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

Dave McCarthy, Research Vice President for Cloud and Infrastructure Services at IDC, joins SDxCentral’s Kat Sullivan to ...

Centralization in the AI industry is driven by the concentration of capital in large companies. Decentralization technologies can address both funding and operational challenges in AI. Crypto rails ...

For years, the most powerful artificial intelligence systems have been trained behind closed doors–inside massive data centers owned by a select few technology giants. These facilities concentrate ...

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 ...

After years of rapid advancement in cloud‑centric AI training and inference, the industry is reaching an edge AI tipping point.

In Atlanta, Microsoft has flipped the switch on a new class of datacenter – one that doesn’t stand alone but joins a dedicated network of sites functioning as an AI superfactory to accelerate AI ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Alongside the silicon announcement, Cisco introduced new fixed and modular switching systems in its Nexus 9000 and Cisco 8000 ...