FOUNDATION
Build your local AI studio from the ground up.
Understand the hardware, software, models, and connections that make a local AI workflow possible, before assembling a system that doesn’t fit the way you want to create.
THE CORE LAYERS
Every capable local AI studio starts with the same essential decisions.
Your hardware determines what you can run. Your software, models, and integrations determine how smoothly those capabilities become part of your creative workflow. Work through each layer in order, or jump directly to the area you need.
01
BASE SYSTEM SETUP
Define what your studio needs to do, which workloads must run together, and whether your system should be built around a primary workstation, a dedicated AI server, or both.
02
HARDWARE
Choose the CPU, GPU, VRAM, memory, storage, and networking needed to run your target models and creative applications without unnecessary bottlenecks.
03
SOFTWARE STACK
Build the software layer that runs and manages your local models, interfaces, automation tools, and creative workflows.
04
MODELS
Select and manage local language, image, video, audio, and other specialized models based on quality, speed, memory requirements, and licensing.
05
MCP & INTEGRATIONS
Connect your models with Blender, Unreal Engine, file systems, creative applications, and external services through MCP servers and other integrations.
START WITH THE PLAN
Design the studio before choosing the parts.
Begin by defining what you want to create, which applications and models need to work together, and what must run simultaneously. Those decisions determine the hardware and software that make sense for your studio.