ModelSpec is an open, declarative specification for describing how AI models especially LLMs are deployed, served, and operated in production. It captures execution, serving, and orchestration intent to enable validation, reasoning, and automation across modern AI infrastructure.
kubernetes runtime json-schema inference autoscaling observability model-deployment model-serving declarative-config production-ai mlops ai-systems llm ai-ops gpu-inference vllm llm-deployment ai-infrastructure modelspec
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Updated
Jan 16, 2026 - Python