القائمة
جمع SkillsMP عدد ٧ من skills من wikimedia/machinelearning-liftwing-inference-services. افتح أي skill لمراجعة مصدره وتفاصيله.
عرض ٧ من أصل ٧ skills مجمعة.
Triage Wikimedia ML inference-services incidents at a time T (now or past). TRIGGER on "investigate / triage / debug / post-mortem / what happened" when the subject is a LiftWing alert, ML-serve namespace, error spike, latency regression, or pod crash —…
لغة النص الأصلي: الإنجليزية
Analyze a model server's Python code and its deployment chart to identify performance bottlenecks and optimization opportunities for CPU and GPU (AMD MI300X, ROCm, vLLM) inference services on KServe. Use when you want to improve inference throughput or…
لغة النص الأصلي: الإنجليزية
Scaffold a new LiftWing ML service in operations/deployment-charts. Handles both adding to an existing namespace (append inference_services entry) and creating a brand-new namespace (full helmfile scaffold). Use when an engineer wants to deploy a new…
لغة النص الأصلي: الإنجليزية
Bump the Docker image tag for one or more LiftWing inference services in operations/deployment-charts after a new image is published by Jenkins. Use when a patch has merged in inference-services, PipelineBot has posted a new image tag on the Gerrit CL, and…
لغة النص الأصلي: الإنجليزية
Help pinpoint why a Wikimedia ML KServe/Knative InferenceService deployment is not working on ml-serve or ml-staging Kubernetes clusters.
لغة النص الأصلي: الإنجليزية
Build and run a model server locally via Docker Compose, then test it with curl. Use when the engineer wants to test a model server locally before committing.
لغة النص الأصلي: الإنجليزية
Scaffold a new KServe model server from scratch — create the model.py, Blubber config, Docker Compose service, pipeline config, and CI wiring. Use when the engineer wants to add a new inference service model to this repo.
لغة النص الأصلي: الإنجليزية