Tcc Wddm Better < 1080p >

Enable TCC on your compute GPU (e.g., GPU 0):

If you have ever installed an NVIDIA professional GPU (Quadro, Tesla, A100, RTX A-series) and opened NVIDIA SMI (System Management Interface) only to see the cryptic flags TCC or WDDM next to your driver type, you have likely asked one question:

nvidia-smi -g 0 -dm 1 (0 = WDDM, 1 = TCC) tcc wddm better

For 90% of serious compute workloads—deep learning, AI training, CUDA development, and high-performance computing (HPC)—the answer is a definitive .

Stop crippling your expensive GPUs with WDDM overhead. Switch to TCC. Your training epochs will thank you. Updated for NVIDIA Driver R555+ and Windows 11 23H2. Enable TCC on your compute GPU (e

| Test | WDDM Mode (Standard) | TCC Mode | Improvement | | :--- | :--- | :--- | :--- | | | 3,450 | 4,120 | +19.4% | | CUDA Memcpy (Host to Device) | 12.4 GB/s | 25.1 GB/s | +102% (Bypasses PCIe limits imposed by WDDM) | | Kernel Launch Overhead (100k launches) | 2.4 seconds | 0.9 seconds | -62% | | Multi-GPU Scaling (2x GPUs) | 1.6x speedup | 1.95x speedup | Near-native NVLink speed |

nvidia-smi -q | findstr "Driver Model" (If you see "WDDM" – you are in slow mode) Your training epochs will thank you

Download NVIDIA CUDA Toolkit (includes nvidia-smi ). Step 2: Open Command Prompt as Administrator. Step 3: Check current mode: