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.
At the Lenovo Tech World conference, the company reached well beyond hardware to present an end-to-end approach to AI for both enterprises and individuals.
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
As AI transforms cloud computing and quantum capabilities become accessible as services, 2025 marks a pivotal year for cloud technology innovation.
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.
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,
Competition between the two old rivals is heating up when it comes to cloud and AI dominance.
The integration of specialized AI chips within cloud services represents a significant shift in cloud computing architecture. Cloud providers are moving beyond generic computing resources to offer highly specialized AI training and inference capabilities.
We recently published a list of 12 AI News and Ratings You Should Not Miss. In this article, we are going to take a look at where Arista Networks, Inc. (NYSE:ANET) stands against other trending AI stocks on the latest analyst ratings and news.
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.
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?