Shulou(Shulou.com)11/24 Report--

CTOnews.com May 30 news, according to multiple media reports, ASUS launched an AI service called AFS Appliance, based on NVIDIA chips, allowing enterprise users to explore the potential of generative AI while controlling their own data.

What's special about ASUS's new service is that all hardware will be installed in corporate customers 'own devices, ensuring data security and control. The AI computing platform, built on NVIDIA chip technology, will be operated and updated by ASUS.

One concern with AI services like OpenAI is that they are delivered through online data, potentially exposing sensitive information. For example, Samsung Electronics previously banned employees from using OpenAI's ChatGPT platform after discovering that employees uploaded sensitive code to the platform.

According to Pexels, ASUS will pre-install its own large language model Formosa on AFS hardware. It is said that this model is equivalent to ChatGPT 3.5 and is mainly trained in traditional Chinese.

Wu Hanzhang, general manager of ASUS Cloud and Taiwan Zhiyun, said in an interview that the company plans to set the price of this service at about $6000 per month (CTOnews.com Note: Currently about 42480 yuan). The highest-profile solution will use the DGX AI supercomputer platform at a monthly cost of about $10000 (currently about 70800 yuan).

He expects the service to be the first to win 30 to 50 corporate customers in China Taiwan and expand internationally by the end of the year.

TaiZhiYun previously released Formosa, a large-scale language model, in the middle of this month, and announced the launch of a comprehensive enterprise-level generative AI solution, providing AI Foundry Service (AFS) series services for quickly mobilizing AI supercomputer computing power, easy optimization of models and elastic deployment models.

"NVIDIA is our partner and will accelerate the adoption of this technology by businesses that didn't know why they needed so much computing power before ChatGPT," Wu said. Due to sensitivity to access to their proprietary data, most enterprises will deploy generative AI on their own premises. And because this involves the most sensitive information, they need an intelligent mind under their control and management. "

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