diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml
index 9acb682a4..c28bd8bd6 100644
--- a/.gitlab-ci.yml
+++ b/.gitlab-ci.yml
@@ -9,7 +9,7 @@
 #   kapsule,rust → CPU runner → ci-compile-cpu pool (POP2-32C-128G, 32 vCPU)
 #   kapsule,gpu  → GPU runner → ci-training (L40S)
 # Override nodeSelector: KUBERNETES_NODE_SELECTOR_k8s.scaleway.com/pool-name: "<name>" (k=v format)
-# Pools: ci-compile-cpu (POP2-32C-128G), ci-compile (L4 compile), ci-training (L40S training), services, gitlab
+# Pools: ci-compile-cpu (POP2-32C-128G), ci-rl (L4 GPU), ci-training (L40S training), services, gitlab
 # All compilation (services + training) runs on ci-compile-cpu. CUDA stubs in ci-builder image.
 
 # Ensure pipeline is always created — individual job rules handle filtering.
diff --git a/infra/k8s/monitoring/APPLY-ORDER.md b/infra/k8s/monitoring/APPLY-ORDER.md
index 01bdc2396..9f0299c4b 100644
--- a/infra/k8s/monitoring/APPLY-ORDER.md
+++ b/infra/k8s/monitoring/APPLY-ORDER.md
@@ -94,7 +94,7 @@
 
 4. Repeat for gitlab pool (if not autoscaling, same process).
 
-5. Autoscaling pools (ci-training, ci-compile, gpu-dev):
+5. Autoscaling pools (ci-training, ci-rl, gpu-dev):
    - No action needed — next scale-up automatically uses private IP.
 
 6. Verify Tailscale still works:
diff --git a/infra/k8s/monitoring/dcgm-exporter.yaml b/infra/k8s/monitoring/dcgm-exporter.yaml
index 58cb54d3c..7812222a9 100644
--- a/infra/k8s/monitoring/dcgm-exporter.yaml
+++ b/infra/k8s/monitoring/dcgm-exporter.yaml
@@ -1,5 +1,5 @@
 # NVIDIA DCGM Exporter — GPU metrics for Cockpit
-# Runs on all GPU node pools (ci-training, ci-compile, gpu-dev)
+# Runs on all GPU node pools (ci-training, ci-rl, gpu-dev)
 # Alloy auto-discovers and scrapes these pods via annotations
 ---
 apiVersion: v1
diff --git a/infra/k8s/training/image-prepuller.yaml b/infra/k8s/training/image-prepuller.yaml
index 68d071dc9..481846e3a 100644
--- a/infra/k8s/training/image-prepuller.yaml
+++ b/infra/k8s/training/image-prepuller.yaml
@@ -1,5 +1,5 @@
 # DaemonSet image pre-puller — keeps training images cached on GPU nodes
-# Runs on ci-compile (L4) and ci-training (L40S) pools so training jobs skip the pull.
+# Runs on ci-rl (L4) and ci-training (L40S) pools so training jobs skip the pull.
 # Init containers pull :latest tags, then the main container sleeps forever.
 ---
 apiVersion: apps/v1
@@ -27,8 +27,7 @@ spec:
                   - key: k8s.scaleway.com/pool-name
                     operator: In
                     values:
-                      - ci-compile
-                      - ci-compile  # remove after terragrunt apply renames pool
+                      - ci-rl
                       - ci-training
       tolerations:
         - key: nvidia.com/gpu
diff --git a/infra/modules/kapsule/main.tf b/infra/modules/kapsule/main.tf
index d38ff737e..24137b239 100644
--- a/infra/modules/kapsule/main.tf
+++ b/infra/modules/kapsule/main.tf
@@ -1,21 +1,3 @@
-# Terraform state renames — prevents destroy+recreate of state entries.
-# Pool name attribute changes (always-on→services, ci-build→ci-training)
-# will still force replacement since Scaleway pool names are immutable.
-moved {
-  from = scaleway_k8s_pool.always_on
-  to   = scaleway_k8s_pool.services
-}
-
-moved {
-  from = scaleway_k8s_pool.ci_build
-  to   = scaleway_k8s_pool.ci_training
-}
-
-moved {
-  from = scaleway_k8s_pool.ci_compile
-  to   = scaleway_k8s_pool.ci_rl
-}
-
 resource "scaleway_vpc_private_network" "foxhunt" {
   name   = "${var.cluster_name}-pn"
   region = var.region