Everything You Need to Deploy ML at Scale

Shuttl takes the heavy lifting out of machine learning infrastructure. From code to GPU-backed API, we handle the plumbing so you can focus on shipping models, not managing servers.

🚀 Zero-DevOps Deployments

Just push to GitHub—we handle the rest.
Shuttl auto-builds and deploys your application, no YAML or CLI wizardry required. Infrastructure-as-code is great. Infrastructure-you-don’t-touch is better.

GitHub-Powered Deployments

Every time you commit to your main branch, Shuttl automatically builds, packages, and deploys your application. No CI/CD setup, no infra provisioning, no YAML. You don’t even need to think about containers—we handle it all under the hood.

A stylized code commit with green checkmarks auto-connecting to a cloud icon or deployment badge.

Your program defines the infrastructure—not the other way around.

Shuttl inspects your code and runtime patterns to provision exactly what you need. Whether you’re importing TensorFlow or running multiprocessing-heavy data prep, Shuttl allocates GPU, CPU, and memory accordingly—no config files, no tuning, no guesswork. Just write code, push to GitHub, and go.

A brain or neural net icon scanning lines of code and outputting infrastructure symbols, evoking intelligent analysis and provisioning.

Built for ML Teams, Not DevOps Teams

Shuttl is purpose-built for ML workflows: from Python-first support to flexible containerized execution. It’s everything your models need to go from local dev to production-grade deployment—without waiting on platform teams or cobbling together tools.

No Yaml, only MLEs
Smarter infrastructure, automatically

⚙️ Elastic GPU & CPU Scaling

No more over-provisioning or capacity planning. Shuttl intelligently scales your workloads based on usage and shuts them down when idle. You only pay for what you use.

🧠 Built for ML Workloads

Out-of-the-box support for Python ML frameworks.


Need more control? Run anything that fits in a container.

Event-Driven or Batch Workloads

Whether you're processing real-time events or scheduling large training runs, Shuttl adapts to both synchronous and asynchronous patterns. Trigger code with webhooks, queues, or cron—no rearchitecting required.

Bulk Uploads or Streaming Data Queues

Bring your data in however you like. Drop large files into monitored storage for automatic processing, or feed data continuously via encrypted event queues. Shuttl ensures reliability, security, and speed either way.

APIs for Live Inference or Scheduled Jobs

Serve models through production-grade APIs with auto-scaling built in. Need automation? Define jobs that run on a schedule or in response to data availability. One platform, all your use cases.

Pricing plans

Transparent Pricing for everyone

Whether you need fast prototyping, or enterprise support, our pricing is transparent and built around you.

Monthly
Yearly (-20%)
Starter
$20 /user/mo
Professional
$48 /user/mo
Enterprise
Contact Us
Usage
Usage
Usage
Usage
Projects
5 projects
unlimited
unlimited
Github Integration
Included
Included
Included
DDoS Protection
No
Included
Included
Support
Support
Support
Support
Support SLA
2 days
6 hours
15 Minutes
Support Mechanism
Standard Web
Email Support
Phone
Shared Slack
No
Yes
Yes
Management
Management
Management
Management
Standard Authentication
Yes
Yes
Yes
SAML
No
Yes
Yes
SCIM & Directory Sync
No
No
Yes
⏱️ Time to Value: Minutes

Ready to Get Started?

Connect your GitHub repo, and you're live. We designed Shuttl to deliver results fast—without waiting on infra teams, devops engineers, or provisioning pipelines.