Docker Model Runner
docker.comSummary
Ask questionsDocker Model Runner is a tool that enables developers to run and test AI models, specifically LLMs, locally using Docker's existing ecosystem. It aims to provide cost savings and data privacy by allowing local inference with GPU acceleration and easy integration into existing development workflows.
Features0/31
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PricingSubscription
See allPersonal
- Docker Desktop
- Docker Engine + Kubernetes
- Docker Hub
- Docker Scout
- 1 user
- 1 Docker Scout-enabled repo
- 100 Docker Hub pulls/hr
- 1 private Docker Hub repo
Pro
- Docker Build Cloud
- Testcontainers Cloud
- Synchronized File Shares
- Docker Debug
- Visibility into Docker Scout health scores
- 5 day support response
- 1 user
- 2 Docker Scout-enabled repos
- Unlimited Docker Hub pull rate
- 200 Docker Build Cloud build minutes
- 100 Testcontainers Cloud runtime minutes
Team
- Add users in bulk
- Audit logs
- Docker Hub role-based access control
- 2-day support response
- Up to 100 users
- Unlimited Docker Scout-enabled repos
- Unlimited Docker Hub pull rate
- Unlimited private Docker Hub repos
- 500 Docker Build Cloud build minutes
- 500 Testcontainers Cloud runtime minutes
- 10 Organization access tokens
- 1 Docker Hub organization
Business
- Hardened Docker Desktop
- Single Sign-On (SSO)
- SCIM user provisioning
- Image and Registry Access Management
- Desktop Insights Dashboard
- Enhanced container Isolation (ECI)
- Purchase via invoice
- Priority case routing
- 24-hour support response
- No user cap
- Unlimited Docker Scout-enabled repos
- Unlimited Docker Hub pull rate
- Unlimited private Docker Hub repos
- 1,500 Docker Build Cloud build minutes
- 1,500 Testcontainers Cloud runtime minutes
- 100 Organization access tokens
- Unlimited Docker Hub organizations
Rationale
Docker Model Runner is a tool for running AI models locally using Docker. It focuses on providing a local-first LLM inference solution for developers, allowing them to test and run AI models with familiar Docker commands. While it deals with AI models, it does not offer file organization, conversational AI for file management, or any of the specific features related to file editing, sorting, or content-based queries as described in the Dynbox concept. It is a development tool for AI models, not a file management system.
