When we first meet another person, we typically form an initial impression of them based on their facial features and appearance. These first impressions of others could potentially influence our ...

The next generation of inference platforms must evolve to address all three layers. The goal is not only to serve models ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

Machine-learning inference started out as a data-center activity, but tremendous effort is being put into inference at the edge. At this point, the “edge” is not a well-defined concept, and future ...

Animals survive in changing and unpredictable environments by not merely responding to new circumstances, but also, like humans, by forming inferences about their surroundings—for instance, squirrels ...

Artificial intelligence (AI) is a powerful force for innovation, transforming the way we interact with digital information. At the core of this change is AI inference. This is the stage when a trained ...