Businesses must be ready for the next phase of cloud by seeking out the providers that can evolve alongside industry shifts.

Smart connectivity made simple with scalable edge AI and 5G-ready IoT solutionsKEY POINTSUnified edge intelligence: ASUS IoT ...

Performance enhancement, cost reduction, data security, and improved energy efficiency are the end goals for optimizing AI workloads at the edge.

The cloud is no longer just a place to store information; it is now the centre for decision-making and innovation, supporting ...

As AI workloads move from cloud to edge, the volume of image and sensor data across industries is rising rapidly. Edge ...

Google and Oracle will provide the Navy access to cloud landing zones and advanced tools, such as generative AI.

AI-ready infrastructure solutions, hosted at the edge in Miami data centers, have been introduced by the cloud and bare metal ...

Nvidia has been the top stock pick in the market over the past three years, thanks to its industry-leading graphics ...

Internet outages in APAC now spread faster because countries and industries depend on the same narrow set of cloud and ...

Cerebras Systems, a US-based company pioneering AI computing systems, makes deep learning possible with leading-edge hardware ...

Extends Akamai Cloud with a programmable platform that simplifies the deployment of AI and other functions at the edge ...

Both cloud-based and edge AI hardware will continue getting better, but the balance may not shift in the NPU’s favor. “The cloud will always have more compute resources versus a mobile device,” said ...