foxhunt

Files

jgrusewski c731bef759 feat(infra): split training image into RL + supervised, rename ci-compile → ci-rl

RL models (DQN/PPO) only need basic CUDA runtime (~2GB), while supervised
models need cuDNN (~4GB). Splitting saves ~2GB pull time per RL job.
Rename the L4 GPU pool from ci-compile to ci-rl to reflect its actual use.
Add DaemonSet image pre-puller to cache training images on GPU nodes.

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

2026-02-28 10:16:42 +01:00

block-storage

infra: provision Kapsule cluster in fr-par with GPU support

2026-02-24 15:35:40 +01:00

cockpit

fix(infra): fix cockpit module for SCW provider v2.69.0

2026-02-27 00:45:36 +01:00

dns

infra(dns): add grafana + prometheus A records to Terraform

2026-02-25 21:46:56 +01:00

kapsule

feat(infra): split training image into RL + supervised, rename ci-compile → ci-rl