nvidia-smi -q | findstr "Driver Model" (If you see "WDDM" – you are in slow mode)
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
Reboot the machine.
Download NVIDIA CUDA Toolkit (includes nvidia-smi ). Step 2: Open Command Prompt as Administrator. Step 3: Check current mode: nvidia-smi -q | findstr "Driver Model" (If you
You can run a single kernel for weeks without interruption. Furthermore, TCC allows for "Peer-to-Peer" (P2P) transfers between GPUs (NVLink) without copying memory through system RAM. WDDM often blocks direct P2P for stability reasons. 3. Remote Desktop (RDP) Support This is the "killer feature" for data scientists. With a WDDM GPU connected to a headless server (no monitor), Windows Remote Desktop will not render CUDA properly. You usually get errors like "CUDA driver version insufficient for runtime version." Step 3: Check current mode: You can run
For 90% of serious compute workloads—deep learning, AI training, CUDA development, and high-performance computing (HPC)—the answer is a definitive .
