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.

There's always a local model that can replace your AI subscription ...

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 ...

Slow and steady wins the race.

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 ...

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 ...

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

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 ...

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 ...

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.

Running artificial intelligence (AI) models locally is gaining traction as a practical alternative to cloud-based solutions, especially for those prioritizing privacy and cost efficiency. In his ...

Just as businesses are starting to embrace AI en masse, they are facing a brutal reality. Large organizations, including ...