model-serving-kubernetes
bybagelhole· 59 skills
Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. Includes canary deployments, autoscaling, model versioning, A/B testing, and GPU resource management for production model serving.
How to install model-serving-kubernetes?
bagelhole/devops-security-agent-skills/model-serving-kubernetes
$npx -y skills add bagelhole/devops-security-agent-skills --skill model-serving-kubernetesInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/bagelhole/devops-security-agent-skills" --skill "bagelhole/devops-security-agent-skills/model-serving-kubernetes"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/bagelhole/devops-security-agent-skills" that are relevant to the current task. Run `npx skills add "https://github.com/bagelhole/devops-security-agent-skills"` and select the relevant skills, then follow their instructions.
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