Google's Gemma 4 model goes fully open-source and unlocks powerful local AI - even on phones

Google's Gemma 4 model goes fully open-source and unlocks powerful local AI - even on phones ...

Want to make the most of the new Gemma 4 AI models? RTX GPUs and PCs accelerate local AI like never before

NVIDIA’s RTX 50 Series graphics cards have enough VRAM to load Gemma 4 models, and a range of others. Their Tensor Cores help ...
Neowin

Report: You can now run local AI models on your phone, but that doesn't mean you should

The tech industry has spent years bragging about whose cloud-based AI model has the most trillions of parameters and who poured more billions of dollars into data centers. However, the open-source AI ...
Geeky Gadgets

Running Local Al Models on a Mac Studio 128GB : 4B, 20B & 120B Tested

Running large AI models locally has become increasingly accessible and the Mac Studio with 128GB of RAM offers a capable platform for this purpose. In a detailed breakdown by Heavy Metal Cloud, the ...

Google announces Gemma 4 open AI models, switches to Apache 2.0 license

Like past versions of its open-weight models, Google has designed Gemma 4 to be usable on local machines. That can mean ...

Groundbreaking iPhone App Runs Optimized GPT AI Models Entirely Offline and On-Device, for a Greener, More Private Alternative to Data Centre Driven Products.

N6, an independent British software developer, has released LiberaGPT, a free iPhone app that runs multiple GPT models ...

Google Gemma 4 Runs Locally on NVIDIA RTX GPUs With Faster AI Performance

Google Gemma 4 now runs on NVIDIA RTX GPUs, enabling faster local AI, offline inference, and powerful agent workflows across ...
XDA Developers on MSN

I cancelled ChatGPT, Gemini, and Perplexity to run one local model, and I don't miss them

One local model is enough in most cases ...

Forget the Cloud: This Tiiny Pocket PC Packs 80GB RAM for Local AI

Want to run powerful AI models without cloud fees or privacy risks? Tiiny AI Pocket Lab packs a massive 80GB of RAM for ...
ZDNet

I tested local AI on my M1 Mac, expecting magic - and got a reality check instead

Ollama makes it fairly easy to download open-source LLMs. Even small models can run painfully slow. Don't try this without a new machine with 32GB of RAM. As a reporter covering artificial ...
Visual Studio Magazine

Going Local (& a Bit Loco) with Open-Source AI in VS Code

Running open-source AI locally in VS Code proved possible, but the path was more complicated than the polished model catalogs initially suggested. On a modest company laptop with 12 GB of RAM and no ...