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

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

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

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

Markets computing company Beeks Financial Cloud said it has secured two notable contracts, further underpinning the board’s ...

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

OpenAI and TCS are close to finalizing a plan to build large AI infrastructure in India. This will help train AI models in ...

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

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

These Taiwan Excellence Award-winning companies are pioneering secure, high-performance AI and networking solutions.

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 ...