How companies use servers for artificial intelligence and machine learning

February 28, 2025, 02:28:42

Giteqa

Artificial intelligence (AI) and machine learning (ML) are no longer the technologies of the future — they are already changing business processes, increasing efficiency and reducing costs. However, they require powerful servers that can process huge amounts of data and perform complex calculations. In this article, we will look at which server solutions companies use for AI and ML, what tasks they solve, and why choosing the right infrastructure is critically important. This article will be useful for those who are going to start learning artificial intelligence and developing it for their own purposes.

Why are servers so important for AI and ML?

AI and machine learning require significant computing resources. Because AI has to process a huge amount of data to analyze and process the data, and only after that they already give answers to the user. Traditional servers often cannot handle the load, so companies choose specialized solutions with additional features.:

Graphics processing units (GPUs) — significantly accelerate the learning of neural networks.
Tensor Processing Units (TPUs) are specialized chips optimized for ML.
High-speed NVMe drives provide fast data processing and this significantly increases the efficiency of your AI.

Scalable cloud solutions allow you to adapt resources to the load, that is, if your server does not work stably because it lacks server characteristics, then the ability to scale will be very useful.

How do companies use servers for AI?

Companies in different fields use AI servers for various tasks:

Medicine is the processing of medical images, the diagnosis of diseases. Many people say that AI is very useful for medicine and, moreover, they pin their hopes on it.
Finance — forecasting market trends, automatically detecting fraud and getting rid of it.
E-commerce — personalization of recommendations, analysis of customer behavior and possible profit forecasting.
Autopilots and robotics — processing data from sensors and cameras in real time.

Which server solutions are better to choose?

Companies using AI choose servers based on these parameters:

Processor and GPU performance

The amount of RAM (at least 128 GB for complex models)

Network bandwidth (10 Gbit/s and above)

Flexibility of scaling

How will MivoCloud help your business?

If your business uses AI or is just planning to implement it, you need reliable servers. MivoCloud offers:

NVMe VPS — high-speed data processing.
Servers in the USA, Romania, Moldova and Russia — choose a location closer to your customers.
Flexible tariffs and payment in cryptocurrency are convenient for any business.
DDoS protection and 24/7 support - stable and secure operation.

Conclusion

AI and machine learning are technologies that require powerful server solutions. Choosing the right provider can significantly reduce costs and speed up algorithms. MivoCloud provides servers that are fully adapted to AI tasks, making them an ideal choice for companies working in the field of artificial intelligence.

Are you ready to test our servers? Switch to MivoCloud and choose the best solution for your business!