Deploy IBM Granite 4.0 models on Amazon SageMaker AI

This article demonstrates how to deploy IBM Granite 4.0 models on Amazon SageMaker AI from AWS Marketplace, with practical implementation guidance and enterprise use cases.

• IBM Granite 4.0 uses hybrid Mamba-2 and transformer architecture for 70% memory reduction
• Linear scaling of computational requirements as context length increases, maintaining consistent throughput
• Three model variants: h-micro (3B), h-tiny (7B active), h-small (32B active parameters)
• Deployment includes secure RAG architecture with API Gateway, Lambda, Cognito, and S3 Vectors
• Three use cases demonstrated: code generation, Fill-in-the-Middle completion, and tool calling
• Enterprise security features: TLS encryption, AWS WAF, KMS, IAM roles, VPC isolation
• Supports multiple instance types: G6e, P5, P4d for flexible performance and cost optimization
• Models trained on 512K token context, validated up to 128K tokens

IBM Granite 4.0 on SageMaker AI enables efficient enterprise AI deployment with reduced infrastructure costs while maintaining scalability for code generation, document analysis, and agentic workflows.