The cost and sustainability of generative AI

The cost and sustainability of generative AI

AI is resource intensive for any platform, including public clouds. Most AI technology requires numerous inference calculations that add up to higher processor, network, and storage requirements—and higher power bills, infrastructure costs, and carbon footprints.The...
The cost and sustainability of generative AI

Orchestration and choreography in .NET microservices

As more businesses adopt microservice architectures for their applications, more developers have had to grapple with the concepts of orchestration and choreography. Although these terms are sometimes used interchangeably, there are key differences between these two...
The cost and sustainability of generative AI

Protocols, APIs, and conventions

The fediverse is wired together by protocols like ActivityPub and WebFinger which, as yet, I know very little about. That’s because the Steampipe plugin, which supports the dashboards I’ve been building and describing in this series, doesn’t require me to understand...
The cost and sustainability of generative AI

Cobol in .NET with Otterkit

As much as enterprise IT evolves, we’re left running old hardware and software for many reasons. Perhaps there’s a regulatory requirement to keep data for as long as possible; perhaps there’s a dependency on code that remains reliable and supported even after decades....
The cost and sustainability of generative AI

Docker, Maven lead the way in packages

When it comes to the most prominent software package technologies, Docker containers, Apache Maven Java project management, and NPM JavaScript packages led the way in a recent study examining deployments of the JFrog Artifactory repository manager.The JFrog Software...