GPU Video Enhancement
ClapClip uses your GPU to accelerate AI video and image enhancement. Through DirectML on Windows, it taps NVIDIA, AMD, and Intel graphics hardware to run enhancement models at speeds that a CPU alone can't match — turning what would be hours of processing into minutes.
- NVIDIA, AMD, Intel via DirectML
- 10x–50x faster than CPU-only processing
- No CUDA requirement
- 4 GB+ VRAM recommended, 8 GB+ for 4K
Windows 10·11
DirectML: one API, every major GPU
DirectML is a hardware-accelerated machine-learning API built into Windows. ClapClip uses it to run AI models on whatever GPU you have — NVIDIA GeForce or RTX, AMD Radeon, or Intel Arc — without requiring vendor-specific runtimes like CUDA.
Why GPU matters for enhancement
AI enhancement models perform millions of matrix operations per frame. GPUs are built for exactly this kind of parallel math, processing frames 10x to 50x faster than a CPU depending on the model and resolution. The difference between a one-hour render and a five-minute render is usually the GPU.
Getting the most from your hardware
A dedicated GPU with 4 GB or more of VRAM handles 1080p enhancement comfortably. For 4K output or batch processing, 8 GB or more of VRAM gives headroom. Integrated graphics work but are significantly slower than a discrete card.
자주 묻는 질문
Do I need an NVIDIA GPU?
No. ClapClip uses DirectML, which supports NVIDIA, AMD, and Intel GPUs. You are not locked to one vendor.
Can ClapClip run on integrated graphics?
It can, but a dedicated GPU is significantly faster. Integrated graphics will work for smaller files and lower resolutions; a discrete card is recommended for regular use or 4K output.
How much VRAM do I need?
4 GB of VRAM handles 1080p enhancement well. 8 GB or more is recommended for 4K output or processing multiple files in batch mode.