Author: Eduardo Monich Fronza

Organizations running GPU-powered generative AI (GenAI) inference workloads on Amazon Elastic Kubernetes Service (Amazon EKS) and Red Hat OpenShift Service on AWS (ROSA) can improve GPU utilization and reduce costs as they scale inference services into production. GPU instances in the Amazon Elastic Compute Cloud (Amazon EC2) P5en, P5, and G6e families deliver the compute […]

Generative AI applications depend on high-quality, structured data. For many organizations, however, unstructured enterprise documents contain valuable business knowledge such as PDFs, technical manuals, financial reports, contracts, and presentations. Organizations designed these documents for people to read, not for AI systems to retrieve and reason over. To make this knowledge accessible for AI, organizations adopt […]

Enterprise data teams build pipelines across Amazon Simple Storage Service (Amazon S3) and Amazon Relational Database Service (Amazon RDS), on-premises databases, and hybrid environments. They want to process data close to where it lives so they can reduce data movement, lower transfer costs, and meet data residency requirements. But when infrastructure changes, these teams end […]

Developers building AI-powered agent workflows need tools that give them full control over agent design, deployment, and lifecycle management. IBM watsonx Orchestrate, available on AWS Marketplace, provides the environment to build, deploy, and scale custom AI agents. The Agent Development Kit (ADK) is the pro-code framework within watsonx Orchestrate that gives developers complete control over agent […]

Organizations run AI workloads from real-time inference to large-scale model training on GPU-backed Amazon Elastic Compute Cloud (Amazon EC2) instances. As these workloads grow, demand on GPU, memory, and CPU resources shifts throughout the day. Keeping instance capacity aligned with this changing demand is key to maintaining application performance and optimizing costs. IBM Turbonomic on […]

IBM OpenPages, an AI-powered governance, risk, and compliance (GRC) solution, is now available on AWS Marketplace. You can access integrated risk management, regulatory compliance, and audit functions in a single software-as-a-service (SaaS) environment. When GRC functions operate from separate systems, teams spend more time consolidating information than acting on it. With rapidly changing regulatory obligations […]

Customers building AI and analytics workloads often need to move data across multiple sources, formats, and integration styles. As organizations increasingly embed real-time and agentic workflows across hybrid environments, teams require robust integration functionality, flexibility, portability, and governance. IBM watsonx.data integration is now available on AWS Marketplace to help customers meet these requirements. It provides […]

Organizations are moving beyond AI agent prototypes to deploy them in production workflows where they act autonomously, coordinate across systems, and deliver consistent business outcomes. Building production-ready agents requires more than selecting a foundation model (FM), teams must define agent behavior, integrate tools and APIs, connect knowledge sources, configure multi-agent orchestration, and manage the full […]

As AI agent deployments grow across enterprise systems, organizations need a way to bring together foundation models, tools, and governance frameworks to scale AI reliably across business functions. IBM watsonx Orchestrate addresses this by bringing AI agents, business workflows, and enterprise integrations together in a single governed environment. It is available as a fully managed […]

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