More parameters doesn't always mean more capabilities.

Chat With RTX works on Windows PCs equipped with NVIDIA GeForce RTX 30 or 40 Series GPUs with at least 8GB of VRAM. It uses a combination of retrieval-augmented generation (RAG), NVIDIA TensorRT-LLM ...

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 ...

There's a whole world of tools to launch local LLMs out there, and these are some of the best.

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 ...

Even an older workstation-class eGPU like the NVIDIA Quadro P2200 delivers dramatically faster local LLM inference than CPU-only systems, with token-generation rates up to 8x higher. Running LLMs ...

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 ...

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.

Tom Fenton benchmarks the Lenovo ThinkPad T1g Gen 8 across SPECworkstation 4, Geekbench AI and Ollama tests to assess its performance for office workloads, local AI and large language models.

A new technical paper, “Characterizing CPU-Induced Slowdowns in Multi-GPU LLM Inference,” was published by the Georgia Institute of Technology. “Large-scale machine learning workloads increasingly ...