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

For the past two decades, distributed caches, also known as in-memory data grids, have been used to address such challenges.

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

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 ...

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 ...

ICEYE, the global leader in Synthetic Aperture Radar (SAR) satellite operations, today announced the launch of Tactical Access, a new commercial SAR product. Tactical Access is a subscription tasking ...

X-series flagships: the X300 and X300 Pro. Celebrating vivo's 30th anniversary, the series underscores the brand's deep commitment to user-oriented innovation and technical ...

FinOps for AI has a number of factors that are similar to cloud, SaaS and UCaaS, such as the need to normalize how costs are ...

The deal will give Microsoft access to compute infrastructure built with Nvidia's GB300 GPUs, which will be deployed over ...

Traditionally, the term “ braindump ” referred to someone taking an exam, memorizing the questions, and sharing them online for others to use. That practice is unethical and violates certification ...

The energy sector is using AI in smart grid management systems to balance energy loads, mitigating the stress from peak demands to reduce disruptions and overall emissions. In telecommunications, AI’s ...