diff --git a/infra/k8s/argo/train-multi-seed-template.yaml b/infra/k8s/argo/train-multi-seed-template.yaml
index c3dc602ff..1d6d43f35 100644
--- a/infra/k8s/argo/train-multi-seed-template.yaml
+++ b/infra/k8s/argo/train-multi-seed-template.yaml
@@ -58,12 +58,17 @@ spec:
         value: HEAD
       - name: git-branch
         value: main
+      # Default sm_89 / ci-training-l40s as of 2026-05-14 per
+      # `feedback_default_to_l40s_pool.md`. argo-train.sh's
+      # CUDA_COMPUTE_CAP derivation passes "89" by default to match;
+      # explicit --gpu-pool ci-training-h100 overrides both back to
+      # sm_90 + H100.
       - name: cuda-compute-cap
-        value: "90"
+        value: "89"
       - name: model
         value: dqn
       - name: gpu-pool
-        value: ci-training-h100
+        value: ci-training-l40s
       - name: hyperopt-trials
         value: "0"  # Multi-seed runs typically skip hyperopt (re-use baseline params)
       - name: hyperopt-epochs
diff --git a/infra/k8s/argo/train-template.yaml b/infra/k8s/argo/train-template.yaml
index 53df5adec..e424ef886 100644
--- a/infra/k8s/argo/train-template.yaml
+++ b/infra/k8s/argo/train-template.yaml
@@ -45,8 +45,16 @@ spec:
         value: "90"
       - name: model
         value: dqn
+      # gpu-pool default: ci-training-l40s (set 2026-05-14 per
+      # `feedback_default_to_l40s_pool.md` — SP-chain training has been
+      # standardising on L40S since 2026-05-09; the prior ci-training-h100
+      # default required every SP-run invocation to pass an explicit
+      # `--gpu-pool ci-training-l40s` override. H100 remains opt-in via
+      # `--gpu-pool ci-training-h100` for runs that genuinely need
+      # 80 GB VRAM or sm_90 features). Compute-cap derivation in
+      # `argo-train.sh` matches this default to sm_89 (Ada Lovelace).
       - name: gpu-pool
-        value: ci-training-h100
+        value: ci-training-l40s
       - name: hyperopt-trials
         value: "20"
       - name: hyperopt-epochs
diff --git a/scripts/argo-test.sh b/scripts/argo-test.sh
index 14f2d5d44..987668412 100755
--- a/scripts/argo-test.sh
+++ b/scripts/argo-test.sh
@@ -25,7 +25,8 @@ Options:
                        Use "all" for all 10 models
   --scope <scope>      lib, integration, or all (default: all)
   --ref <ref>          Git ref to test (default: HEAD)
-  --gpu-pool <pool>    GPU node pool (default: ci-training-h100)
+  --gpu-pool <pool>    GPU node pool (default: ci-training-l40s; opt into
+                       ci-training-h100 for 80 GB / sm_90 workloads)
   --watch              Follow workflow logs
   -h, --help           Show this help
 EOF
diff --git a/scripts/argo-train.sh b/scripts/argo-train.sh
index 7ab881dd4..2164a29a2 100755
--- a/scripts/argo-train.sh
+++ b/scripts/argo-train.sh
@@ -2,10 +2,10 @@
 # Train a model via Argo Workflows.
 #
 # Usage:
-#   ./scripts/argo-train.sh dqn                          # defaults: HEAD, H100, 50 epochs
+#   ./scripts/argo-train.sh dqn                          # defaults: HEAD, L40S, 50 epochs
 #   ./scripts/argo-train.sh dqn --sha abc1234            # specific commit
 #   ./scripts/argo-train.sh dqn --epochs 100 --trials 40 # override training params
-#   ./scripts/argo-train.sh ppo --gpu-pool ci-training    # L40S instead of H100
+#   ./scripts/argo-train.sh ppo --gpu-pool ci-training-h100  # opt into H100 (80 GB)
 #   ./scripts/argo-train.sh dqn --baseline                # skip hyperopt
 #   ./scripts/argo-train.sh dqn --watch                  # follow logs
 #
@@ -49,7 +49,8 @@ Options:
   --branch <branch>    Git branch (default: main)
   --trials <n>         Hyperopt trials (default: 20)
   --epochs <n>         Training epochs (default: 50)
-  --gpu-pool <pool>    GPU node pool (default: ci-training-h100)
+  --gpu-pool <pool>    GPU node pool (default: ci-training-l40s; opt into
+                       ci-training-h100 for 80 GB / sm_90 workloads)
   --symbol <sym>       Trading symbol (default: ES.FUT)
   --capital <n>        Initial capital (default: 35000)
   --baseline           Skip hyperopt (trials=0)
@@ -125,16 +126,18 @@ if ! [[ "$FOLDS" =~ ^[0-9]+$ ]] || [[ "$FOLDS" -lt 1 ]]; then
 fi
 
 # Auto-derive cuda-compute-cap from GPU pool — cubins must match device sm_XX.
-# Default pool is ci-training-h100 (sm_90). Override for other architectures:
+# Default pool is ci-training-l40s (sm_89) as of 2026-05-14 per
+# `feedback_default_to_l40s_pool.md`. Override for other architectures:
 #   ci-training-h100*  → sm_90 (Hopper)
-#   ci-training-l40s   → sm_89 (Ada Lovelace)
+#   ci-training-l40s   → sm_89 (Ada Lovelace, current default)
 #   ci-training        → sm_89 (alias for L40S — pool is named bare in some
 #                        clusters; fixed 2026-05-04 after train-mnpf7 deployed
 #                        with sm_90 cubins on L40S device, requiring terminate
 #                        + resubmit with explicit --gpu-pool ci-training-l40s).
-case "${GPU_POOL:-ci-training-h100}" in
+case "${GPU_POOL:-ci-training-l40s}" in
+  *h100*)              CUDA_COMPUTE_CAP="90" ;;  # Hopper (opt-in)
   *l40s*|ci-training)  CUDA_COMPUTE_CAP="89" ;;
-  *h100*|*)            CUDA_COMPUTE_CAP="90" ;;  # default Hopper
+  *)                   CUDA_COMPUTE_CAP="89" ;;  # default Ada Lovelace
 esac
 
 # ── Route: single-job (existing template) vs multi-seed DAG (new template) ──