It’s clear why no manufacturing executive wants to bet everything on a pure data model. Centralized architectures are robust, but can be slow and reactive.

Companies are moving their information offservers and ontospecialized networks. Even as data storage has evolved from floppy disks to hard drives with thousands of times the capacity, the quantity of ...

Today we dive deeper into the differences between centralized and distributed performance optimization solutions. The technical functions that Centralized and Distributed ADS solutions perform are ...

Where we are today is not hybrid cloud rebranded. Hybrid was a transition strategy. Distributed is an entirely new operating environment, where cloud infrastructure and services are physically located ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Today, Samsung Next, the venture capital arm of Samsung Electronics, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Kenneth Harris, a NASA veteran who worked on ...

The explosion of AI companies has pushed demand for computing power to new extremes, and companies like CoreWeave, Together AI and Lambda Labs have capitalized on that demand, attracting immense ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Healthcare and insurance payers spend ...

Folks often get confused about the difference between centralized (a.k.a., asymmetrical or single ended) and distributed (a.k.a., symmetrical or dual-ended) application performance solutions.

Claudio Saes is a partner and telecom practice leader at Bell Labs Consulting, a group of the award-winning Nokia Bell Labs. Since the dawn of time, our ancestors leveraged distributing strategies to ...