AI Video Render Predictor
Generating AI Video is the most demanding task in computing. Calculate exactly how long your GPU will take to render Sora, Veo, Kling, or SVD models locally.
1. Render Configuration
2. Estimated Prediction
Why AI Video Takes So Long to Render
If you've played with local AI image generators (like Stable Diffusion or Flux), you are used to waiting 5 to 15 seconds for an image. So why does AI Video (using architectures like Sora, Veo, or Kling) take hours?
The Math of Temporal Consistency
Standard video plays at 24 Frames Per Second (fps). A 10-second AI video isn't just one image; it is 240 unique images. Furthermore, the AI must keep the physics, lighting, and characters consistent across all 240 frames (Temporal Attention). This requires massive amounts of simultaneous computation.
VRAM: The "Out of Core" Bottleneck
If you try to render a 4K AI video that requires 26GB of VRAM on an NVIDIA RTX 5070 (12GB), the render will not instantly fail. Instead, it will overflow into your system's regular RAM (a process called offloading or "Out of Core" rendering). Because system RAM is drastically slower than GDDR6 GPU memory, your render time will instantly multiply by 5x to 10x. This is why 24GB+ GPUs (like the RTX 4090 or RTX 5090) or Mac Studios with massive Unified Memory are strictly required for AI filmmakers in 2026.
