The upgrade I almost made wouldn't have solved much ...

Ollama made local AI feel less like a developer experiment and more like something I could actually use on my PC.

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

As AI models increasingly become commoditized, startups are racing to build the software layer that sits on top of them. One interesting entrant into this space is Osaurus, an open source, Apple-only ...

The M5 Max MacBook Pro is built with a unified memory architecture, integrating 128GB of RAM across both the CPU and GPU. This design ensures seamless resource sharing, making it particularly ...

Tom Fenton explains how local AI fits into the broader private AI discussion for VMware environments, distinguishing enterprise-scale private AI deployments from smaller local AI setups running on ...

Another day, another AI model from Google. This time, Google DeepMind has released a new member of the Gemma 4 open model family, but it’s fundamentally different from the rest of the lineup.

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...

With the launch of Google’s Gemma 4 family of AI models, AI enthusiasts now have access to a new class of small, fast, and omni-capable AI designed for fast and efficient local deployment, and NVIDIA ...

When most of us think of AI chatbots, we think of complex systems running on powerful hardware in massive data centers. Ask ChatGPT or Gemini a question, then watch it "think" as it pings some faraway ...

Explore the benefits of local AI, from 24/7 continuous task processing to securing your access against rising hardware costs ...