Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Santa Clara, CA / Syndication Cloud / March 3, 2026 / Interview Kickstart The rapid acceleration of AI adoption across ...

The IT infrastructure that supports workloads and applications is one of the few things that has remained constant in the technology space over time. While AI and ML have been around for almost as ...

AI workload demands continue to expand, with generative AI a driver of further investment in infrastructure. Trying to rein in AI infrastructure expenditure will prove challenging in the context of ...

New hyperscale campuses, GPU infrastructure deployments, energy projects, and policy debates illustrate how the race to build AI data centers is accelerating across North ...

The rapid expansion of artificial intelligence initiatives across enterprise environments has given rise to a new class of ...

Opinions expressed by Digital Journal contributors are their own. In the rapidly changing field of artificial intelligence (AI), the infrastructure supporting these advanced systems often goes ...

This guest article from Matt Miller, Director of Product Marketing for WekaIO, highlights why focusing on optimizing infrastructure can spur machine learning workloads and AI success. Managing ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.