NVIDIA introduces NIM microservices for generative AI technology to enhance physical world navigation.

From NVIDIA: 2024-07-29 16:30:23

NVIDIA introduces generative AI technology to enhance physical world navigation, unveiling NIM microservices and Metropolis workflows at SIGGRAPH. These advancements include fVDB NIM microservices and USD Code, Search, and Validate NIM microservices for Universal Scene Description (OpenUSD) collaboration. NVIDIA aims to revolutionize physical AI landscapes with customized NIM microservices for various industries. Visual AI agents are empowered by generative AI models like vision language models (VLMs) that bridge digital perception and real-world interaction. Generative AI-powered visual AI agents are being deployed in hospitals, factories, warehouses, and more for improved performance. In Palermo, Italy, city traffic managers utilize NVIDIA NIM microservices for AI agents analyzing live traffic cameras, enhancing operational efficiency. Global electronics giants like Foxconn and Pegatron adopt physical AI, NIM microservices, and Metropolis workflows for their manufacturing operations. NVIDIA tools like NIM microservices and Omniverse Replicator enable the generation of synthetic data from digital twins for training physical AI models effectively. State-of-the-art NVIDIA-built foundation AI models and NIM microservices are accessible at ai.nvidia.com for developers. OpenUSD NIM microservices are available in preview through the NVIDIA API catalog for innovative AI projects. NVIDIA founder and CEO Jensen Huang explores the transformative impact of accelerated computing and generative AI in various industries at SIGGRAPH.



Read more at NVIDIA: New NVIDIA NIM Microservices Bring Generative AI to Digital Environments