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Researchers between Taiwan are fighting complex problems in the development of AI, in the climate science and quantum.
Work will soon deliver eight-fold AI performance from the previous center of the center in the National Center of Taiwan 2 systems in TaiwanNVIDIA CEO Jensen Huang announced the 2025 computer in Taipei in 2025 today.
Leaked to the AI SuperComputer feature in NCHC Nvidia hgx H200 systems 1700 GPU, two Nvidia gb200 nvl72 Rack scaled systems and one Nvidia hgx b300 System built on Nvidia blackwell ultra Platform – Interaction Nvidia as an infiniband The network. Today was announced on Computex, and the end of this year is expected to be broadcast live.
NCHC also plans to place a set Nvidia’s spark of dgx Private AI supercomputers and a cluster of NVidia HGX systems in the cloud.
Researchers of academic institutions, government agencies and small enterprises in Taiwan will be able to apply for a new system to accelerate innovative projects.
“The new NCHC supercomputer, sovereign AI, Quantum will make progress in calculating and advanced scientific calculation,” he said. “It is designed to protect Taiwan’s technological autonomy, cross-domain cooperation and global AI management.”
Will support projects like a new SuperComputer There’s Taiwan RapA generative AI application development platform. Taiwan AI rap, special models reflecting local cultural and language nuances are aimed at supporting the rapid development of the AI products by offering starting, researchers and enterprises.
The proposals of the platform are models created by the Taiwan’s reliable AI dialogue engine or a large language models of Taiwan) (Llms) For the processing of natural language processing, smart customer service and translation.
Employees who provide text, pictures, sound and video information for the initiative include state departments such as local governments, news organizations and the Ministry of Education and the Ministry of Culture.
To support the creation Sovereign Ai Applications, researchers currently allow developers to access the collection of Llama3.1-Tide Foundation models. The team uses additional sovereign AI LLM services Nvidia nemotron models.
Professor of the National Tainan University uses a research model to strengthen a spoken EU robot with Taiwanese and English students. It has been used by more than 2,000 students, teachers and parents. Another professor hit the model to create high quality educational materials, shorten the time training time for teachers.
In terms of health, research teams in Taiwan have used the research model to develop Ai Chatbot Returned generation This helps to deliver timely, accurate medical information to patients with large injuries and diseases of business managers. The Center for Epidemic Prevention Center for Taiwan’s disease control is preparing a model to create a summary of the news to support the spread and prevention of diseases.
Supports researchers using NCHC in climate research Nvidia Earth-2 platform to develop atmospheric science. These researchers are hitting Earth-2’s Corrdiff AI model Sharpening the accuracy and depth of the rough resolution air models Greccast Model in Nvidia Fizikanemo For global weather forecast.
Also they accept your own Nvidia them Microservice for QuadrikitGlobal atmosphere uses NVIDIA GPU to accelerate the simulation of the global atmospheric dynamics of air and climate variables and accelerate the simulation of NVIDIA GPU.
Researchers with a new supercomputer will be able to operate more complex simulations and accelerate the pace and results of the AI training.
NCHC researchers also develop quantum research Nvidia Cuda-Q Platform and Nvidia Cuquantum Quantum machine target library applications in learning, chemistry, finance, cryptography and more.
The Research Institute has developed a quantum molecular generator, which creates reliable chemical molecules using quantum schemes and CUDA-Q platform. Also created CUTN-QSVMA large-scale quantum circuit simulations are an open source tool installed in the Cuquantum Library.
The tool allows researchers to solve linear formation and hybrid quantum calculation systems to help accelerate the development of large-scale quantum algorithms.
NCHC researchers recently used a quantum machine learning algorithm to perform a record 784-four quit simulation. The institute also plans to establish a hybrid quantum accelerated calculation system by integrating Nvidia dgx quantum systems.