Cloud Native AI & ML

Leverage Kubernetes to accelerate machine learning from research to testing and production applications. Running GPU workloads on Kubermatic Kubernetes Platform simplifies infrastructure management so you can focus on your data and model.

Why AI and ML Computing Requires Cloud Native Thinking Today

  • Reduce time from data to interference with a standardized machine learning pipeline
  • Achieve scale up and scale out in training and production
  • Run the same tools from your laptop experiments to production deployment in the cloud or on prem

Main Use Cases

Run GPUs on Kubernetes with Confidence

  • Leverage years of production Kubernetes experience
  • Kubernetes Conformance certified
  • Best practices architecture advice from cloud native experts

Accelerate Machine Learning Research

  • Run GPUs on Kubernetes with ease
  • Focus on your model not your infrastructure
  • Automated infrastructure operations

Speed Up Inference in Production

  • Boost application performance with GPUs
  • Run on any infrastructure including edge computing
  • Deliver machine learning applications today

Technology Solutions

Kubermatic Kubernetes Platform for Machine Learning

Designed to automate IT operations from the infrastructure to the application, Kubermatic Kubernetes Platform easily operates Kubernetes clusters with consistency from the local development cluster to cloud production deployments.


Professional Services

Cloud Native Explore

A half-day workshop to elaborate a dedicated cloud native roadmap including architecture design and hosting model recommendations tailor-made to your specific requirements.

Cloud Native Design

A two day workshop to provide you with a clear scope, budget and project plan for your cloud native project, ensuring smooth and successful implementation.

Kubermatic Kubernetes Platform Accelerator

An 11.5 day engagement combining training, consultancy, and a Kubermatic PoC to empower your team to automate Kubernetes multi cluster management.