feat(blog): B200 NVFP4 vs H100 FP8 on MiniMax-M2.5 — up to 8.2x better perf/$

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Summary

• New blog post comparing B200 vLLM NVFP4 vs H100 vLLM FP8 on MiniMax-M2.5 8K/1K (GHA run 26306422380, measured 2026-05-22).
• Headline: up to 8.2x better performance per dollar at 110 tok/s/user (H100 $0.74/M vs B200 NVFP4 $0.091/M); lift grows monotonically from 4.0x at 22 tok/s/user as H100's curve falls off faster than B200 NVFP4's at high interactivity.
• Decomposes at the peak into a 2.94x generation step (Blackwell vs Hopper at FP8) and a 2.77x precision step (B200 FP8 → B200 NVFP4), unlocked by vllm-project/vllm #36307 — the trtllm-gen FP8 MoE modular kernel that finally accepts MiniMax's routing-logits dtype.
• On-Paper Specs section grounds the gap in silicon: B200 has 2.27x more FP8 compute, 4.55x more FP4 compute than H100 has FP8 compute, and 2.39x more HBM bandwidth at 1.50x the TCO. Silicon ceiling 1.51x–3.03x; measured 8.2x is ~2.7x above that, the gap is the kernel.
• Quality benchmarks figure (new): MiniMax M2.5 vs Claude Opus 4.5/4.6 / Gemini 3 Pro / GPT-5.2 on SWE-Bench family + Terminal Bench + VIBE-Pro. Within 1–4 points of Opus across the board, leads on Multi-SWE-Bench.
• MoE kernel comparison figure (supplementary, 1K/1K) showing trtllm vs deep_gemm vs triton MoE backends on B200.
• M2.7 transferability called out in body and chart captions.
• ‘What's Next’ honestly notes wide-EP on NVL72 is NOT the right next lever for a 10B-active model — points at B300 NVFP4, FP4 KV cache, MTP instead.

Test plan

• Vercel preview renders at `/blog/b200-minimax-m2-5-vllm-nvfp4-vs-h100-fp8-perf-per-dollar`
• Hero benchmark, GPU-specs radar, quality-benchmarks, and MoE-kernel-comparison `` blocks render in both themes (same image is in both light + dark slots — drop real dark exports later if desired)
• Iso-interactivity table values match the live cost view for spot-checked rows (22 / 50 / 80 / 110)
• OG image generates
• Sitemap + RSS pick up the new slug
• FAQ JSON-LD passes a schema validator

🤖 Generated with Claude Code

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Note

Low Risk
Content-only MDX addition; no application logic, auth, or data-path changes.

Overview
Adds a new InferenceX blog article at packages/app/content/blog/b200-minimax-m2-5-vllm-nvfp4-vs-h100-fp8-perf-per-dollar.mdx comparing B200 vLLM NVFP4 vs H100 vLLM FP8 on MiniMax-M2.5 at 8K/1K (2026-05-22 run), with headline up to ~8.2× better perf/$ at iso-interactivity and a decomposition into ~2.94× generation (FP8) plus ~2.77× precision (NVFP4), tied to vLLM PR #36307 (modular trtllm-gen FP8 MoE kernel for MiniMax routing).

The post includes benchmark and cost tables, iso-interactivity perf/$ analysis, Figure assets (throughput, GPU-specs radar, coding-quality bars, MoE-kernel comparison), DashboardCTA links to the filtered InferenceX views, and FAQPage JSON-LD for SEO.

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