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

Azure Local, powered by Azure Arc, is reshaping the landscape of distributed computing by bringing cloud capabilities to affordable hardware at remote locations. This innovative approach addresses ...

Native integration with ZEDEDA’s orchestration solution for the distributed edge enables end-to-end remote management of the entire Azure IoT Edge software stack on distributed edge computing nodes at ...

CAMBRIDGE, Mass.—Akamai has launched Akamai Connected Cloud, a massively distributed edge and cloud platform for cloud computing, security, and content delivery that keeps applications and experiences ...

AUSTIN, Texas, July 31, 2025 /PRNewswire/ -- Acumera, a leading provider of secure edge connectivity, visibility, and computing solutions, today announced the acquisition of Scale Computing, a pioneer ...

Today, using REST/JSON is about as familiar to developers as breathing. Practically every library, programming language, and ...

As a member of the Consortium, Morgenrot will leverage its expertise in HPC and computing resource optimization to contribute to the collaborative data processing infrastructure for vehicles, networks ...

D-Wave Computing is upgraded to Buy, driven by positive quantum sector developments and Nvidia's NVQLink announcement. Learn ...

Distributed cloud, according to Gartner, “is the distribution of public cloud services to different physical locations, while the operation, governance, updates, and evolution of the services are the ...

FPGAs are firmly represented in data centers: they perform various computational and acceleration tasks that will only increase in the complexity along with the advancement of technology. Similarly, ...

The worldwide edge computing market is exploding, expected to grow over 12 percent annually to $250 billion by 2024, according to IT research firm IDC. The goal of edge computing is to reduce latency ...

AI models are rapidly increasing in complexity, demanding more powerful computing resources for effective training and inference. This trend has sparked significant interest in scaling computational ...