However, in the world of AI, there are more capable pieces of hardware than Nvidia GPUs. Custom AI accelerators, like the Google tensor processing unit (TPU), can vastly outperform Nvidia GPUs in particular tasks. The catch is that a workload must be set up in a particular way, which can take a lot of time.

Just as the internet once redefined global commerce, generative AI will dictate the future of the digital economy.

As AI transforms cloud computing and quantum capabilities become accessible as services, 2025 marks a pivotal year for cloud technology innovation.

Technological evolution is an ongoing process that occurs at an alarming rate; however, some technologies can be noted to have brought about a significant revol

What if companies are beginning to see that an alternative approach, using hybrid computing architectures, might be a better choice for building and running GenAI applications?

A huge upswing in the number of data centers shows no signs of slowing down, prompting Big Tech to consider how best to power the AI revolution.

Mahmoud Abouelyazid is making strides in machine learning and cloud resource optimization within Silicon Valley’s tech scene. As the CTO and co-founder of EXODIA AI Labs, his research aims to help businesses use artificial intelligence and cloud computing better,

Microsoft may be ahead of Google in cloud computing, but the two tech giants are still battling for AI dominance — and ramping up their multibillion-dollar expenditures in the process. Both Big Tech companies reported earnings this week,

Despite these challenges, integrating AI with cloud computing remains a key focus area, providing essential infrastructure for scaling AI initiatives. Companies continue to explore cloud solutions to support their AI ambitions. However, we know now that ...

Artificial intelligence (AI) cloud computing provider Sharon AI has expanded its GPU cloud. The company has added 160 Nvidia H100s to its GPU cloud platform, deployed at NextDC's Melbourne data center in Australia.

As retail evolves, edge computing and AI are rapidly becoming the backbone of smart, efficient and customer-focused operations.

Most firms will continue to run GenAI applications in the cloud, but there’s pent-up demand to move some workloads behind corporate firewalls. We're bound to see the rapid rise of hybrid AI.