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Having our cake and eating it too: HPC meets enterprise AI

The convergence of high-performance research computing and general-purpose IT is turning conventional wisdom on its head. High-Performance Computing (HPC) and general-purpose IT infrastructure have always been very different. This difference is very visible at top...

Building an intelligent multicluster scheduler with network link abilities

Simplify scheduling with an intelligent, multicluster-aware scheduler capable of automatically handling dependent Kubernetes resources and ensuring network connectivity between distributed services. Scheduling resources across a multicluster environment is not a...

Why open source is integral to US AI research infrastructure

The US is betting on open source to accelerate innovation in AI. Red Hat, the Mass Open Cloud, and IBM Research, as members of the AI Alliance, are supporting promising AI research for the National AI Research Resource Pilot. According to the 2025 AI Index Report1,...

Concurrent, scalable, and distributed astronomy processing in the AC3 framework

Astronomers at the Complutense University of Madrid collaborated with Red Hat engineers to streamline the data analysis process when working with massive datasets.  The AC3 (Agile and Cognitive Cloud-edge Continuum management) project is an EU Horizon-funded...

Unpacking AI’s black box: why authenticity and traceability must be built in

An AI Bill of Materials (AIBOM) is a critical tool for establishing trust for an AI application, but today they are far from standard. Learn what researchers are exploring.  Organizations are rapidly weaving artificial intelligence (AI) technologies into nearly...
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