“Edge computing also means less data travels long distances, lowering the load on main servers and networks,” says Neel ...

Anyscale Inc., creator of the open-source distributed computing platform Ray, today announced a new partnership with ...

The explosion of AI companies has pushed demand for computing power to new extremes, and companies like CoreWeave, Together AI and Lambda Labs have capitalized on that demand, attracting immense ...

For the past two decades, distributed caches, also known as in-memory data grids, have been used to address such challenges. By keeping fast-changing data in memory and distributing it in a cluster of ...

As AI, blockchain, and adaptive infrastructure converge, MCP servers are emerging as the digital backbone, delivering the low ...

In an economy driven by real-time data, the ability to make decisions at the edge, right where data is generated, has become ...

University of Melbourne’s Dr Jongkil Jay Jeong discusses AWS’ recent cloud outage that affected organisations around the ...

Traditional medical imaging follows a linear workflow: capture → transmit → store → analyze → report. This often involves large imaging files (e.g., DICOM for CT or MRI scans), reliance on PACS ...

The AI training contracts offered by BEYOND will make the sphere of crypto asset management transparent, reliable, and ...

These include support for Red Hat OpenShift on Nvidia BlueField data processing units, the introduction of a hardened ...

How Sovos and Tungsten combine automation with built-in tax validation to close the compliance gap in finance digitalization ...

As global IoT adoption expands, expected to exceed 30 billion connected devices by 2030, energy consumption has become a ...