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 ...

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...

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

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

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

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

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

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...

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

Decentralized GPU networks are pitching themselves as a lower-cost layer for running AI workloads, while training the latest ...