diff --git a/studio/backend/core/inference/llama_cpp.py b/studio/backend/core/inference/llama_cpp.py
index a57c160a8e..bc3734fde2 100644
--- a/studio/backend/core/inference/llama_cpp.py
+++ b/studio/backend/core/inference/llama_cpp.py
@@ -204,12 +204,11 @@ class LlamaCppBackend:
     def _get_gpu_free_memory() -> list[tuple[int, int]]:
         """Query free memory per GPU via nvidia-smi.
 
-        Returns list of (gpu_index, free_mib) sorted by index.
-        Only returns GPUs that are allowed by CUDA_VISIBLE_DEVICES
-        (if set). Returns empty list if nvidia-smi is not available.
+        Returns list of (gpu_index, free_mib) for ALL physical GPUs,
+        ignoring CUDA_VISIBLE_DEVICES. llama-server manages its own GPU
+        allocation via _select_gpus which sets CUDA_VISIBLE_DEVICES
+        explicitly for the subprocess.
         """
-        import os
-
         try:
             result = subprocess.run(
                 [
@@ -224,23 +223,12 @@ class LlamaCppBackend:
             if result.returncode != 0:
                 return []
 
-            # Parse which GPUs are allowed by existing CUDA_VISIBLE_DEVICES
-            allowed = None
-            cvd = os.environ.get("CUDA_VISIBLE_DEVICES")
-            if cvd is not None and cvd.strip():
-                try:
-                    allowed = set(int(x.strip()) for x in cvd.split(","))
-                except ValueError:
-                    pass  # Non-numeric (e.g., "GPU-uuid"), ignore filter
-
             gpus = []
             for line in result.stdout.strip().splitlines():
                 parts = line.split(",")
                 if len(parts) == 2:
                     idx = int(parts[0].strip())
                     free_mib = int(parts[1].strip())
-                    if allowed is not None and idx not in allowed:
-                        continue
                     gpus.append((idx, free_mib))
             return gpus
         except Exception: