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.
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.
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.
⚙️ 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.
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.
Transparent Pricing for everyone
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.