Gensonix AI DB efficiency combined with Intel's ARC GPU architecture makes LLMs practical on very small systems We are ...

Qwen3-Coder-Next is a great model, and it's even better with Claude Code as a harness.

Getting LLMs to run at home.

In a blog post today, Apple engineers have shared new details on a collaboration with NVIDIA to implement faster text generation performance with large language models. Apple published and open ...

Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...

Meta agrees to buy millions more AI chips for Nvidia, raising doubts about its in-house hardware - SiliconANGLE ...

If you are searching for ways to improve the inference of your artificial intelligence (AI) application. You might be interested to know that deploying uncensored Llama 3 large language models (LLMs) ...

Xiaomi is reportedly in the process of constructing a massive GPU cluster to significantly invest in artificial intelligence (AI) large language models (LLMs). According to a source cited by Jiemian ...

Lamini is developing an infrastructure for customers to run Large Language Models (LLMs) on innovative and fast servers. End-user customers can use Lamini's LLMs or build their own using Python, an ...

A new technical paper titled “MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall” was published by researchers at Argonne National Laboratory and ...

Nvidia plans to release an open-source software library that it claims will double the speed of inferencing large language models (LLMs) on its H100 GPUs. TensorRT-LLM will be integrated into Nvidia's ...

AMD planted another flag in the AI frontier by announcing a series of large language models (LLMs) known as AMD OLMo. As with other LLMs like OpenAI’s GPT 4o, AMD’s in-house-trained LLM has reasoning ...