As data volumes surge and AI adoption accelerates across federal agencies, traditional CPU-based analytics systems are hitting their limits—slowing decision-making, increasing costs, and creating bottlenecks in mission-critical operations. By modernizing with GPU-based solutions, ...

Federal agencies handle complex datasets across multiple analytic systems, facing challenges in consistency, compatibility and efficiency. Ibis, an open-source Python DataFrame library, provides a uniform API that integrates with diverse backends - SQL databases, analytics engines and in-memory tools. By enabling reusable ...

Government agencies manage unprecedented volumes of data, requiring flexible, scalable and secure solutions to meet evolving mission demands. Modular and composable data systems offer a powerful alternative, enabling agencies to dynamically build, adapt and scale their data infrastructure while ensuring security and ...