In the evolving world of AI, inferencing is the new hotness. Here’s what IT leaders need to know about it (and how it may impact their business). Stock image of a young woman, wearing glasses, ...

In 2025, the worldwide expenditure on infrastructure as a service and platform as a service (IaaS and PaaS) reached $90.9 billion, a 21% rise from the previous year, according to Canalys. From I’m ...

As the AI infrastructure market evolves, we’ve been hearing a lot more about AI inference—the last step in the AI technology infrastructure chain to deliver fine-tuned answers to the prompts given to ...

Designing AI/ML inferencing chips is emerging as a huge challenge due to the variety of applications and the highly specific power and performance needs for each of them. Put simply, one size does not ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...

Broader AI adoption by enterprise customers is being hindered by the complexity of trying to forecast inferencing costs amid a fear being saddled with excessive bills for cloud services.… Or so says ...

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AMD is strategically positioned to dominate the rapidly growing AI inference market, which could be 10x larger than training by 2030. The MI300X's memory advantage and ROCm's ecosystem progress make ...