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GPU AI Engine
The GPU AI Engine is a production-ready backend system for powering AI image generators and Backend-as-a-Service (BaaS) platforms built on ComfyUI. It handles everything from job queuing to GPU instance management — so you can focus on building your product, not the infrastructure.
This engine is the core of UniGen (600+ AI models generator) and has processed over 100,000 generation jobs in production. It's designed to scale from a single GPU instance to dozens, with a serverless start/stop system to minimize GPU rental costs.
From $2,000
Delivery: 7-14 days setup
Source Code
What's Included
ComfyUI workflow orchestration
Redis-based job queue with priority levels
REST API with API key authentication
GPU VRAM check before job dispatch
Multi-workflow support (add via API)
Add new AI models without downtime
Serverless auto-scaling (start/stop GPU instances)
Cost optimization — instances off when idle
Webhook callbacks on job completion
Admin dashboard for queue monitoring
Supports RunPod, Vast.ai, Lambda Labs
Docker Compose single-command deployment
Full source code + deployment documentation
Use Cases
- •Launch your own AI image generator SaaS
- •Build a public AI Models API (sell API credits like Replicate)
- •Internal AI tooling platform for your team
- •White-label AI product for clients
- •Custom ComfyUI automation service
Tech Stack
ComfyUIPythonFastAPIRedisDockerDocker ComposeNGINXTypeScriptRunPod APIVast.ai APIWebhooks
From $2,000
Delivery: 7-14 days setup
Source Code