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

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

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

Join senior IT, security, and engineering leaders at Cyber Security & Cloud Expo Global 2026 in London (4–5 Feb) to explore ...

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

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

The PDU market is poised for growth due to increasing demand for efficient power management in data centers and industrial ...

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

Azure Local and IoT Operations received a broad set of updates this week as Microsoft moved to expand AI-enabled edge ...

IBASE Technology Inc. (TPEx: 8050), a leading manufacturer of industrial computing and edge AI platforms, announces the ...

Rising energy costs and AI workloads are forcing the internet’s biggest players to rebuild their data centers around ...

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 ...