IBM Granite 4.0 Models Now Available on Docker Hub: Accelerate Your Generative AI Workflow

With IBM Granite 4.0 models landing on Docker Hub, developers now have immediate access to state-of-the-art language technology, ready for experimentation and deployment. This integration combines the simplicity of Docker's platform with the advanced capabilities of IBM's latest AI, transforming the developer experience for enterprise and individual innovators alike.

Docker Hub: Expanding the AI Frontier

Docker Hub has become a central marketplace for AI model discovery and sharing. Its curated models, distributed as OCI Artifacts, allow seamless integration into containerized applications. 

The arrival of Granite 4.0 not only enriches Docker's model catalog but also signals a broader shift: making high-performance AI as accessible and manageable as any other software component.

Why Granite 4.0 Stands Out

• Hybrid Architecture: By blending the scalable efficiency of Mamba-2 with the precision of transformers, Granite 4.0 achieves faster processing and up to 70% lower memory consumption compared to traditional models. The selective activation of model parameters ensures that only what's needed is used, optimizing both speed and resource use.
  
  
• Massive Context Capability: With positional encoding removed, context windows can reach up to 128,000 tokens, limited only by your hardware. This empowers applications in document analysis and RAG that demand understanding of extensive content.
  
  
• Versatile Model Sizes: The Granite 4.0 family spans from lightweight 3B Micro models to robust 32B Small models, letting you tailor deployments for speed, efficiency, or capability as needed.

A Model for Every Application

• H-Small (32B, ~9B active): Designed for powerful RAG systems and intelligent agents, optimal for high-end GPUs.
  
  
• H-Tiny (7B, ~1B active): Suited for low-latency tasks on consumer hardware, such as the RTX 3060.
  
  
• H-Micro (3B, dense): Ideal for concurrent agent environments or devices with tight memory limits.
  
  
• Micro (3B, dense): A traditional model for deployments where Mamba-2 is not available.

This flexibility means developers can run advanced AI workloads on a wide range of devices, from powerful servers to everyday laptops.

Launch Instantly with Docker Model Runner

The Docker Model Runner tool lets you spin up Granite 4.0 models using a single command, exposing a familiar OpenAI-compatible API. Whether you’re developing locally or scaling in the cloud, deployment is fast, portable, and reproducible:

docker model run ai/granite-4.0-micro Copy

Choose any variant from the Model Catalog and follow detailed documentation for smooth integration, supporting everything from chat modes to advanced API workflows.

Unlock a World of Possibilities

• Document Summarization and Analysis: Quickly process complex legal, technical, or research documents.
  
  
• Enhanced RAG Systems: Build assistants and chatbots that leverage external knowledge sources for smarter responses.
  
  
• Agentic Workflows: Coordinate multiple compact models for advanced, multi-step reasoning tasks.
  
  
• Edge AI: Deploy Tiny models on resource-constrained devices for private, on-device intelligence without relying on cloud services.

Open-Source, Developer-First Innovation

Licensed under Apache 2.0, Granite 4.0 encourages commercial and custom applications. Docker and IBM invite developers to star, fork, and contribute to the Model Runner project, shaping the future of accessible, local AI. The collaboration brings enterprise-grade tools to everyone, fostering an open community where innovation thrives.

Ready to build the next generation of AI-powered solutions? Dive into Granite 4.0 on Docker Hub, join the open-source movement, and realize the potential of fast, flexible, and scalable AI today.

Source: Docker Blog