Building CI/CD Pipelines for GPU Validation

Short summary

An original framework (TRACE) for building CI/CD pipelines that validate software across diverse GPU configurations, addressing test planning, hardware scheduling, artifact traceability, failure classification, and evidence-based quality gates. The author explains why GPU validation differs fundamentally from conventional CI/CD due to expensive, limited hardware and multi-dimensional test matrices. Includes a concrete pipeline architecture and YAML-style plan examples.

• •Introduces TRACE architecture: Test planning, Resource matching, Artifact traceability, Classification, Evidence-based gates
• •Explains why GPU validation requires multi-dimensional matrices across GPU families, drivers, OSes, and APIs
• •Provides concrete pipeline flow and machine-readable test plan examples

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