Meta’s Muse Glimmer brings a free, local AI model to consumer devices, reshaping cloud economics and pressuring rivals that ...

You don't need an expensive GPU to start running local AI.

8GB is still enough for certain use cases.

The need for at least 24GB of VRAM to run Muse Glimmer is just one factor that makes its value challenging to determine.

Framework previewed a new Framework Desktop packing 192GB of RAM and a beefy new chip, built to run large AI models at home. Here's what we know so far.The Latest Tech News, Delivered to Your Inbox ...

Five free Marketplace extensions promise private, locally run coding assistance as developers look for alternatives to metered cloud AI.

Local AI and VMware Private AI Foundation both keep inference and data on owned hardware, but they differ in scale, complexity and setup time. Virtualized AI workloads can run on VMware, KVM and Hyper ...

Perplexity AI, the fast-growing search startup now valued at $20 billion, unveiled what it calls the first hybrid local-server inference orchestrator at Computex 2026 on Monday night, demonstrating ...

Can artificial intelligence truly replace human developers when it comes to writing code? It’s a bold question, but with the release of Mistral’s new local AI models, ranging from the lightweight ...

All of Google’s products have been getting more AI features, including Chrome, which now offers split-screen Gemini chatbot support, the ability to automate web browsing, and more. Some desktop Chrome ...

Google's updated Chrome support documentation to show that you need about 20 gigs of open storage space to enable on-device ...

ByteDance, the Chinese tech giant behind TikTok, last month released what may be one of the most ambitious open-source AI agent frameworks to date: DeerFlow 2.0. It's now going viral across the ...