Local LLMs degrade fast when context fills up. An embedding model and RAG pipeline fixes that — and runs entirely on your machine.

My local LLM journey starts with a $200 pre-owned GPU ...

David Nield is a technology journalist from Manchester in the U.K. who has been writing about gadgets and apps for more than 20 years. He has a bachelor's degree in English Literature from Durham ...

Nvidia has launched an AI chatbot called Chat with RTX. It offers Windows users with Nvidia GeForce RTX GPUs a way to create a local LLM AI chatbot that links up and uses the content on their PC. When ...

The Lenovo ThinkPad P16 Gen 3 proves to be a strong portable AI workstation, with the CPU, iGPU, NPU, and NVIDIA GPU each excelling in different AI workloads depending on the framework and task.

Deploying a custom language model (LLM) can be a complex task that requires careful planning and execution. For those looking to serve a broad user base, the infrastructure you choose is critical.

For the last few years, the term “AI PC” has basically meant little more than “a lightweight portable laptop with a neural processing unit (NPU).” Today, two years after the glitzy launch of NPUs with ...

Execute GPU jobs instantly from your terminal with zero setup. No manifests, no environment drift, and per-second billing.

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 ...