NVIDIA’s RTX 50 Series graphics cards have enough VRAM to load Gemma 4 models, and a range of others. Their Tensor Cores help accelerate AI workloads for faster training and inference, and the ...

Now open-source under Apache 2.0, Gemma 4 brings offline, multimodal AI to servers, phones, and Raspberry Pi - giving ...

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.

Every time a new chip ships and a CEO takes the stage to announce it, there is a question that does not get asked from the ...

This results in a large speedup of Ollama on all Apple Silicon devices. On Apple’s M5, M5 Pro and M5 Max chips, Ollama ...

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

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 ...

Explore Andrej Karpathy’s Autoresearch project, how it automates model experiments on a single GPU, why program.md matters, ...

While the eyes of the tech world were firmly affixed on Nvidia last week for its GTC event and the unveiling of its new Groq ...

Andrej Karpathy has argued that human researchers are now the bottleneck in AI, after his open-source autoresearch framework ...

As Nvidia marks two decades of CUDA, its head of high-performance computing and hyperscale reflects on the platform’s journey ...

Model selection, infrastructure sizing, vertical fine-tuning and MCP server integration. All explained without the fluff. Why Run AI on Your Own Infrastructure? Let’s be honest: over the past two ...