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, ...

“I get asked all the time what I think about training versus inference – I'm telling you all to stop talking about training versus inference.” So declared OpenAI VP Peter Hoeschele at Oracle’s AI ...

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 ...

The AI industry is undergoing a transformation of sorts right now: one that could define the stock market winners – and losers – for the rest of the year and beyond. That is, the AI model-making ...

Machine learning (ML)-based approaches to system development employ a fundamentally different style of programming than historically used in computer science. This approach uses example data to train ...

Data analytics developer Databricks Inc. today announced the general availability of Databricks Model Serving, a serverless real-time inferencing service that deploys real-time machine learning models ...

Run.ai, the well-funded service for orchestrating AI workloads, made a name for itself in the last couple of years by helping its users get the most out of their GPU resources on-premises and in the ...

Lenovo unveiled a suite of new enterprise servers specifically designed to handle AI inferencing workloads. Showcased at CES 2026 in Las Vegas, the ThinkSystem and ThinkEdge servers cover an array of ...

‘We want to make it affordable, easy to deploy, and to certainly scale out on inferencing. The key design point I’d say is that it’s simple to deploy. It requires no specialized data science expertise ...

Qualcomm and Arm have offered differing predictions regarding the market for inferencing silicon.… Both companies announced quarterly results on Wednesday and Qualcomm CEO Cristiano Amon used his ...

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 ...