Nvidia's $20 billion Groq acquisition shows the AI industry moving from training to inference, with speed and efficiency now ...

Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...

The burgeoning AI market has seen innumerable startups funded on the strength of their ideas about building faster, lower-power, and/or lower-cost AI inference engines. Part of the go-to-market ...

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Cloud infrastructure startup Atlas Cloud today launched a highly optimized artificial intelligence inference service that it says dramatically reduces the computational requirements of even the most ...

Artificial intelligence startup Runware Ltd. wants to make high-performance inference accessible to every company and application developer after raising $50 million in an early-stage funding round.

At the GTC 2025 conference, Nvidia introduced Dynamo, a new open-source AI inference server designed to serve the latest generation of large AI models at scale. Dynamo is the successor to Nvidia’s ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Without inference, an artificial intelligence (AI) model is just math and ...

Inference is rapidly emerging as the next major frontier in artificial intelligence (AI). Historically, the AI development and deployment focus has been overwhelmingly on training with approximately ...

The simplest definition is that training is about learning something, and inference is applying what has been learned to make predictions, generate answers and create original content. However, ...