Change is driven by the huge amount of data growth, with organizations now running workflows typically seen in High Performance Computing (HPC). Compute Systems, whether at the core, the cloud, or the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

SAN MATEO, Calif.--(BUSINESS WIRE)--Hammerspace, the company orchestrating the Next Data Cycle, today released the data architecture being used for training inference for Large Language Models (LLMs) ...

Siemens and nVent are collaborating to develop a liquid cooling and power reference architecture, purpose-built for ...

An open, services-oriented approach has clear advantages for building modular and scalable applications. We should take the same approach to our data. Data analytics solutions are continuing to emerge ...

Bank of America Merrill Lynch has launched a strategic initiative to address its enterprise reference data needs globally, aiming for comprehensive integration of a consolidated reference data ...

Nvidia has been talking about AI factories for some time, and now it’s coming out with some reference designs to help build them. The chipmaker has released a series of what it calls Enterprise ...

The demand for real-time analytics now spans nearly every industry, where every transaction, operation, and decision are characterized by its speed and freshness. While the push for real time is ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Our world is inherently decentralized. Over the last two decades, the ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

The race to deploy AI infrastructure is a defining technological challenge of the moment. Data center designers and operators are balancing competing priorities as they manage long-term data center ...