Home > AI Solutions > Artificial Intelligence > White Papers > Simplifying AI: Dell Enterprise Hub Enables Kubernetes Deployment for AI Models > Container Environment
Kubernetes is a container environment built with maximum control in mind. In order to set up Kubernetes, a few different requirements must be met. Firstly, you need a server with an operating system installed. Any other additional computing components such as GPUs and networking cards can be added depending on the use of Kubernetes. Finally, installation of a separate container runtime such as Docker or containerd along with the necessary drivers for computing equipment is necessary. Following all these requirements, businesses can leverage the power of Kubernetes for their container management.
Kubernetes performs a similar function to other container runtimes such as Docker which are popular in the industry, but there are several distinct advantages to using Kubernetes. As a platform, Kubernetes allows for service discovery, ingress, and load balancing that is unparalleled. This allows deployments and scalability to achieve rates that are not found on other container runtimes like Docker. On top of those features, Kubernetes has the benefit of being able to use a unified control plane to manage all your containers.
Due to the immense benefit that Kubernetes provides for enterprises, it has become a standard for container software in the industry. Its ease of management and scalability are features that make Kubernetes the choice for many industries seeking to rapidly deploy and manage containerized applications. For AI in particular, Kubernetes allows for container load balancing that gives businesses massive cost savings in physical infrastructure.