How AI Inference Can Unlock The Next Generation Of SaaS

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

Edge AI: The future of AI inference is smarter local compute

Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...
Seeking Alpha

AMD: The Physics Of Inference Favors The Underdog

AMD (AMD) is rated a 'Buy' based on its architectural strengths and plausible 3-5 year EPS growth framework. AMD’s higher memory bandwidth and capacity position it well for the rapidly compounding ...
Semiconductor Engineering

How Neural Super Sampling Works: Architecture, Training, And Inference

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 ...
Semiconductor Engineering

Inference Moves To The Network

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 Next Platform

Where The FPGA Hits The Server Road For Inference Acceleration

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 ...
SDxCentral

AI inference crisis: Google engineers on why network latency and memory trump compute

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...