Industrial Physical AI on AWS with Galeo Tech and Multiverse Computing

This article demonstrates how Galeo Tech and Multiverse Computing enable production-grade industrial Physical AI on AWS through data pipelines, MLOps automation, and model compression.

• Galeo Tech bridges operational technology and cloud platforms with edge gateways and industrial data ingestion pipelines using AWS IoT Core, SiteWise, and Greengrass
• Automated MLOps pipelines deploy new model versions to edge device fleets with rollback capabilities using Lambda, DynamoDB, and IoT Jobs
• Multiverse Computing's CompactifAI uses quantum-inspired tensor networks to compress models up to 80% with negligible accuracy loss
• Compressed models achieve 50-80% lower inference costs, 43% lower latency, and 55% lower power consumption in computer vision workloads
• Complete Physical AI loop integrates data collection, model training via SageMaker, optimization, and edge deployment with observability via CloudWatch

The partnership demonstrates how specialized partners extend AWS infrastructure to deliver end-to-end industrial Physical AI solutions with production-grade data management and hardware-optimized model deployment.