Meta has provided a rare glimpse into the company's storage infrastructure, claiming the system underpinning its AI ...

The funding will support the development of Sherpa.ai's AI platform and accelerate its international expansion across key ...

While large-scale training models often capture public attention, it is AI inference—the continuous, real-time execution of trained models—that is rapidly reshaping how digital infrastructure must be ...

The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...

Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...

A new installment of Chain of Thought, the Brownstone Research newsletter written by Ben Lilly, argues that the battle over open-source artificial ...

China’s Meituan open-sources massive LongCat-2.0 AI model, saying it was trained on domestic chips - SiliconANGLE ...

Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...

AI infrastructure spending is broadening beyond model training into inference, edge distribution, and data center ...

In the AI era, successful recovery means restoring not just data but trust, and Dell PowerProtect is designed specifically to ...

Learn why scalable AI needs balanced servers, storage, networking, and data access to support training, inference, and RAG at ...

Qualcomm's data center entry analyzed: how the Modular acquisition, HBC memory architecture, and Arm-based C1000 CPU ...