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

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

Modern defence capability no longer begins with submarines or fighters. It begins with infrastructure. Data centres, subsea ...

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 ...

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

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 ...

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 ...

What is the Market Size of AI on EDGE Semiconductor? The Global AI on EDGE Semiconductor Market was valued at USD 3246 Million in the year 2024 and is projected to reach a revised size of USD 9342 ...

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