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 ...

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 ...

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 ...

The AI boom shows no signs of slowing, but while training gets most of the headlines, it’s inferencing where the real business impact happens. Every time a chatbot answers, a fraud alert triggers or a ...

“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 ...

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 ...

Qualcomm’s AI200 and AI250 move beyond GPU-style training hardware to optimize for inference workloads, offering 10X higher memory bandwidth and reduced energy use. It’s becoming increasingly clear ...

AI inferencing hardware startup Positron AI has raised $230 million in an oversubscribed Series B funding round that valued the company just above $1 billion. The round was co-led by Arena Private ...

TL;DR: DeepSeek's R1 model is utilizing Huawei's Ascend 910C AI chips for inference, highlighting China's advancements in AI despite US export restrictions. Initially trained on NVIDIA H800 GPUs, the ...

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 ...