Category: Compute

Across R&D organizations, AI agents are beginning to design molecules, plan syntheses, execute assays, and analyze experimental data. But these systems often operate without awareness of prior experiments, failed approaches, or parallel work happening across the organization. In this blog, learn how Sanofi recognized this limitation early and partnered with Amazon Web Services (AWS) to reimagine the foundation for AI-enabled discovery.

In the retail and consumer packaged goods (CPG) industry, accurate food labeling is a critical safety requirement. Retailers face an increasingly complex challenge: manually verifying that thousands of packaged foods comply with FDA regulations—particularly the allergen labeling requirements under the Food Allergen Labeling and Consumer Protection Act (FALCPA) of 2004.

Manufacturing organizations can now reduce simulation cycle times from days to hours by integrating Teamcenter Simulation with AWS ParallelCluster — eliminating high performance compute (HPC) queuing bottlenecks while maintaining full data traceability. The demand for high-fidelity engineering simulations such as Computational Fluid Dynamics (CFD), Finite Element Analysis (FEA), and Multi-physics analyses continues to grow as […]

Introduction Voice communications infrastructure remains a critical challenge for organizations migrating to the cloud. While IT workloads successfully move to AWS, Session Border Controllers (SBCs) often stay anchored to legacy hardware platforms that cannot scale dynamically or integrate with modern cloud operations. Ribbon’s SBC Cloud Native edition (CNe) on Amazon Elastic Kubernetes Service (Amazon EKS) […]

Learn more about Engineering Development Hub (EDH), a unified, cloud-based engineering workbench that brings together the applications, compute, and data you need to design, test, and validate complex systems—all in a single, open source environment.

In a previous blog post, we described how AUMOVIO built an AI-powered engineering assistant on Amazon Bedrock that generates automotive-grade embedded code. That system accelerates development

When AWS released Amazon S3 Tables, this calculus changed. In this post, you will learn how Amica reduced their ETL job runtimes by 80% by building a data lake for core insurance data using S3 Tables.

Retailers have always stubbed their toes on early technology adoption—from scanned product barcodes ringing up at the wrong price, to self-checkout lanes that created more shrink than savings, to ecommerce platforms that oversold products they couldn’t ship. But every time, the retailers who learned to master the technology, instead of abandoning it, were the ones who pulled ahead. AI agents are no different.

In this post, we present a deployable reference architecture that addresses both challenges simultaneously. We show how Amazon Bedrock AgentCore orchestrates a single AI agent that reasons across unstructured documents in Amazon S3 and structured data in Snowflake.

In this blog, learn how Kite, a Gilead Company, modernized its bioinformatics infrastructure by transitioning from fragmented, project-specific workflows to a standardized, cloud-enabled approach using AWS HealthOmics. Discover how this collaboration with AWS Professional Services enabled over 100 researchers to access scalable, self-service computational workflows through their existing laboratory systems—without requiring CLI or infrastructure expertise.