAbout
LegalLand AcknowledgementPrivacy PolicyCookie Policy
ContributeBenchmarksFrontend
MoreGPU ReliabilityPerformance per Dollar

If this data helps your work, consider starring us on GitHub or sharing with your network.

© 2026 semianalysis.com. All rights reserved.