NVIDIA Launches New NIM Microservices in Japan and Taiwan to Boost Generative AI Efficiency and Security for Multiple Industry Organizations

Building AI systems that align with local values, preserving and promoting cultural, linguistic diversity, and knowledge

NVIDIA NIM Microservices accelerate deployment, enhance overall performance, and provide essential security for organizations across various industries, including global healthcare, finance, manufacturing, education, and law. NVIDIA has partnered with several industry organizations in Taiwan to introduce the new NVIDIA NIM Microservices.

Chang Gung Memorial Hospital, one of Taiwan’s leading healthcare systems, is currently using its exclusive AI Inference Service (AIIS) to centrally manage all large language model (LLM) applications within its hospital system. Chang Gung uses Llama 3-Taiwan 70B, allowing patients to better understand nuanced medical language and improving frontline healthcare workers' efficiency.

For more details, please visit: https://blogs.nvidia.com.tw/blog/nim-microservices-generative-ai-taiwan/?ncid=so-face-764719

Four New Microservices to Accelerate Deployment of Advanced AI Applications with Cultural and Language Proficiency

NVIDIA NIM Microservices support the latest development of large language models (LLM) based on the Llama-3 architecture, fine-tuned on large Traditional Chinese and English datasets. The Llama-3-Taiwan-70B model excels in understanding Mandarin, handling local legal tasks, answering questions, as well as language translation and summarization. Several Taiwan-based companies, including Chang Gung Memorial Hospital, Pegatron, Chang Chun Group, Unimicron, TechOrange, Lulugroup, and APMIC, are using this foundational model to accelerate application deployment.

For more details, please visit: https://blogs.nvidia.com.tw/blog/nim-microservices-generative-ai/