Experimental News Clipping Site

Tag: model catalog

  • Docker: IBM Granite 4.0 Models Now Available on Docker Hub

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/ibm-granite-4-0-models-now-available-on-docker-hub/ Source: Docker Title: IBM Granite 4.0 Models Now Available on Docker Hub Feedly Summary: Developers can now discover and run IBM’s latest open-source Granite 4.0 language models from the Docker Hub model catalog, and start building in minutes with Docker Model Runner. Granite 4.0 pairs strong, enterprise-ready performance with a lightweight footprint,…

  • Cloud Blog: More choice, more control: self-deploy proprietary models in your VPC with Vertex AI

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/new-proprietary-models-vertex-model-garden/ Source: Cloud Blog Title: More choice, more control: self-deploy proprietary models in your VPC with Vertex AI Feedly Summary: Building the best AI applications requires both the freedom to choose the most powerful, specialized model for the task at hand, and a platform that can handle them all. This flexibility is core…

  • Docker: Docker Model Runner General Availability

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/announcing-docker-model-runner-ga/ Source: Docker Title: Docker Model Runner General Availability Feedly Summary: We’re excited to share that Docker Model Runner is now generally available (GA)! In April 2025, Docker introduced the first Beta release of Docker Model Runner, making it easy to manage, run, and distribute local AI models (specifically LLMs). Though only a…

  • Simon Willison’s Weblog: model.yaml

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/21/model-yaml/#atom-everything Source: Simon Willison’s Weblog Title: model.yaml Feedly Summary: model.yaml From their GitHub repo it looks like this effort quietly launched a couple of months ago, driven by the LM Studio team. Their goal is to specify an “open standard for defining crossplatform, composable AI models". A model can be defined using a…