Docker Hub
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LoRA Explained: Faster, More Efficient Fine-Tuning with Docker
LoRA is a method that freezes a base model and adds trainable adapters to teach pre-trained models new behaviors, without overwriting their existing knowledge.
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IBM Granite 4.0 Models Now Available on Docker Hub
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, so you can prototype locally and scale confidently. The Granite 4.0 family is designed for speed, flexibility,…
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Llama.cpp Gets an Upgrade: Resumable Model Downloads
New: resumable GGUF downloads in llama.cpp. Learn how Docker Model Runner makes models versioned, shareable, and OCI-native for seamless dev-to-prod
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Fine-Tuning Local Models with Docker Offload and Unsloth
Learn how to fine-tune models locally with Docker Offload and Unsloth and how smaller models can become practical assistants for real-world problems.
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Run, Test, and Evaluate Models and MCP Locally with Docker + Promptfoo
Learn how promptfoo and Docker help developers compare models, evaluate MCP servers, and even perform LLM red-teaming.
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Beyond Containers: llama.cpp Now Pulls GGUF Models Directly from Docker Hub
Learn how llama.cpp is using Docker Hub as a powerful, versioned, and centralized repository for your AI models.
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Docker Model Runner General Availability
Docker Model Runner offers a new way for developers to manage, run, and share local AI models with cutting-edge features and more on the way.
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MCP Security: A Developer’s Guide
MCP security refers to the controls and risks that govern how agents discover, connect to, and execute MCP servers.
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