3 Commits

Author	SHA1	Message	Date
jgrusewski	aabc1d95e5	fix(infra): pin workflow-trigger eventsource to platform pool ... The eventsource had no nodeSelector and landed on ci-compile-cpu (POP2-HC-32C-64G, €0.56/hr), blocking autoscaler from scaling it to 0. Now pinned to platform pool — ci-compile-cpu will autoscale down, saving ~€410/mo. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-14 09:26:31 +01:00
jgrusewski	45addfd35d	feat(infra): auto-rebuild Docker images in CI pipelines, add build-image webhook ... - Wire build-image endpoint into EventSource + Sensor for manual triggers - Add rebuild-* DAG tasks to compile-and-deploy and compile-and-train templates — Kaniko layer cache makes cached builds ~15-30s - Fix foxhunt-runtime Dockerfile: rename ubuntu user instead of groupadd (GID 1000 already exists in ubuntu:24.04) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-12 08:35:55 +01:00
jgrusewski	6ba52425ea	feat(infra): Argo workflow templates, drop cuDNN, GPU hotpath fixes ... - Add compile-and-deploy, train-dqn/ppo/supervised WorkflowTemplates - Add Argo Events (EventSource, Sensor, Service) for webhook triggers - Add NetworkPolicy for compile-and-deploy pods (MinIO/DNS/API egress) - Add convenience scripts: argo-compile-deploy.sh, argo-train.sh - Drop cuDNN feature flags from all 9 ML crates (zero conv ops in codebase) - Switch training runtime base to nvidia/cuda:12.9.1-runtime (saves ~800MB) - Delete unused selective_scan.cu (16KB, zero Rust callers) - Fix GPU hotpath violations in ml-core (NVTX, gradient utils, capabilities) - Fix clippy warnings in ml-dqn (VarMap backticks, const fn) - Add DQN GPU smoketest, backtest evaluator signal adapter fixes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-12 01:44:03 +01:00