Taiwan AI Cloud integrates the technical capabilities of ASUS Cloud with the supercomputing expertise of the National Center for Computing Technology, taking over half of the production capacity of Taiwan's Sugi-2 supercomputer, becoming one of the earliest companies in Taiwan to have GPU computing power as its main focus.
ASUS Group's subsidiary, Taizhi Cloud, has launched a newly upgraded inference model, FFM-Mistral-Small-3.1-24B-Reasoning (Formosa Large Model FFM). This model integrates Taiwanese values and optimizes reasoning capabilities based on local scenarios, demonstrating superior reasoning and task understanding abilities. Supporting multimodal understanding and vertical application scenarios, the model meets the core needs of governments and enterprises in implementing autonomous, controllable, and trustworthy AI solutions, accelerating the deployment of Agentic AI and ushering in a new chapter in the development of sovereign AI.
Taizhiyun Technology independently developed the Formosa Large Model (FF)
Taizhi Cloud has launched a one-stop AFS POD computing power deployment service for enterprises, which meets the GPU computing power, models, applications and processes required for enterprises to introduce AI. It can be launched in as little as 8 weeks, helping enterprises to significantly shorten the time and cost of building and maintaining AI data centers and promote the implementation of AI innovation.
ASUS Group's Taishin Cloud, Kuo Chung Computer, and Chang Gung Memorial Hospital have collaborated to create an AI inference cloud platform. This platform offers 12 medical AI models and an LLM-based generative AI assistant, covering diagnostic applications such as medical imaging X-rays, ultrasound, and EKG electrocardiograms. Since its launch this year, the platform has served nine Chang Gung Memorial Hospitals across Taiwan, significantly improving medical efficiency and patient care quality.
In the era of AI 2.0, the digital transformation of the healthcare industry is developing rapidly.
▲Taiwan Zhiyun invited representatives from 6 companies and AI startups to participate in the event.
Taiwan AI Cloud AI Supercomputing Accelerator Joins Hands with AI Startups in Southern China! 閱讀全文 »
AI will remain a mainstream technology trend in 2024, and "life" will be a key technology.
Taizhiyun FFM-Llama3-70B in Traditional Chinese
Surpassing GPT 4.0! Taizhi Cloud sets a new benchmark for Traditional Chinese models. 閱讀全文 »
AI will remain a mainstream technology trend in 2024, and "life" will be a key technology.
In this era of data explosion, predictive analytics has become an indispensable tool across all industries. By uncovering valuable information hidden within historical data, businesses can predict critical issues such as customer churn and equipment failures, and take corresponding countermeasures to significantly improve operational efficiency. However, traditional predictive analytics technologies face numerous challenges, such as: complex model construction processes, extensive experimentation in algorithm selection and model training, excessive data dimensions, diverse data formats and sources, and a shortage of specialized talent. This presents an exciting application prospect for emerging technologies like Predictive GenAI (Predictive Generative Artificial Intelligence).
