VidNo requires an NVIDIA GPU with CUDA support for voice synthesis and video rendering. AMD and Intel GPUs are not currently supported because the MOSS TTS voice cloning model depends on CUDA-specific operations.
The minimum supported GPU is the NVIDIA RTX 3060 with 12GB VRAM. At this tier, VidNo runs correctly but processing is slower. Voice synthesis for a 15-minute script takes roughly 8-10 minutes, and full video rendering adds another 15-20 minutes on top of that. Usable for occasional use, but you will feel the wait on longer recordings.
The recommended GPU is the RTX 4070 Ti Super or above with 16GB VRAM. This is the sweet spot where processing times become comfortable — roughly a 1:3 ratio between output length and processing time. A 15-minute tutorial renders in about 5 minutes.
The optimal GPU is the RTX 4090 with 24GB VRAM. At this tier, VidNo flies. Voice synthesis runs in near real-time, video rendering is fast, and you can process longer recordings (60+ minutes) without VRAM pressure.
Here is a rough benchmark table for rendering a 30-minute recording into three output videos:
RTX 3060 12GB — approximately 35-45 minutes total processing. RTX 3070 Ti 8GB — not recommended, VRAM too low for reliable voice cloning. RTX 4060 Ti 16GB — approximately 20-25 minutes total processing. RTX 4070 Ti Super 16GB — approximately 12-15 minutes total processing. RTX 4080 Super 16GB — approximately 10-12 minutes total processing. RTX 4090 24GB — approximately 8-10 minutes total processing.
VRAM is the critical bottleneck, not raw compute speed. The voice model needs to stay resident in VRAM during synthesis, and if it gets swapped out, quality degrades significantly. Close other GPU-intensive applications (games, other AI tools, GPU-accelerated browsers) before running VidNo.
Make sure your NVIDIA drivers are up to date. Run nvidia-smi to verify your GPU is detected and check available VRAM before your first VidNo run.