diff --git a/lidar_pipeline/gpu.py b/lidar_pipeline/gpu.py
index 2af3651..1b1f50f 100644
--- a/lidar_pipeline/gpu.py
+++ b/lidar_pipeline/gpu.py
@@ -65,15 +65,11 @@ def _pick_gpu() -> int | None:
         # architecture (sm_89, sm_120, etc.).  All NVIDIA GPUs are usable.
         for gpu in gpus:
             idx, name, cap_str, mem_mi, score, major = gpu
-            if major <= 8:  # sm_89 and below — works with CuPy 13.4 + JIT
-                _best_gpu_id = idx
-                _gpu_name = name
-                _gpu_mem_gb = mem_mi // 1024
-                HAS_GPU = True
-                return _best_gpu_id
-
-        # All GPUs have unsupported compute capability
-        _gpu_reason = "aucun GPU avec compute capability compatible CuPy 13.4"
+            _best_gpu_id = idx
+            _gpu_name = name
+            _gpu_mem_gb = mem_mi // 1024
+            HAS_GPU = True
+            return _best_gpu_id
         return None
 
     except (FileNotFoundError, subprocess.TimeoutExpired, Exception):
@@ -177,7 +173,7 @@ def log_gpu_status():
             gpu_info = f"GPU: {_gpu_name} ({_gpu_mem_gb} Go VRAM)"
         logger.info(gpu_info)
         
-        # Warn about unsupported GPUs that exist but are not used
+        # List other GPUs for info
         try:
             import subprocess
             result = subprocess.run(
@@ -192,7 +188,7 @@ def log_gpu_status():
                         idx = int(parts[0])
                         if idx != _best_gpu_id:
                             cap = parts[2]
-                            logger.info(f"  GPU {idx}: {parts[1]} (sm_{cap}) — non utilisé (incompatible CuPy)")
+                            logger.info(f"  GPU {idx}: {parts[1]} (sm_{cap}) — disponible")
         except Exception:
             pass
     else: