jgrusewski 10d81b0703 infra(kapsule): consolidate CI builds onto H100 gpu-training pool ...

Remove orphaned `ci` pool (GP1-XS, 4 vCPU wasted — nothing scheduled to it).
Remove `ci-build` pool (GP1-M) — builds now run on gpu-training (H100-1-80G:
24 vCPU, 240GB, real CUDA). This eliminates the need for CUDA stubs,
separate test-gpu jobs, and ml crate exclusions.

Pool layout after:
  always-on    DEV1-M        (core services, always on)
  gitlab       GP1-XS        (GitLab CE + runner manager, always on)
  gpu-training H100-1-80G    (CI builds + ML training, scale-to-zero)
  gpu-inference L4-1-24G     (trading inference, scale-to-zero)

Build pod limits bumped to 16 vCPU / 64GB (from 6/12GB) to use H100 capacity.
Runner now has `gpu` tag — all tests including ml crate run in single job.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-02-25 17:20:26 +01:00

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