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.
Anyscale, founded by the creators of Ray, today announced upcoming new capabilities in Ray and the Anyscale platform designed to help teams build and deploy AI workloads at production scale. As more ...
In this “Corey Noles speaks with Teradata Global AI Lead Dr. Chris Hillman, who explains that open data and technology ...
Explore Andrej Karpathy’s Autoresearch project, how it automates model experiments on a single GPU, why program.md matters, ...
Andrej Karpathy is pioneering autonomous loop” AI systems—especially coding agents and self-improving research agents—while ...
XDA Developers on MSN
I reverse engineered my NAS's dead touchscreen and built an open-source dashboard from scratch
Now I can use any operating system I want without losing features.
XDA Developers on MSN
Intel's $949 GPU has 32GB of VRAM for local AI, but the software is why Nvidia keeps winning
Intel's AI-related software has been getting better, but it's still not great.
Discusses New Business Strategy and Transition to Complete Chip Sales March 29, 2026 8:00 PM EDT Thank you very much. We would like to start the Arm business briefing. I would like to introduce ...
NanoGS brings Gaussian splats into Unreal Engine with Nanite-style LOD, culling, and GPU sorting for large realtime scenes.
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results