For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving ...

PHIL AI is pursuing an open ecosystem strategy by collaborating with infrastructure and application partners to support end-to-end AI workflows. Through integrations with decentralized compute ...

The retailers succeeding today are not choosing between cloud and on-premises infrastructure. They’re combining both with ...

ZKP draws attention with its 190M daily token model as Solana price hits unusual levels and Story crypto slides, reshaping ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI ...

Here's why the next great AI company won't own a data center — and what that means for founders.

AI browsers are much more than just another application - they’re essentially becoming platforms upon which a whole range of ...

SimActive introduces distributed processing in Correlator3D, enabling faster photogrammetry workflows and scalable mapping.

After all, some of the early iterations of AI browsers basically took the Chromium engine, added a slightly modified UI, and replaced the traditional search bar on the home page with a chatbot prompt.

In today's AI and high-performance computing (HPC) scenarios, we are increasingly aware of the limitations of traditional TCP ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack ...