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
- CLI —
quantlix deploy,quantlix runfor 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 and get API key
pip install -e .
quantlix signup --email you@example.com --password YourSecurePassword123!
# Verify email, then:
quantlix login --email you@example.com --password YourSecurePassword123!
# Set the API key (required for deploy/run):
export QUANTLIX_API_KEY="qxl_xxx" # from login output
# 3. Deploy and run
quantlix deploy qx-example
# Run inference to activate (first run moves deployment from pending to ready)
quantlix run <deployment_id> -i '{"prompt": "Hello!"}'
See docs/CLI_GUIDE.md for detailed setup. To test Pipeline Lock locally, see docs/TESTING_PIPELINE_LOCK.md.
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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