For the past decade, the spotlight in artificial intelligence has been monopolized by training. The breakthroughs have largely come from massive compute clusters, trillion-parameter models, and the ...

Nvidia says that machine learning and agents will take over computer programming. Jensen says distributed AI inference will have to work in order to meet the demand for inference. AI inference will ...

When you ask an artificial intelligence (AI) system to help you write a snappy social media post, you probably don’t mind if it takes a few seconds. If you want the AI to render an image or do some ...

Students review about what an inference is and they will use their inferencing skills. In this lesson, students will review about what an inference is and they will use their inferencing skills to ...

Post by Ben Seipel, University of Wisconsin-River Falls/California State University, Chico; with Gina Biancarosa, University of Oregon; Sarah E. Carlson, Georgia State University; and Mark L. Davison, ...

Nvidia is aiming to dramatically accelerate and optimize the deployment of generative AI large language models (LLMs) with a new approach to delivering models for rapid inference. At Nvidia GTC today, ...

In context: Intel CEO Pat Gelsinger has come out with the bold statement that the industry is better off with inference rather than Nvidia's CUDA because it is resource-efficient, adapts to changing ...

The company tackled inferencing the Llama-3.1 405B foundation model and just crushed it. And for the crowds at SC24 this week in Atlanta, the company also announced it is 700 times faster than ...

AI inference demand is at an inflection point, positioning Advanced Micro Devices, Inc. for significant data center and AI revenue growth in coming years. AMD’s MI300-series GPUs, ecosystem advances, ...

Red Hat Inc. today announced a series of updates aimed at making generative artificial intelligence more accessible and manageable in enterprises. They include the debut of the Red Hat AI Inference ...