ai-dynamo/aisimulate

aic-auto-collect

Use when running long AIC/aiconfigurator GPU perf auto-collection for a specific GPU/framework/framework_version, including draft-PR checkpoints, resumable collect_xx.py runs, framework-version/kernel preflight, collector fixes/skips, special runtime images,…

原文语言：英语

aisimulate-fpe-performance

Design, implement, and review efficient AISimulate numerical prediction and data lookup. Use for FPE features, correctness fixes, and refactors that affect prediction algorithms, preparation, data representation, caches, or caller cost. Resolve substantial…

原文语言：英语

aisimulate-replay-performance

Design, implement, and review efficient AISimulate engine-only simulation execution. Use for replay features, correctness fixes, and refactors that affect scheduling, state transitions, event processing, or costs that scale with requests, tokens, workers, or…

原文语言：英语

adapt-server-config

Convert InferenceX DB config/benchmark pairs, Dynamo recipe YAML, or confirmed custom serving configs into validated aiconfigurator estimate requests. Use when adapting server configuration, checking whether a recipe can be estimated, generating canonical…

原文语言：英语

aisimulate-replay-parity

Runs deterministic byte-parity and golden-point qualification campaigns for AI Simulate engine-only offline replay across round-robin vLLM, SGLang, and TRT-LLM configurations, including forced preemption, retraction, handoff, and liveness coverage. Use when…

原文语言：英语