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FlagCICD: Plugin-Based Multi-Chip Training CI/CD for the AI Agent Era (FlagOS Tech Conf 2026)

FlagOS

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FlagCICD: Plugin-Based Multi-Chip Training CI/CD for the AI Agent Era (FlagOS Tech Conf 2026)

5 просмотров · 5 ч назад
FlagOS
1,76 тыс. подписчиков
5 просмотров · 5 ч назад
When your training framework must run on many chip backends, every code change raises the same question: does it still work — and work correctly — everywhere? From the Open Compute AI Systems Forum at the 2026 FlagOS Technology Conference, this talk introduces FlagCICD, FlagOS's plugin-based training solution that turns multi-chip testing and regression validation into a continuous-integration pipeline, giving framework changes and Agent tasks automatic multi-chip test feedback. In this session: ●Core challenges of multi-chip CI/CD: heterogeneous hardware, exploding dependency combinations, long full builds, hard quality validation ●FlagCICD capabilities: unified multi-chip scheduling, layered image strategy, tiered test feedback (PR-triggered L0–L3), tolerance-based precision checking ●Statistical regression monitoring: nightly deep tests with ±3σ thresholds to separate real regressions from noise ●Vendor collaboration: a unified multi-chip CI/CD flow that folds vendor adaptation into the test-and-validation loop ●Hooking into FlagScale-Agent: Agents submit migration and optimisation tasks; FlagCICD runs tiered tests across chip environments, and returns reports with precision and performance feedback #ai #flagos #cicd #aiinfrastructure #opensource