The enterprise shift toward distributed systems of specialized AI agents is happening because reality is complex, and when ...

SageX, an AI-native enterprise data platform, today announced its position as the platform solving one of the most critical ...

When millions click at once, auto-scaling won’t save you — smart systems survive with load shedding, isolation and lots of ...

The concept of edge-first intelligence entails embedding critical data and inference models directly into the application or ...

GridGain donated the original Ignite code to The Apache Software Foundation (ASF) in 2014. GridGain is a Bronze Sponsor of the ASF, with several members of the GridGain team serving as active ...

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 ...

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 ...

Explore how gaming systems influence distributed systems design through low latency and cloud computing. Anand Ganesh shares insights on real-time data processing.

New distributed reinforcement learning system cuts post-training costs by up to 80%, expanding access to advanced AI beyond ...

Emerging electronic control challenges in process industries revolve around the increasing complexity and connectivity of systems, alongside the need for greater efficiency, reliability, and security.