Self-Host Thumper-Run: AI Platform for Your Team

Self-Host Thumper-Run: AI Platform for Your Team

TThumper Team2026-02-05T10:00:00Z8 min read
self-hostingenterpriseteamsdocker

Prepare a self-hosted Thumper-Run environment for your team and keep infrastructure policy under your administration.

Why Self-Host?

Teams need shared AI infrastructure but cannot afford to send proprietary data to cloud providers. Self-hosting Thumper-Run gives your team:

  • Shared model library – download models once, share across the team
  • Centralized app catalog – IT controls which AI tools are available
  • Server-assisted sync – keep the configured relay under your administration
  • Audit logs – record the operations exposed by the configured deployment

Deployment Options

Thumper-Run supports two self-hosted deployment models:

Docker Compose (recommended for small teams, 2–20 people):

  • Single server with Docker
  • Includes the web shell, sync relay, and catalog service
  • Minimal configuration required

Kubernetes (for larger deployments):

  • Helm chart with autoscaling
  • Separate services for web, sync, and model storage
  • GPU node pools for shared inference

See the self-hosting guide for detailed setup instructions.

Quick Start with Docker

`bash

git clone https://github.com/thumper-ai/thumper-run

cd thumper-run

docker compose -f docker/docker-compose.yml up -d

`

This starts the web interface on port 3000, the sync relay on port 8443, and a PostgreSQL database. Team members point their desktop app at your server's URL.

Team Features

  • Shared catalog: Curate which apps your team can install. Add internal tools alongside public ones.
  • Model cache: Models downloaded by one team member are cached on the server. Others get them instantly.
  • Role-based access: Admin, Developer, and Viewer roles with different permissions.
  • Usage metrics: See aggregate usage statistics without compromising individual privacy.

Security Architecture

Self-hosting moves the service infrastructure and administrative trust boundary into your environment; it does not make the server zero-knowledge.

  • Current sync workflows are server-assisted and may expose content or keys needed to provide the service
  • Configure a supported OIDC provider and apply least-privilege roles
  • Use TLS for supported network hops and protect termination points
  • See the security docs for the current threat model and gated E2EE design

Hardware Recommendations

For a team of 10:

  • CPU: 8+ cores
  • RAM: 32 GB
  • Storage: 500 GB SSD (for models and app data)
  • GPU (optional): One GPU enables shared inference for team members without local GPUs

Ready to try it? Download Thumper-Run free →

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About the Author

T

Thumper Team

The team behind Thumper-Run.

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