localairecipes launch configs for local inference

Benchmarks

We don’t run our own benchmark harness. Speeds on this site are reported — they come from recipe submitters and imported run files. The community benchmarks local LLM serving with llm-inference-bench; recipe-level speeds stay on each recipe’ detail page.

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✓ CMP 170HX 64GB (Ampere) (6)CMP 170HX 64GB (Ampere): Any2 cards (6)
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GLM-5.3-Flash (6 runs)

RunHeadlineModelLayoutHardwareDateTier
llm-inference-bench 0.8.041.5 tok/sGLM-5.3-Flashlayout: tp ×TP2 on 2x CMP170HX 64GiB, 4 active sequencesNVIDIA CMP 170HX ×2 (Ampere)13 d agospot-checkview run
llm-inference-bench 0.8.043.2 tok/sGLM-5.3-Flashlayout: tp ×TP2 on 2x CMP170HX 64GiB, 4 active sequencesNVIDIA CMP 170HX ×2 (Ampere)13 d agospot-checkview run
llm-inference-bench 0.8.041.7 tok/sGLM-5.3-Flashlayout: tp ×TP2 on 2x CMP170HX 64GiB, 4 active sequencesNVIDIA CMP 170HX ×2 (Ampere)13 d agospot-checkview run
llm-inference-bench 0.8.0—GLM-5.3-Flashlayout: tp ×TP2 on 2x CMP170HX 64GiB, 4 active sequencesNVIDIA CMP 170HX ×2 (Ampere)13 d agospot-checkview run
llm-inference-bench 0.8.0—GLM-5.3-Flashlayout: tp ×TP2 on 2x CMP170HX 64GiB, 4 active sequencesNVIDIA CMP 170HX ×2 (Ampere)13 d agospot-checkview run
llm-inference-bench 0.8.0—GLM-5.3-Flashlayout: tp ×TP2 on 2x CMP170HX 64GiB, 4 active sequencesNVIDIA CMP 170HX ×2 (Ampere)13 d agospot-checkview run

Run files

Newest 50 imported benchmark runs — every row links its full run report. Unattached runs (no recipe) show here too.

datetoolmodellayouttierheadlinerun
2026-10-17llm-inference-bench 0.8.0GLM-5.3-Flashtp ×TP2 on 2x CMP170HX 64GiB, 4 active sequencesspot-check41.5 tok/sview run
2026-10-17llm-inference-bench 0.8.0GLM-5.3-Flashtp ×TP2 on 2x CMP170HX 64GiB, 4 active sequencesspot-check43.2 tok/sview run
2026-10-17llm-inference-bench 0.8.0GLM-5.3-Flashtp ×TP2 on 2x CMP170HX 64GiB, 4 active sequencesspot-check41.7 tok/sview run
2026-10-17llm-inference-bench 0.8.0GLM-5.3-Flashtp ×TP2 on 2x CMP170HX 64GiB, 4 active sequencesspot-check—view run
2026-10-17llm-inference-bench 0.8.0GLM-5.3-Flashtp ×TP2 on 2x CMP170HX 64GiB, 4 active sequencesspot-check—view run
2026-10-17llm-inference-bench 0.8.0GLM-5.3-Flashtp ×TP2 on 2x CMP170HX 64GiB, 4 active sequencesspot-check—view run

Submit a benchmark

Run llm-inference-bench or tool-eval-bench against your rig? Post the run file — it gets a permanent run-report page and (when attached) feeds the measured boards.

Submit as a person

Upload or paste the run file through the web form.

Submit a benchmark →

Submit as a bot

POST /api/v1/benchmarks with a write:benchmarks key.

Bot API: submit runs

Benchmark sources

Local Inference Lab

Independent nonprofit — open kernels, tools, benchmarks, and research for AI inference on hardware you control. Its llm-inference-bench is the best benchmarking tool for local LLM serving — it produces the run files behind most community speed numbers, and results get posted in their Discord.

Website · llm-inference-bench · Releases · GitHub org · Discord · Docker launcher · Benchmarks · Hugging Face · X

Artificial Analysis

Independent model benchmarks — source of the AI Intelligence Index values shown on our leaderboard.

Website

Engine docs (vLLM, SGLang) and community links live on the Helpful Links page.