More parameters doesn't always mean more capabilities.

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 ...

There’s something profoundly satisfying about running AI models on your own hardware. No API keys. No usage limits. No data leaving your machine. No monthly bills that scale with curiosity. Just you, ...

Local LLMs give you more control ...

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 ...