You can now run LLMs for software development on consumer-grade PCs. But we’re still a ways off from having Claude at home.
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 ...
Ultralytics Debuts Ultralytics Platform: The Definitive Way to Annotate, Train, and Deploy Vision AI
With 125,000 GitHub stars, 225 million package downloads, and 2.5 billion daily inferences, the team behind Ultralytics YOLO features a unified platform to take vision AI from raw data to production ...
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.
Ocean Network allows modern data scientists and developers to bypass traditional cloud bottlenecks and move directly from code to execution ...
Andrej Karpathy is pioneering autonomous loop” AI systems—especially coding agents and self-improving research agents—while ...
Explore Andrej Karpathy’s Autoresearch project, how it automates model experiments on a single GPU, why program.md matters, ...
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.
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 ...
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