As I began to understand the detailed implementation of the Transformer Model using the TensorFlow API, I realized that it was also very important to solve the question of how the GPU Cloud Server Infrastructure is designed…

I am 60 years old this year and have been working in the IT software development field for 30 years. I started analyzing deep learning papers about 4-5 years ago… Initially, I started analyzing papers to apply deep learning to the vision field… Then, I also analyzed papers to understand the detailed structure of ultra-large language models… When implementing ultra-large language models, I looked at what techniques global corporations used in their papers and how the detailed implementation of the Google Transformer model was applied using the Google TensorFlow API, how the detailed layers of the Transformer Model were implemented, and how Python syntax was applied… As I looked into this, I realized that it was very important to solve the question of how the GPU Cloud Server Infra is designed… I have succeeded in understanding how the GPU Cloud Server Infra is designed, not 100%, but the big core principle… Nowadays, even large corporations seem to realize the importance of these things and are focusing on securing know-how in GPU Cloud Server Infra design…

Docker uses the concept of containers to separate each software development environment. A container is a process that runs in an isolated environment, and each container has its own file system, network, and execution space. This allows you to operate multiple different software development environments independently on a single server PC. Docker creates and manages these containers, using something called Docker images in the process. Docker images contain all the file systems, settings, dependencies, etc. needed to run a container. You can create and run containers based on this image, and if necessary, you can change the state of the container to create a new image. These created images can be shared through remote repositories like Docker Hub, and any system with Docker installed can download the image and run the container. In this way, Docker ensures the consistency of the development environment and facilitates the execution of software in various environments.

Therefore, by using Docker, you can install and operate multiple different software development environments independently on a single server PC, and these environments operate independently of each other.

 

Deep Network, a one-person startup specializing in consulting for super-large language models  

E-mail : sayhi7@daum.net    

Representative of a one-person startup /  SeokWeon Jang