As AI evolves rapidly, new terms will continue to emerge; therefore, here are a few buzzwords you should know to understand the technology shaping the future.

The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use ...

For years, buying a laptop or desktop was simple. You checked the processor, looked at the amount of RAM, maybe considered ...

OpenAI has introduced Jalapeño, its first custom AI chip built with Broadcom for inference. The custom ASIC has been designed ...

“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 ...

China's Zhipu AI is in early discussions with domestic chip design houses about building a bespoke AI processor for its GLM model family, The Information reported, as 27-times growth in daily token ...

The CNCF is bullish about cloud-native computing working hand in glove with AI. AI inference is the technology that will make hundreds of billions for cloud-native companies. New kinds of AI-first ...

Etched’s $1B-plus AI chip contracts and $5B valuation point to rising inference demand, but customer names, contract terms, ...

OpenAI has unveiled its own AI inference-specialized chip, "Jalapeño," accelerating the company's efforts toward self-reliant ...

Etched reaches a $5B valuation and $1B in AI chip contracts, raising pressure on Nvidia as inference costs reshape AI ...

Arrcus launched a new network fabric layer targeted at potential traffic bottlenecks caused by the growing use of AI inferencing services. The Arrcus Inference Network Fabric (AINF) is designed to ...