AI Development: Hardware and Software You need

Now, AI development projects have kickstarted, it’s time to know the hardware and software to develop artificial intelligence projects.

In simple terms, AI (Artificial Intelligence) is an area of computer science that aims to make machines do intelligent things.

AI is widespread in healthcare, manufacturing, driverless cars, finance, and agriculture.

Ai hardware software

AI Hardware requirement

Standard Computers: For a beginner, a current standard computer is sufficient, including an Intel or AMD CPU with a 2 GHz clock, 8 GB RAM, 500 GB hard drive, and a current Windows, Mac, or Linux operating system. 

Computers with GPUs: For a more advanced user, if you want to train more data or build more complicated, larger AI models, you will need a more advanced computer, i.e., a computer with a graphics processing unit (GPU).

That typically includes a CPU with 8 cores, 32 GB RAM, 1 TB hard drive, and an NVIDIA GeForce RTX 1080 (or 2080) Series 8GB GPU. 

Computers with FPGAs: Field Programmable Gate Array (FPGA) uses in AI. Altera and Xilinx are the two most well-known FPGA manufacturers.

For example, Intel achieved 3,700 frames per second processing with its Arria 10 GX 1150 FPGA. An Intel Arria 10 GX FPGA can easily cost more than $5,000.

Graphcore’s IPUs: Graphcore unveiled its second-generation processor using a 7 nm process, which packs about 60 billion transistors on an 800-square-millimeter integrated circuit with 1,472 computing cores and 900 MB of local memory. Here’s a link to the Graphcore machine.

AI Software tools

As you know, C and C++ are the top languages for developing AI libraries. The libraries that have written in these languages have fast processing speeds.

The libraries that are written in C and C++ are  OpenCV (https://opencv.org/) for computer vision and YOLO (https://pjreddie.com/darknet/yolo/) for object detection.

Java is another popular language. All apps on Android phones are written in Java. To use Java in AI development, you can use the following libraries:

C# is popular for developing Windows desktop graphical user interface (GUI) programs. With C#, you can use the following libraries:

Python is an upcoming language in the development of AI libraries. To use Python in AI development, you can use several libraries such as Numpy, Pandas, Matplotlib, and NLTK.

You can also use several open-source frameworks:

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Author: Srini

Experienced software developer. Skills in Development, Coding, Testing and Debugging. Good Data analytic skills (Data Warehousing and BI). Also skills in Mainframe.