AMD’s still trading a box between 200–205 and 228–230. We’re camped in the upper half (~223–224), which is where breakouts ...

After a breakneck expansion of generative tools, the AI industry is entering a more sober phase that prizes new architectures ...

Abstract: Large Language Models (LLMs), with advanced content creation and inference capabilities, can provide immersive intelligent services to users in mobile edge networks. However, the increasing ...

Abstract: We introduce Model-Distributed Inference for Large-Language Models (MDI-LLM), a novel framework designed to facilitate the deployment of state-of-the-art large-language models (LLMs) across ...

High capacity DDR5 memory has become the latest flashpoint in the AI hardware boom, and nowhere is that more obvious than at the extreme end of the market. A 4TB server kit that would once have been a ...

This paper presents a valuable software package, named "Virtual Brain Inference" (VBI), that enables faster and more efficient inference of parameters in dynamical system models of whole-brain ...

A new technical paper titled “Intelligence per Watt: Measuring Intelligence Efficiency of Local AI” was published by researchers at Stanford University and Together AI. “Large language model (LLM) ...

Forbes contributors publish independent expert analyses and insights. Victor Dey is an analyst and writer covering AI and emerging tech. As OpenAI, Google, and other tech giants chase ever-larger ...

Nebius (NBIS) has released the Nebius Token Factory, a production inference platform that enables artificial intelligence companies and enterprises to deploy and optimize open-source and custom AI ...

A powerful and flexible Python library designed to simplify the training and fine-tuning of modern foundation models on tabular data. Provides a high-level, scikit-learn-compatible API that abstracts ...