As artificial intelligence (AI) usage and sophistication grows, questions about the sustainability of the traditional model of utilizing huge, centralized data centers are frequently raised.

Neel Somani, a researcher and technologist with a strong foundation in computer science from the University of California, Berkeley, focuses on advancements of distributed computing across personal ...

Distributed computing erupted onto the scene in 1999 with the release of SETI@home, a nifty program and screensaver (back when people still used those) that sifted through radio telescope signals for ...

Data is distributed. By its very nature, we work with enterprise-level data across different documents, applications, databases and deeper systems; the fact that we can distribute any single piece of ...

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

As a subset of distributed computing, edge computing isn’t new, but it exposes an opportunity to distribute latency-sensitive application resources more optimally. Every single tech development these ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

With access to just a sliver of the 2.5 quintillion bytes of data created every day, AI produces what often seem like miracles that human intellect can’t match — identifying cancer on a medical scan, ...

Once, the world’s richest men competed over yachts, jets and private islands. Now, the size-measuring contest of choice is clusters. Just 18 months ago, OpenAI trained GPT-4, its then state-of-the-art ...