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¿Docker acaba de MATAR a Ollama con esta Nueva Función?

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¿Docker acaba de MATAR a Ollama con esta Nueva Función?

AI Summary

Docker Model Runner Overview

  • A new tool by Docker designed to run AI models as local services using containers.
  • Aims to simplify the deployment of AI models by eliminating complicated configurations.

Context

  • Running Large Models (LMs) locally typically requires complex setups and dependencies, often relying on tools like Olama.

Key Features

  1. Installation
    • Requires Docker Desktop (latest version: 4.40.0).
    • Currently in beta, available only for Apple Silicon Macs.
  2. Enabling Docker Model Runner
    • Navigate to Settings → Features in Development and enable Docker Model Runner.
  3. Checking Installation
    • Use command: docker model status to verify if the Docker Model Runner is running.
    • Use docker model help to see available commands.
  4. Downloading Models
    • Access Docker Hub for available models.
    • Use command: docker model pull [model_id] to download a desired model.
    • Check downloaded models using docker model list.
  5. Running Models
    • Execute models with: docker model run [model_id] and provide input prompts.
    • Options for interactive mode available.
  6. API Integration
    • Supports TCP for local API access, similar to Open AI API.
    • Example of a POST request using Postman with a sample JSON payload.

Comparison with Olama

  • Installation: Docker Model Runner easier with enabled features; Olama requires separate installation.
  • Integration: Native Docker integration beneficial for development workflows.
  • Performance: Optimized for faster inference on Apple Silicon; Olama lacks similar optimization.
  • Available Models: Limited but expanding; Olama has a wider variety of existing models.

Conclusion

  • Docker Model Runner is positioned as a game changer for AI model deployment in development environments, though still in beta. It may outperform Olama for developers, while Olama may be more suited for casual users or those without Docker knowledge.

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