Equinix launches Distributed AI Hub, enabling enterprises to connect and simplify complex distributed AI ecosystems.

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

AI infrastructure is undergoing somewhat of an evolution, with the shift from training to inference meaning computational ...

AIStor provides a unified data foundation supporting the NVIDIA STX reference architecture, accelerating training, enterprise RAG, and real-time agentic inference throughout the AI lifecycleREDWOOD ...

Integrated with Palo Alto Networks to deliver real-time threat detection for AI workloads Equinix, the world’s digital infrastructure company, today unveiled the Distributed AI Hub, powered by Equinix ...

The inference era is not here yet at full scale. But the infrastructure decisions made today will determine who is well-positioned when it arrives ...

For years, storage sat quietly in the background of enterprise infrastructure. It was necessary but unglamorous, and rarely the centerpiece of innovation. But 2026 marks a decisiv ...

Akamai Inference Cloud is the industry's first global-scale implementation of NVIDIA AI Grid, intelligently routing AI ...

Japan is rethinking how it builds AI infrastructure, writes Oren Bernstein, Intralink North America. Rather than developing giant campuses on the outskirts of towns, it is going smaller and smarter.

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Nvidia Corp. today announced blueprints for artificial intelligence training data generation to enable massive-scale processing and generation of data for the AI models needed to drive the next ...

CHICAGO, IL, UNITED STATES, March 10, 2026 /EINPresswire.com/ -- A data engineer from Optum breaks down the realistic ...