If you have a professional-grade card (Quadro, Tesla, or some Titan models), you can switch to TCC mode using the NVIDIA System Management Interface (nvidia-smi) . Note that this will disable all video output from that specific card. as Administrator. Check current mode : Run nvidia-smi -q .
It disables the display functionality. If you enable TCC, any monitor connected to that card will turn off. TCC vs WDDM: The Key Differences WDDM (Windows Display Driver Model) TCC (Tesla Compute Cluster) Primary Use Gaming, CAD, Desktop Usage AI Training, CUDA, HPC Display Support Yes (Monitors work) No (Headless/No output) Compute Speed Slower (due to OS overhead) Faster (Direct CUDA access) Latency Driver Overhead When is TCC Better? (The Case for Speed) tcc wddm better
A common "pro" setup involves leaving your primary GeForce card in (to run Windows and games) and setting a secondary Professional card to TCC for dedicated background rendering or AI processing. How to Switch Modes If you have a professional-grade card (Quadro, Tesla,
In the world of high-performance computing (HPC), AI inference, and virtual desktop infrastructure (VDI), one question keeps coming up: Should I run my NVIDIA GPU in TCC mode or WDDM mode? Check current mode : Run nvidia-smi -q
Despite the performance gains of TCC, WDDM is necessary in specific scenarios: [Multiple GPUs / Processes] CUDA Memory De/Allocation Slow
TCC (Tesla Compute Cluster) offers superior performance for high-performance computing, deep learning, and multi-GPU scaling by reducing overhead and eliminating display-related constraints, as detailed in NVIDIA's documentation [1]. Conversely, WDDM (Windows Display Driver Model) is the necessary standard for gaming and general Windows desktop use, as it supports display outputs and DirectX, according to Wikipedia [2]. For more details, visit NVIDIA Documentation