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 ...

Local AI coding assistants are actually useful now.

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 ...

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.

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.

It’s been a story of the last week or so if you follow the kind of news channels a Hackaday scribe does, that Google have quietly installed an LLM as part of the Chrome browser. Reports vary as to ...

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 ...