Zero-DevOps Deployments
From commit to production, without DevOps drag.
GitHub-Powered Deployments
Every time you push to your main branch, Shuttl automatically:
1. Build your project
2. Packages it for deployment
3. Deploys it to scalable, production-grade infrastructure
No Dockerfiles. No YAML. No CI/CD config.
How it works:
1. Connect your repo to Shuttl.
2. Push to main.
3. Shuttl builds and deploys your app instantly.
Built for ML and Data Workloads
You shouldn’t need to learn Kubernetes just to deploy a PyTorch model. Shuttl is built from the ground up for machine learning and data-heavy programs—no DevOps required.
Native Python support
Bring your favorite ML libraries and frameworks
GPU-aware infrastructure
We provision the right hardware based on your Needs
Flexible containers
Run your own Docker images, no special format required
Autoscaling Without Overprovisioning
When your app isn’t being used, Shuttl scales it to zero. When traffic picks up, it spins right back up—without cold-start headaches.
No more guessing how many GPUs you’ll need.
No more overpaying to keep your cluster warm.
No more DevOps fiddling with auto-scaling groups or spot instances.
Just:
1. Predictable pricing
2. Elastic infrastructure
3. Focused development
Whether you're running real-time inference or nightly data pipelines, Shuttl automatically adjusts to your program’s compute needs—so you only pay for what you actually use.
Transparent Pricing for everyone
Ready to Leave DevOps Behind?
Stop wiring together CI/CD, YAML, and infra configs. Just write code, push to GitHub, and deploy instantly with Shuttl.
✅ No infrastructure to manage
✅ Scales with your workload
✅ Built for ML, optimized for speed