How MLOps accelerates AI Model Deployment

In a fast-paced world, where consumers and organizations demand ever-evolving solutions, we take into serious consideration the new necessities regarding sustainability.

This is why we are more than excited to announce that Paolo Filippelli, Radicalbit’s DevOps Lead, will be addressing fundamental Green IT matters at Kubernetes Community Day Italy 2024 on June 20th at Savoia Regency Hotel in Bologna.

 

During his speech, entitled Green Cloud, Green Code: esploriamo il potenziale green delle tecnologie Cloud Native, he’ll explore the green potential of DevOps technologies.

Let’s look in detail at what he’ll talk about.

Cloud Native and Kubernetes have improved our IT delivery capabilities, but they may have had a direct or indirect impact on the environment too.

It’s our duty to use them in a responsible and sustainable way. Hence, regarding this matter, we need to increase our commitment to put into practice a conscious use of these technologies.

Thanks to Paolo Filippelli’s talk we’ll understand how to optimize the code, use sustainable power grids, responsibly scale workloads, use eco-friendly architecture patterns and integrate CO2 monitoring tools within our Kubernetes cluster.

Join us in our journey to the future with a green and environment-friendly Cloud. Take a look at the agenda and book your seat now!

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How MLOps accelerates AI Model Deployment

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MLOps is the bridge between machine learning and operations. A combination of methodology, tools and processes, it streamlines and automatizes the ML model lifecycle management, integrating ML workflows, pipeline and automation, continuous delivery and observability. This article explains how MLOps can be the conductor that makes all the difference.