llm-serving-auto-benchmark
CommunityBenchmark LLM serving across frameworks
AuthorBBuf
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Cross-framework benchmarking of LLM serving stacks identifies the best deployment for a given model and workload.
Core Features & Use Cases
- Framework-agnostic evaluation across SGLang, vLLM, and TensorRT-LLM on identical workloads.
- Config-driven workflow that records framework versions, help outputs, server/benchmark commands, and artifact paths for fair comparisons.
- Produces a cross-framework summary with best commands per framework and ranked results.
Quick Start
Run a cross-framework benchmark plan using the cookbook configs and validator tools to generate a normalized results report.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: llm-serving-auto-benchmark Download link: https://github.com/BBuf/AI-Infra-Auto-Driven-SKILLS/archive/main.zip#llm-serving-auto-benchmark Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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