Recommended Hardware for AI Video Creation

This place lists the hardware configuration we recommend for AI image and AI video creation. These hardware setups work well with Linux and the Videcool software package.

Basic Configuration

If you wish to create a basic desktop video workstation to get started, you can use the following hardware configuration:
Component Specification
CPU Intel Core i5 (12th Gen or later)
RAM 32GB DDR4 (3200MHz)
Storage 1TB SATA III SSD
GPU NVIDIA RTX 3090 24GB
Motherboard LGA 1700, PCIe 4.0 support
PSU 1000W
Case Large case that has room for the GPU with several cooling fans
Software Windows or Ubuntu Linux

This configuration will allow you to use quantized (compressed) AI video generation models, and will make it possible to experiment with all local AI video generation tools and functions.

Standard Configuration

If you need a good AI video workstation, you can go with the following hardware configuration:
Component Specification
CPU Intel Core i7 14900K
RAM 128GB DDR5 4800MHz
Storage 2TB NVMe SSD
GPU 2x NVIDIA RTX 5090 Blackwell 32GB
Motherboard Z790 chipset, PCIe 5.0 support
PSU 2000W
Case Large case that has room for two GPUs with several cooling fans
Software Windows or Ubuntu Linux

This configuration has 2 GPUs giving you a total of 64GB VRAM. This will require a more powerful power supply (2000W) and good airflow for cooling. This configuration can run almost all AI video generation models at reasonable speeds.

Recommended Configuration

If you have the budget to build an AI video server or a powerful AI video workstation, go with the following hardware configuration:
Component Specification
CPU Intel Core Ultra 9 285K
RAM 128GB (2x64GB) DDR5 6400MHz
Storage 4TB NVMe SSD
GPU NVIDIA RTX 6000 Pro Blackwell 96GB
Motherboard Z890 chipset, PCIe 5.0 support
PSU 1500W
Case Large case that has room for the GPU with several cooling fans
Software Ubuntu Linux

This configuration will allow you to generate 4K videos with the latest video models at great speeds. This configuration is up to date at the time of writing. In the future, newer hardware may be more appropriate. This is the configuration the author of this book is using.