Taiwan's National Health Research Institute (NHRI) and Chang Gung Memorial Hospital (CGMH) are adopting NVIDIA technology for biomedical research and healthcare. The technology includes accelerated computing and generative AI for imaging, patient care, and drug discovery research.

Source: https://blogs.nvidia.com/

Foxconn, the world's largest electronics manufacturer, is training robots to assemble NVIDIA products at a new factory in Guadalajara, Mexico. The factory is a digital twin, powered by NVIDIA's Omniverse and Isaac platforms, and is part of Foxconn's efforts to push the state of industrial automation.

Source: https://blogs.nvidia.com/

NVIDIA GPUs accelerate weather forecasting by reducing time and energy needed for simulations. A diffusion model running on NVIDIA GPUs enables new uses and increases energy efficiency in weather forecasting. This technology was demonstrated in Taiwan, showcasing its potential for reducing total cost of ownership.

Source: https://blogs.nvidia.com/

Murex, a Paris-based trading and risk management software company, is testing NVIDIA's Grace Hopper superchip architecture in its trading and risk platform. The test aims to achieve top performance and energy efficiency, following the 2008 financial crisis and increased risk-management regulations.

Source: https://blogs.nvidia.com/

Source: https://blogs.nvidia.com/

Source: https://blogs.nvidia.com/

Taiwan's leading consumer electronics companies, including Foxconn, Pegatron, and Wistron, are showcasing their advancements in AI automation for manufacturing at COMPUTEX. The companies are using robots, cameras, and sensors to drive efficiencies in their smart factories.

Source: https://blogs.nvidia.com/

NVIDIA NIM, a set of generative AI inference microservices, is now deployable on open-source Kubernetes platforms from Canonical, Nutanix, and Red Hat. This combination with KServe automates AI model deployment at cloud scale, making it easier to deploy generative AI in the enterprise.

Source: https://blogs.nvidia.com/

NVIDIA has certified new technology for manufacturing partners, offering high-performance systems for deploying AI. The NVIDIA Spectrum-X Ready and NVIDIA IGX certifications enable customers to easily deploy AI, supporting the creation of 'AI factories' globally.

Source: https://blogs.nvidia.com/

NVIDIA has launched a self-paced course, AI Infrastructure and Operations Fundamentals, to equip enterprise professionals with skills to navigate the AI landscape. The course focuses on infrastructure and operational aspects of AI and accelerated computing, enhancing speech recognition and powering self-driving cars.

Source: https://blogs.nvidia.com/