We build MLOps pipelines for our clients, deploy machine learning models into live production, and optimize GPU capacity cost-effectively.
Automate rollouts of changes to your applications or configurations, and automatically roll them back if something goes wrong.
Kubernetes ensures that different parts of your application find each other automatically, even if their addresses constantly change. It also automatically distributes incoming traffic across all available instances.
Automatically mount the storage system of your choice, whether it is local storage, a public cloud provider like AWS, Google Cloud, or Azure, or a network storage system.
Update credentials and configurations without rebuilding your application image and without exposing sensitive data in plain text.
If an application fails, it restarts automatically. If it stops responding properly, it is automatically terminated and replaced. If the underlying server fails, Kubernetes automatically switches the application to another server.
Scale your application up or down seamlessly using a simple command, a user interface, or automatically based on CPU utilization.
In addition to continuous services, Kubernetes can manage your batch and CI workloads, even replacing failed containers when necessary.
Add features and custom capabilities to your Kubernetes cluster without modifying the upstream source code.
