SERVER-SIDE AI PROCESSING
AI Video Upscaling Without a Local GPU
Use Remaster AI from a browser without running the AI upscaling model on your own GPU. The standard processing path runs on server-side infrastructure, while your device handles source selection, upload, preview review, and download.
What “without a local GPU” means
You do not need a supported NVIDIA AI GPU in your own computer to execute the standard Remaster AI upscaling workload. You do still need a browser, enough local storage for your source/output, and sufficient upload/download bandwidth.
- No local model installation.
- No local CUDA or driver setup for the standard path.
- No local GPU purchase required for the standard path.
- Network transfer time remains part of the workflow.
Why this can matter
Desktop AI video tools can be an excellent choice for users who already own powerful hardware and want detailed control. Server-side processing is a different fit for occasional users, laptops, office PCs, and teams that do not want to provision dedicated AI hardware.
- Useful when the local machine is not an AI workstation.
- Useful when processing is occasional rather than continuous.
- Useful when a simple supported path is preferable to managing model settings.
Know the trade-offs
Cloud/server-side processing shifts compute away from your computer, but it does not remove upload time, privacy considerations, retention limits, or the need to verify output quality.
- Supported uploads are MP4, MOV, and M4V.
- Completed outputs are retained for the documented retention window.
- Use the free three-frame preview before paying for a full-video job.
- Keep your original source master and review the completed output.
Related guides
Always review the completed full video before distribution, delivery, or archival replacement decisions.