EDN

The hidden bottleneck in LLM inference and the impact on MLPerf benchmarking

Here is how the prefill versus generation split exposes GPU structural inefficiencies in AI processor designs.
EDN

MLPerf and the rise of latency-aware LLM benchmarking

Here is a sneak peek at the evolution of the MLPerf benchmark and how generative AI forced a radical shift in AI hardware ...
Business Wire

PKSHA develops advanced Large Language Models in collaboration with Microsoft Japan

TOKYO--(BUSINESS WIRE)--PKSHA Technology Inc. (TOKYO:3993) has developed one of the first Japanese-English Large Language Models (LLM) using Retentive Network (RetNet) (*1) in collaboration with ...
Geeky Gadgets

Mercury 2 : World’s Fastest Reasoning AI Model Built for Production Applications

Mercury 2, the first diffusion-based reasoning large language model, introduces a new approach to token generation by refining multiple tokens in parallel rather than sequentially. This shift enables ...