Unlocking the Power of AWS Generative AI in Hybrid Environments
CloudMates offers its "Generative AI Anywhere" solution, enabling customers to seamlessly leverage AWS Generative AI services across hybrid environments. Our offering allows businesses to deploy AWS services in Regions, Local Zones, or Outposts based on their specific needs. CloudMates solutions can help customers enhance customer experiences (chatbots, virtual assistants, personalization), boost employee productivity (conversational AI, content creation, code generation, data insights), and optimize business processes (document processing, data augmentation, fraud detection, process optimization).
AWS Region Based Deployments
CloudMates Generative AI solutions are based on the AWS Generative AI stack, which includes:
Infrastructure for FM Training and Inference: GPUs, Trainium, Inferencia, SageMaker, UltraCluster
Tools to Build with LLMs and Other PMs: Bedrock
Applications that Leverage LLMs and Other FMs: Amazon Q, Amazon Q in Connect, Amazon Q for QuickSight
For deployments within AWS Regions, customers can utilize AWS Bedrock hosted models. AWS Bedrock offers a range of capabilities, including access to state-of-the-art foundation models from leading AI companies. Bedrock simplifies building and scaling generative AI applications with its fully managed service, providing customizable APIs, managed infrastructure, and integrated security. Integration options include Bedrock agents or API-based approaches, ensuring flexibility and efficiency.
Hybrid Deployment Scenarios
CloudMates deploys foundational models on GPU-powered instances in Local Zones or Outposts, utilizing SageMaker JumpStart and Bedrock agents to meet latency and regulatory requirements. In scenarios where AWS Regions are not available within a country, or data must remain on-premises due to regulatory compliance, such as PII or PHI, hybrid solutions are essential. This is particularly relevant in regions like the Middle East, where stringent data residency laws necessitate keeping sensitive data within national borders. Bedrock agents facilitate seamless interactions between on-premises LLMs and AWS-hosted models, optimizing performance for non-sensitive queries while maintaining stringent security.
These deployments support use cases like customizing FMs to meet data residency requirements, performing local FM inference to comply with regulatory standards, and providing real-time insights for latency-sensitive applications. Techniques like Federated Learning or Advanced Swarm Intelligence can enhance model security and performance across distributed environments, ensuring compliance and efficiency.
Use Cases
Data Sensitization: On-premises secure language models process sensitive data, while region based AWS Bedrock hosted models generate comprehensive reports.
Insurance Claims Processing: Our hybrid solution enabled Metrics ERP to meet an insurance customer's requirement to access on-premises claims data, enhancing their staff's efficiency in retrieving relevant information securely.
Real-Time Analytics: Combining on-premises data processing with cloud-based LLMs to provide real-time insights and analytics without compromising data integrity.
Customer Personalization: Deploying models locally for latency-sensitive tasks such as personalized recommendations, while leveraging cloud-hosted models for broader analytical tasks.
Regulatory Compliance: Ensuring compliance with regional data protection laws by processing and storing sensitive data locally while utilizing the cloud for non-sensitive operations.
Cross-Industry Applications: From healthcare providers analyzing patient records to financial services processing transactional data, hybrid AI solutions offer versatile and compliant options for various industries.
Case Study: Metrics Business Solutions
Metrics ERP, a leading provider of ERP, CRM, and POS solutions, faced a unique challenge from their insurance customer. The need to access insurance claims data securely on-premises required a robust, hybrid AI solution. CloudMates deployed a hybrid environment using Amazon Bedrock Agent, AWS Lambda, and Deep Learning AMI-based EC2 instances hosting light LLMs on GPU-powered g4dn instances in an AWS Local Zone. This setup facilitated a chatbot solution for insurance claim agents, allowing them to access knowledge bases from on-premises systems while handling generic queries in the AWS Region. This seamless integration ensured regulatory compliance, enhanced data security, and improved operational efficiency, empowering Metrics ERP to deliver superior service to their clients
Discover how CloudMates can transform your business with cutting-edge generative AI solutions tailored to your unique needs. For more details, visit CloudMates and explore Metrics ERP.
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