The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the ...

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 ...

The California Office of Attorney General (OAG) on March 10, 2022, issued its first opinion interpreting the California Consumer Privacy Act (CCPA), addressing when ...

The world of artificial intelligence and machine learning (AI/ML) is fragmented into different domains. Two of these domains represent splits between training and inference, and cloud versus edge.

There are an increasing number of ways to do machine learning inference in the datacenter, but one of the increasingly popular means of running inference workloads is the combination of traditional ...