Google DeepMind unveiled a way to train advanced AI models across distributed data centers. Known as decoupled distributed low-communication (DiLoCo), the architecture isolates local disruptions such ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing. Organizations are modernizing AI data center infrastructure with GPU computing, ...

What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...

Dave McCarthy, Research Vice President for Cloud and Infrastructure Services at IDC, joins SDxCentral’s Kat Sullivan to discuss how the AI cloud stack is evolving as companies move from model training ...

Training a frontier AI model means keeping thousands of GPUs synchronized for weeks on end. When a single network link fails, ...

BluSky AI Inc., a next-generation AI infrastructure company developing a distributed Neocloud network for large-scale model training and inference computing, today announced that it has selected IBN, ...

AI startups are expanding at a remarkable pace, but unlike previous generations of technology companies, many of today’s AI ...

Blue Yonder, the AI company for supply chain, today announced its Model Training Factory, built on NVIDIA Nemotron, to accelerate the development of specialized AI agents for the autonomous supply ...

South Korean researchers have successfully developed a core technology that can fundamentally resolve "memory shortages," a ...

Decentralized AI promises resilience and user control. But as Lado Okhotnikov's vision gains traction, a harder question ...

In December, several figures in the AI field, including Lado Okhotnikov, argued that decentralised AI could offer an ...