diff --git a/crates/ml/src/cuda_pipeline/gpu_experience_collector.rs b/crates/ml/src/cuda_pipeline/gpu_experience_collector.rs
index 69b0749dc..91a145275 100644
--- a/crates/ml/src/cuda_pipeline/gpu_experience_collector.rs
+++ b/crates/ml/src/cuda_pipeline/gpu_experience_collector.rs
@@ -4255,7 +4255,8 @@ impl GpuExperienceCollector {
         if ofi_flat.is_empty() {
             return Err(MLError::ModelError("OFI data empty — cannot upload empty features to GPU".into()));
         }
-        let gpu_buf = super::clone_htod_f32(&self.stream, ofi_flat)?;
+        let gpu_buf = super::mapped_pinned::clone_to_device_f32_via_pinned(&self.stream, ofi_flat)
+            .map_err(|e| MLError::ModelError(format!("upload_ofi_features: {e}")))?;
         info!(
             "OFI features uploaded to GPU: {} bars x {} dims ({:.1} KB)",
             ofi_flat.len() / self.ofi_dim,
diff --git a/docs/dqn-gpu-hot-path-audit.md b/docs/dqn-gpu-hot-path-audit.md
index 28dd658b1..e43d54abe 100644
--- a/docs/dqn-gpu-hot-path-audit.md
+++ b/docs/dqn-gpu-hot-path-audit.md
@@ -160,6 +160,9 @@ Out-of-scope (remaining host-side stream syncs in eval, not part of this fix): `
 - `collect_experiences` (warm but per-collect): `episode_starts_buf` (memcpy_htod) → `upload_i32_via_pinned`; `barrier_config` (htod_f32) → `upload_f32_via_pinned`.
 - `reset_episodes` (warm, per-epoch): replaced the `Vec<f32>` / `Vec<u32>` host staging fields with persistent `MappedF32Buffer` / `MappedU32Buffer` allocated once at construction. Resets fill via `host_slice_mut()` (zero-allocation, zero-HtoD); a single async DtoD seeds the persistent device-resident `portfolio_states` / `rng_states` (which the kernel mutates each step). Adds `host_slice_mut()` accessor on both mapped-pinned types.
 
+### Fix 15 — Migrate `gpu_experience_collector.rs::upload_ofi_features` (1 site, 2026-04-28)
+`gpu_experience_collector.rs:4258`: warm-path `super::clone_htod_f32` upload of OFI features rewritten to `mapped_pinned::clone_to_device_f32_via_pinned`. Called from training_loop's data-load phase before each fold's training run, so the OFI tensor (4M bars × 32 dims = ~512 MB) now stages through mapped-pinned + DtoD just like all other large data uploads. Error-type shift handled with `.map_err(|e| MLError::ModelError(format!("upload_ofi_features: {e}")))?` since the helper returns `Result<_, String>` and the function returns `Result<_, MLError>`.
+
 ### Fix 14 — Migrate `gpu_dqn_trainer.rs` residual COLD ctor sites (8 sites, 2026-04-28)
 `gpu_dqn_trainer.rs`: residual COLD ctor sites missed by the original Fix-1..13 audit are now migrated off explicit `super::htod_f32` per `feedback_no_htod_htoh_only_mapped_pinned.md`.
 - `:9922` `sel_clip_buf` 1-element init — selectivity gate clip-norm seed (1.0).