3 Commits

Author	SHA1	Message	Date
jgrusewski	c8f2dacc5f	feat(infra): H100 smoketest pipeline — S3 output sync, sccache, registry fix ... - Fix container registry region nl-ams → fr-par across all CI jobs - Add sccache build-args to training image build (no-op fallback for local) - Add rclone to training Docker runtime for S3 output sync - Update train.sh: S3 sync on Job completion via rclone env-var config, --run-id tracking, evaluate preset for walk-forward evaluation - Add s3-credentials Secret template (.example, apply via kubectl) - Add design doc and implementation plan Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-24 21:31:22 +01:00
jgrusewski	5fb84a02f0	feat: training pipeline for all 10 ML ensemble models ... - Add standalone training binaries: TGGN, KAN, xLSTM, Diffusion (DBN data) - Update Dockerfile.training: 6 → 16 binaries (all 10 models + hyperopt + baseline) - Expand train.sh: 4 → 10 models, fix registry URL and GPU pool nodeSelector - Add GPU overlay manifests for trading-service and ml-training-service - Create training data PVC and upload pod manifests - Expand web-gateway model validation: 4 → 10 types (training + tune routes) - Extend dashboard: 10 model cards grouped by category (RL/Temporal/Graph/Generative) - Add training image build job to Gitea CI workflow - Update GPU taint controller to exclude inference pool from tainting - Fix job-template nodeSelector: gpu → gpu-training Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-24 20:47:50 +01:00
jgrusewski	4f85d0d475	infra: add training orchestrator and smoke test scripts ... - train.sh: submit GPU training K8s Jobs with presets (quick-test, single-model, full-ensemble, hyperopt) - smoke-test.sh: end-to-end verification of cluster, networking, databases, services, and node pools Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-24 14:27:50 +01:00