@mytec: iter2.3 multithreading p1 done

backend/app/api/routes/system.py

@@ -0,0 +1,30 @@
+import multiprocessing as mp
+from fastapi import APIRouter
+
+router = APIRouter()
+
+
+@router.get("/info")
+async def get_system_info():
+    """Return system info: CPU cores, GPU availability, parallel support."""
+    cpu_cores = mp.cpu_count() or 1
+
+    gpu_info = None
+    try:
+        import cupy as cp
+        if cp.cuda.runtime.getDeviceCount() > 0:
+            props = cp.cuda.runtime.getDeviceProperties(0)
+            gpu_info = {
+                "name": props["name"].decode(),
+                "memory_mb": props["totalGlobalMem"] // (1024 * 1024),
+            }
+    except Exception:
+        pass
+
+    return {
+        "cpu_cores": cpu_cores,
+        "parallel_workers": min(cpu_cores, 14),
+        "parallel_enabled": True,
+        "gpu": gpu_info,
+        "gpu_enabled": gpu_info is not None,
+    }