Qwen 3.6 27B actually gave me better answers in basically every test.

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

Apple brings out Core AI, a unified on-device framework that runs LLMs up to 70B parameters across iPhone, iPad, Mac, and Vision Pro.

Most developers assume serious AI infrastructure requires a corporate budget. The AMD Developer Program changes that math. With $100 in free GPU credits, an open ...

PrismML, an AI venture out of Caltech, has released a 1-bit large language model that outperforms weightier models, with the expectation that it will improve AI efficiency and viability on mobile ...

Google TurboQuant is one of the more important AI efficiency breakthroughs to appear in recent months. It tackles a problem that quietly limits almost every large language model in production: memory.

Google published a research blog post on Tuesday about a new compression algorithm for AI models. Within hours, memory stocks were falling. Micron dropped 3 per cent, Western Digital lost 4.7 per cent ...

Investors are concerned AI compiling efficiency improvements could reduce demand for Micron's chips. One of Micron's biggest competitors could list its stock on a U.S. exchange this year. 10 stocks we ...

Show detailed hardware specs optimized for running local AI models ╔══════════════════════════════════════════════════════════════════════════╗ ║ ⚡ LLM • NEOFETCH ++ ⚡ ║ ║ Advanced ...

How well does your local AI system handle the pressure of multiple users at once? While most performance tests focus on single-user scenarios, they often fail to capture the complexities of real-world ...