NVIDIA Inference Stack Optimization Boosts Speed

zhyncs42 · x · 2026-07-16

This post introduces an inference optimization solution tailored for NVIDIA platforms.

Key points include:

• Integrating Colfax Research's FA4 prefill kernel
• Using a CuteDSL-based decoding kernel
• Supporting MTP on B200, achieving 355 tokens/user with TP4 + MTP
• The original post mentions having a Day-0 support partner and promises further optimizations

Overall, this is a technical update on inference stacks, kernel optimizations, and throughput improvements, rather than just product marketing.

Original post →

More from Infra

• LLM Serving Metrics Thread: Why TPOT and Uptime Make or Break User Experience — abhijithneil · 2026-09-11
• PlanetScale launches sharded Postgres: 768 servers acting as one, 1PB scale — dhruv2038 · 2026-09-11
• Can a 7900 XTX 24GB run Qwen locally? Reddit seeks ROCm tok/s benchmarks — thenomadexplorerlife · 2026-09-11
• RTK Terminal Compression Cuts Tokens but Leaves Your AI Coding Bill Unchanged — Bartaseth · 2026-09-11
• SF Compute founder: buying compute is 'an absolutely awful experience' right now — IgorCarron · 2026-09-11
• SmolVM open-sources persistent computer infrastructure for agents that outlive chat sessions — aniketmaurya · 2026-09-11

Infra channel →