diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml
index 0ae635928..53c0b795b 100644
--- a/.gitlab-ci.yml
+++ b/.gitlab-ci.yml
@@ -424,12 +424,12 @@ build-training:
       --destination "${REGISTRY}/training:latest"
 
 # --------------------------------------------------------------------------
-# Stage 3c: Training — all models run on L40S (48GB VRAM, 8 vCPU)
+# Stage 3c: Training — RL on L4 (CPU-heavy), Supervised on L40S (GPU-heavy)
 # --------------------------------------------------------------------------
 
 # --------------------------------------------------------------------------
-# RL training base: DQN + PPO → ci-training pool (L40S)
-# RL hyperopt runs parallel PSO trials — CPU+GPU bound.
+# RL training base: DQN + PPO → ci-compile pool (L4-1-24G)
+# RL hyperopt runs parallel PSO trials — CPU+GPU bound, low VRAM.
 # --------------------------------------------------------------------------
 .train-rl-base:
   stage: train
@@ -437,15 +437,14 @@ build-training:
   tags:
     - kapsule
     - gpu
+  # Runner default node_selector: pool=ci-compile (L4-1-24G)
   variables:
     # nvidia runtime provided by runner default (runtime_class_name = "nvidia")
-    # Route to L40S pool — all training on one GPU type for simplicity
-    KUBERNETES_NODE_SELECTOR_pool: "pool=ci-training"
-    # RL hyperopt is CPU-bound (parallel PSO trials). Use full node (8 vCPU).
+    # RL hyperopt is CPU-bound (parallel PSO trials). Use full L4 (8 vCPU).
     KUBERNETES_CPU_REQUEST: "6000m"
     KUBERNETES_CPU_LIMIT: "7800m"
     KUBERNETES_MEMORY_REQUEST: "8Gi"
-    KUBERNETES_MEMORY_LIMIT: "40Gi"
+    KUBERNETES_MEMORY_LIMIT: "20Gi"
   rules:
     - if: $CI_COMMIT_BRANCH == "main" && $CI_PIPELINE_SOURCE == "push"
       when: manual
@@ -461,7 +460,7 @@ build-training:
 
 # --------------------------------------------------------------------------
 # Supervised training base: TFT, Mamba2, TGGN, TLOB, Liquid, KAN, xLSTM, Diffusion → L40S
-# Supervised models are GPU-bound — low CPU, high VRAM. Same pool as RL.
+# Supervised models are GPU-bound — low CPU, high VRAM.
 # --------------------------------------------------------------------------
 .train-validate-base:
   stage: train