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, ...

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 vast amount of IoT devices and equipment collecting data on-premises and in the cloud presents a challenge for manufacturers looking to generate insights. The reason? Manufacturers must first ...

Inferencing has emerged as among the most exciting aspects of generative AI large language models (LLMs). A quick explainer: In AI inferencing, organizations take a LLM that is pretrained to recognize ...

There’s huge interest in implementing neural-network inference at “the edge,” anything outside of data centers, in all sorts of devices from cars to cameras. However, so far, very little actual ...

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 chipmaker Nvidia on Tuesday (March 18, 205) unveiled Dynamo, an open-source inference framework designed to enhance the deployment of generative AI and reasoning models across large-scale, ...