Overview Present-day serverless systems can scale from zero to hundreds of GPUs within seconds to handle unexpected increases ...

The new family of AI models can run on a smartphone, a Raspberry Pi, or a data centre, and is free to use commercially.

Engineers from OLX reported that a single-line modification to dependency requirements allows developers to exclude unnecessary GPU libraries, shrinking contain ...

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

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

YouTuber and orbital mechanics expert Scott Manley has successfully landed a virtual Kerbal astronaut on the Mun, the in-game moon of Kerbal Space Program, using a ZX Spectrum home computer equipped ...

My reliable, low-friction self-hosted AI productivity setup.

For Mohamad Haroun, co-founder of Vivid Studios, the defining characteristic of Omnia is integration. “From end to end, it’s ...

FAR Labs has opened node registrations for its decentralized inference network, FAR AI, a program that intends on tapping into an estimated 3 billion idle GPUs worldwide.

Ollama, a runtime system for operating large language models on a local computer, has introduced support for Apple’s open ...

This first article in a series explains the core AI concepts behind running LLM and RAG workloads on a Raspberry Pi, including why local AI is useful and what tradeoffs to expect.

Google just released the latest version of its open AI model, Gemma 4, on Thursday. Crucially, Gemma 4 is a fully open-source ...