Features
Deployment
Easily deploy your AI models using a simplified deployment object.
Management
Automatic endpoint registration for easy consumption.
Scaling
Horizontal scaling so your models can meet demand.
Deploy, manage, and scale machine learning models using Kubernetes
Easily deploy your AI models using a simplified deployment object.
Automatic endpoint registration for easy consumption.
Horizontal scaling so your models can meet demand.
Kubernetes has given teams the ability to deploy and manage containerized workloads at scale. However, unlocking it’s full potential requires additional complexity and expertise. We aim to simplify AI deployments by providing a Kubernetes operator that automates complexity and bakes in expertise. Allowing users to deploy production ready models on day 1.
Our Kubernetes Operator allows for seamless deployment of AI applications across different cloud platforms. By abstracting away the underlying cloud infrastructure, we can ensure that your AI applications run consistently and reliably, regardless of your cloud environment.
We are passionate about building infrastructure and management solutions to help developers at companies of all sizes deploy, manage, and scale machine learning models. Why? Because we've spent countless hours on multi-million dollar projects building AI infrastructure from scratch and it sucks!
