Hopsworks is an enterprise-grade distributed AI Lakehouse platform with a feature store; this installation deploys a distributed system that requires proper cloud infrastructure deployment. For enterprise development or production, contact us.
Install Hopsworks today on any of the following cloud provider:
Minimum Requirements:
- Supported Platforms: AWS (EKS), Google Cloud (GKE), Azure (AKS), or OVHCloud.
- Kubernetes cluster version ≥ 1.27.0.
- Minimum of 4-5 nodes recommended.
- Administrative access to your cloud platform.
Required Tools:
- Kubernetes CLI (kubectl
)
- Package manager (helm
)
- Respective cloud CLI tool (aws
/gcloud
/az
)
- Other libraries (boto3, PyYAML
)
Read more on the installer's requirements on the github page .
Deployment For Enterprise can be deployed on Any Cloud, On Premises or in a Hybrid setup
For a production and developement deployment of Hopsworks Enterprise, contact us to know more about ouroptions on global or sovereign clouds and Enterprise SLAs.
Hopsworks Serverless is the simplest, most powerful way to get your models to production with a Python-centric Feature Store. Designed for ease of use and scalability, Hopsworks Serverless runs fully managed in the cloud—no infrastructure setup needed. Ideal for teams that want to move fast, you can start developing and serving features instantly.
Deploy and serve ML models at scale with Kubernetes-native tools, real-time inference, and end-to-end MLOps capabilities—no custom infrastructure needed.
Empower your workflows and connect seamlessly to any data ecosystem and streamline development with flexible, modular tools and automated workflows.
Go from notebooks to production in minutes with pre-built pipelines, serving endpoints, and seamless Python integration.