Browsing: nvidia

The new flagship model utilizes a sparse activation architecture to balance computational efficiency with high-capacity reasoning across 160 languages.

NVIDIA is deploying a unified hardware and software stack to address the scalability challenges facing global autonomous robotaxi operators.

A critical flaw in NVIDIA’s NemoClaw framework allows attackers to permanently alter local AI model behavior via browser-based DNS rebinding.

NVIDIA transitions its high-performance autonomous driving model to a commercial license, enabling developers to integrate advanced reasoning and trajectory generation into proprietary vehicle systems.

Meta and Nvidia have launched high-parameter open-weight models to challenge the dominance of Chinese research labs in the local inference market.

Nvidia introduces a specialized model architecture and routing library designed to facilitate high-volume agentic tasks on local hardware.

A national initiative combines precision manufacturing with accelerated computing to deploy autonomous agents and digital twins across factory and transport systems.

Nvidia is driving a transition toward centralized vehicle architectures to support the complex computational demands of generative AI and autonomous navigation.

Foxconn integrates NVIDIA-powered vision-language models to automate procedural verification and improve manufacturing throughput.

NVIDIA’s new Nemotron 3 Nano Omni unifies AI’s disparate senses, merging vision, audio, and language into one cohesive system. This fundamental shift eliminates fragmentation, paving the way for truly intelligent, real-time agentic collaboration.