Machine learning and other forms of artificial intelligence are shaping our lives in countless ways. As more organizations consider exploring the countless benefits of artificial intelligence technology, developers are looking for more cutting-edge solutions to address their needs.

Docker is one of the newest technological evolutions in the field of computer science. It is a platform that uses operating system level virtualization to create new applications through the use of containers. This new platform has been proven to be remarkably efficient for developing new applications.

Many of these applications center around artificial intelligence technology. This has led to growing demand for Helm charts and other third-party tools that benefit Docker developers.

Back in 2018, Docker claimed that over 3.5 million applications had been developed with their platform. Those applications had been stored in over 37 billion containers that were later downloaded by users.

When Docker was first becoming popular, experts weren’t spending much time discussing the different applications that it was capable of helping develop. It has only been over the last year or so that they have talked more extensively about specific projects where Docker can be incredibly useful.

The market for artificial intelligence applications around the world was estimated to be worth $62.3 billion last year. This was over a 50% increase from 2019. The robust growth in the artificial intelligence market has made Docker Solutions even more appealing.

What are the potential benefits of Docker for developing and deploying AI technology?

There are numerous reasons that Docker has been highly appealing to AI developers. Some of the most promising benefits are summarized below.

Highly intuitive graphic user interface to manage historical versions of Docker images

Developers understand the prevalence of bugs while creating code. They may develop code during the initial stages without any major hassles. Unfortunately, they might have new bugs creep in during later stages of the development process.

This can cause a number of complications. The debugging process can be incredibly burdensome, especially when it is difficult to identify which section of the code is responsible for the bugs that arose.

As frustrating as this process can be for any coding application, it is even more exhausting when developing AI applications. Machine learning software requires many times the number of lines of code as most other software projects. The likelihood of encountering bugs is exponentially higher.

Fortunately, Docker has an exceptional graphic user interface to mitigate this problem. The platform’s GUI makes it easy to look at different versions of the code over time. This makes it a lot easier to revert back to previous versions to fix any issues that might have been introduced during later parts of the coding process.

Eliminating the need for environmental configurations

Developers usually find that the coding process becomes more complicated with larger teams. Since artificial intelligence applications are too large to execute with small teams, this challenge is largely unavoidable.

One of the biggest issues has to deal with environmental configurations. Every team member needs to make sure that their environment is properly setup to seamlessly create code specific to the application at hand.

Docker has helped address this issue. The platform interface has a uniform project environment across all team members. This minimizes the hassle and time involved with setting up a new environment for any given project.

Simplify running and testing new applications

A lot of development platforms make executing code very complicated. You might have to execute different types of code at various intervals if they were written in different applications.

Docker was a more centralized platform. It is a lot easier to execute the entire application with a single command line.

This is a great benefit for any type of application development. It is a particularly significant selling point for creating artificial intelligence applications.

Docker is a great platform for developing AI projects

AI is becoming a lot more complicated these days. Docker is a great platform for developers that are trying to streamline the development process. This can reduce the complexity of code, help with the debugging process and ensure code is developed a lot more quickly. A growing number of developers are likely to start relying on it in the near future as the benefits gain a lot more attention among the computer science community.

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