“Real-time collaboration can lower the barriers of AI development,” says AI Network.
It is difficult for small start-ups or individual developers to study artificial intelligence due to its high barrier to entry, and the environment to run code is getting more and more complex. The operating system, programming language, library, and frameworks used to write code are diverse, and developers trying to operate open source code must build the same operating environment. Thus, they also need a central processing unit (CPU) and a graphics processing unit (GPU) to handle the large amounts of computation which occur with large amounts of data. In the end, a handful of global companies with their own data centers have no choice but to take the lead in AI.
AI Network is a project created to solve this problem. AI Network is creating a model that costs and uses as much as the developer uses, sharing it with an execution environment for running code. Kim Min-hyun, the CEO of AI Network , says he hopes to create an environment where developers can focus on their development. Also, commenting that the main goal of AI research is to develop better machine learning algorithms to solve problems.
Amazon Web Services (AWS) also provides a runtime environment. What is the unique value of AI networks?
“Currently, developers are free to share code in the open-source ecosystem. Because there is a lot of useful code, I am saving speed and money by developing only what I need. But when you want to run a service, you have to pay for a service like AWS. Most services don’t make enough money to keep up with the deficit.
That’s why AI Network provides free, open-source sharing and distribution. In other words, the program you created is immediately serviced. And when a service is used, revenue is shared with the resource provider.”
Written by Do Yoon Kim Reporter(D.Street)
full article: https://n.news.naver.com/article/009/0004507169