VentureBeat

Train-to-Test scaling explained: How to optimize your end-to-end AI compute budget for inference

The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use ...
SiliconANGLE

MLCommons releases results of its latest MLPerf AI inference benchmark test

MLCommons today released the latest results of its MLPerf Inference benchmark test, which compares the speed of artificial intelligence systems from different hardware makers. MLCommons is an industry ...
SDxCentral

Viavi test platform brings security to inference and AI data centers

Viavi Solutions unveiled the latest iteration of its CyberFlood testing platform. The CyberFlood CF1000 Appliance is described as a native 400 Gb/s (400G) application performance test platform ...
The Next Platform

We Need A Proper AI Inference Benchmark Test

Companies are spending enormous sums of money on AI systems, and we are now at a point where there are credible alternatives to Nvidia GPUs as the compute engines within these systems. Given the ...
Nature

High-Dimensional Mean Testing in Statistical Inference

High-dimensional mean testing addresses the problem of comparing population average vectors when the number of variables approaches or exceeds the sample size. Classical multivariate procedures, such ...