Why do neural networks need powerful servers? We analyze the key requirements

February 28, 2025, 02:54:22

Giteqa

Artificial intelligence (AI) and neural networks are rapidly developing, penetrating a wide variety of fields — from medicine and finance to automated recommendations in online stores. However, the work of neural networks requires enormous computing power. In this article, we will look at why standard servers are not suitable for AI tasks, and what characteristics are needed for effective operation.

Why do neural networks require powerful servers?

Unlike traditional software that performs linear calculations, neural networks operate with huge amounts of data, processing them in parallel. This creates a high load on processors, memory, and the storage system. The main factors determining the server hardware requirements:

Huge amounts of data — neural network training requires the analysis of terabytes of information.
High computational complexity — machine learning algorithms perform millions of operations per second.
The need for fast data access — low latency and high throughput are critically important.
Parallel computing — Standard processors are inefficient for processing complex models, whereas GPUs and TPUs provide multithreaded processing.

What components are important for neural network servers?

When choosing servers for working with AI, you need to consider several key characteristics::

Processors (CPUs) — server processors with a large number of cores (for example, AMD EPYC or Intel Xeon) are preferred.
Graphics processing units (GPUs) — accelerate calculations tenfold, especially for deep learning. NVIDIA A100, RTX 4090, and H100 are popular.
RAM is the minimum size of 128 GB, but complex models require 512 GB and higher.
Storage (NVMe SSD) — provides fast data access, preferably from 2 TB.
High—speed network connection - 10 Gbit/s and higher are used for cluster solutions.

Where are such servers used?

Companies use servers for neural networks in a wide variety of industries:

Medicine is the recognition of diseases from images, the development of new drugs.

Finance — market analysis, identification of fraudulent schemes.

Retail — personalized recommendations, demand forecasting.

Autonomous systems — autopilots, industrial robots.

Cybersecurity — network traffic analysis and threat detection.

What server solutions does MivoCloud offer?

For those who work with neural networks, we at MivoCloud have prepared powerful server solutions:

NVMe VPS — high data processing speed and low latency.
Flexible scaling — the ability to increase capacity as tasks grow.
DDoS protection — data reliability and security.
Locations in the USA, Romania, Moldova and Russia — choose a server closer to your customers.
Payment in cryptocurrency is a convenient payment option.

Conclusion

Neural networks and AI are the future of business, but they won't be able to work efficiently without powerful servers. If you are looking for a reliable hosting partner for AI projects, MivoCloud offers server solutions tailored to complex computing tasks.

Choose MivoCloud and get the most out of artificial intelligence technologies!