Ollama Runs 32B Local AI Models on a $599 Mac via Quantization for Free

Learn how to run a 32B local LLM on a $599 Mac Mini using Ollama. This setup reduces cloud AI costs while maintaining strong ...
Ars Technica

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

I found which apps were destroying my phone's memory; the culprits shocked me

I saved hundreds of megabytes of space ...
The Verge

Google’s TurboQuant algorithm aims to slash AI memory usage.

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...
Digital Trends

Microsoft tests File Explorer search optimisation to reduce RAM usage in Windows 11

For now, it’s only available to those in the Insider preview program. The core of the fix is about working smarter, not harder: Microsoft wants to stop File Explorer from performing the same indexing ...
ExtremeTech

Microsoft Patent Aims to Reduce Memory Usage in Ray Tracing

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