Tomorrow's AI services depend on networks built for massive inference growth.

ATLANTA – RED HAT SUMMIT--(BUSINESS WIRE)--Red Hat, the world's leading provider of open source solutions, today announced that Zero Latency (0.lat), a distributed AI inference network, has adopted ...

It is almost certainly not a coincidence that a networking expert at Google has risen to the top to be put in charge of the infrastructure development at the search engine, advertising, and now AI ...

The AI industry has converged on a deceptively simple metric: cost per token. It’s easy to understand, easy to compare, and easy to market. Every new system promises to drive it lower. Charts show ...

Abstract: Massive multiple-input multiple-output (MIMO) stands as a key technology for advancing performance metrics such as data rate, reliability, and spectrum efficiency in the fifth generation (5G ...

As AI workloads shift from centralized training to distributed inference, the network faces new demands around latency requirements, data sovereignty boundaries, model preferences, and power ...

Purpose-built network fabric designed to accelerate delivery of real-time and agentic AI applications with improved throughput and power efficiency while reducing token retrieval time, latency, and ...

Arrcus launched a new network fabric layer targeted at potential traffic bottlenecks caused by the growing use of AI inferencing services. The Arrcus Inference Network Fabric (AINF) is designed to ...

The multibillion-dollar deal shows how the growing importance of inference is changing the way AI data centers are designed and operated. OpenAI has signed a multibillion-dollar agreement to buy ...