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Quantlix — AI-focused GPU inference platform

Project description

Quantlix

Deploy AI models in seconds. A simple inference platform with REST API, usage-based billing, and Kubernetes orchestration.

Features

  • REST API — Deploy models, run inference, check status
  • Usage-based billing — Free, Starter (€9/mo), Pro (€19/mo) tiers with Stripe
  • Queue & orchestration — Redis queue, K8s job scheduling
  • Customer portal — Next.js dashboard, usage graphs, real-time logs
  • CLIquantlix deploy, quantlix run for local dev

Quick start

# 1. Clone and start services
git clone https://github.com/quantlix/cloud
cd cloud
cp .env.example .env
docker compose up -d

# 2. Create account (or use dev seed)
pip install -e .
quantlix signup --email you@example.com --password YourSecurePassword123!
# Verify email, then:
quantlix login --email you@example.com --password YourSecurePassword123!

# 3. Deploy and run
quantlix deploy qx-example
quantlix run <deployment_id> -i '{"prompt": "Hello!"}'

See docs/CLI_GUIDE.md for detailed setup.

Architecture

┌─────────────┐     ┌─────────┐     ┌──────────────┐
│   Portal    │────▶│   API   │────▶│  PostgreSQL  │
│  (Next.js)  │     │(FastAPI)│     │    Redis     │
└─────────────┘     └────┬────┘     └──────────────┘
                         │
                         ▼
                  ┌──────────────┐
                  │ Orchestrator │────▶ Kubernetes / Inference
                  │  (Worker)    │
                  └──────────────┘

Project structure

Directory Description
api/ FastAPI backend (auth, deploy, run, billing, usage)
portal/ Next.js customer dashboard
orchestrator/ Redis queue worker, K8s job runner
inference/ Mock inference service (replace with your model server)
sdk/ Python client library
cli/ quantlix CLI
infra/ Terraform (Hetzner), Kubernetes manifests

Production

See docs/GO_LIVE.md for the full deployment checklist: Stripe, SMTP, DNS, SSL, secrets.

License

MIT — see LICENSE.

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