PC Magazine

AI training vs. inference

The simplest definition is that training is about learning something, and inference is applying what has been learned to make predictions, generate answers and create original content. However, ...
PC Magazine

models vs. inference

A trained AI model and the inference engine work together; thus, the proper comparison is AI training vs. inference. THIS DEFINITION IS FOR PERSONAL USE ONLY. All other reproduction requires ...
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 ...
ZDNet

Nvidia doubles down on AI language models and inference as a substrate for the Metaverse, in data centers, the cloud and at the edge

Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of ...
Forbes

The Inference Economy: How Sparse Computing And Model Optimization Are Reshaping Enterprise AI Deployment

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
insideHPC

Cerebras Reports 3,000 Tokens Per Second Inference on OpenAI gpt-oss-120b Model

SUNNYVALE, Calif. & SAN FRANCISCO — Cerebras Systems today announced inference support for gpt-oss-120B, OpenAI’s first open-weight reasoning model, running at record inference speeds of 3,000 tokens ...