On-Premise Data Labeling Platform

20 min read

Deploy TigerLabel in your own infrastructure for maximum control over your training data and annotation workflows.

System Requirements for On-Premise Deployment

  • Kubernetes 1.24+ cluster (EKS, GKE, AKS, or self-managed)
  • PostgreSQL 14+ database for metadata
  • Redis 7+ for caching and real-time features
  • S3-compatible object storage for images and training data
  • Minimum: 8 CPU cores, 32GB RAM (scales based on team size)

On-Premise Deployment Steps

  1. Configure Helm values for your environment
  2. Deploy database and storage dependencies
  3. Install TigerLabel Helm chart
  4. Configure ingress, TLS, and authentication
  5. Run initialization and migration scripts
  6. Set up backup and monitoring
Pro Tip: Contact our enterprise team for a dedicated deployment engineer to assist with your on-premise installation and configuration.