Models & Labs
Nvidia Unveils AI Agent-Centric Tech at COMPUTEX
The Rundown AIhigh confidence
Why it matters
- →Nvidia's focus on AI agents could shift how compute resources are utilized.
- →The introduction of advanced models and processors positions Nvidia as a leader in AI technology.
- →This strategy highlights the growing importance of autonomous systems in tech infrastructure.
Nvidia has unveiled a series of new AI technologies at COMPUTEX 2026, emphasizing the role of AI agents in future computing. The company introduced the RTX Spark chips, designed to run AI agents on PCs, and the Vera processor, which outperforms rivals in task completion. Additionally, Nvidia launched the Cosmos 3 robotics model and the Nemotron 3 Ultra model, highlighting its comprehensive approach to AI development. This move underscores Nvidia's strategy to prioritize AI agents as key consumers of compute power, potentially reshaping the tech landscape.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
More in Models & Labs
Models & Labsmodels
llama.cpp b12029 adds CUDA 13 and Snapdragon support
This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10.0. The inclusion of native builds for Linux arm64 with Snapdragon chips, covering CPU, Adreno GPU, and Hexagon NPU, signals a serious push into mobile edge deployment. While Apple Silicon KleidiAI is disabled in this specific build, the broader hardware coverage means developers no longer need to compile from source for most modern accelerators. It’s less about new features and more about removing friction for anyone running local models on bleeding-edge or diverse hardware.
llama.cpp Releases
© The Verge AIModels & Labsother
