Tcc Wddm Better -

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

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

By: Technical Deep Dive Team

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

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: tcc wddm better

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.

| 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 | Download NVIDIA CUDA Toolkit (includes nvidia-smi )

You can remote into a Windows Server 2019/2022 instance from a MacBook, run nvidia-smi , and see your A100 screaming at full throttle. WDDM cannot do this without a dummy plug (a physical HDMI fake monitor). The Benchmarks: Real-World Gains We tested two identical RTX 6000 Ada Generation GPUs in a Dell Precision workstation running Windows 11.