Servers with GPU vs. CPU: How to choose the best solution for your business?
- February 28, 2025, 03:20:21
The choice of server hardware plays a key role in the performance of your business. Today, companies face a dilemma: should they use traditional CPU servers or invest in servers with GPUs? Both options have their strengths, but which one is right for you? Let's figure out the difference between a GPU and a CPU, what tasks they solve best, and how to choose the perfect server solution.
What is the difference between CPU and GPU?
A central processing unit (CPU) is a universal component that performs calculations sequentially. It consists of several powerful cores optimized for processing complex logical operations and performing a large number of different tasks.
A graphics processing unit (GPU), unlike a CPU, is designed for parallel computing. It contains thousands of cores that can simultaneously perform a huge number of simple operations. Initially, GPUs were used for graphics rendering, but their potential proved indispensable in machine learning, big data processing, and cryptomining tasks.
When is it better to use servers with a CPU?
CPU servers remain the main choice for most standard business tasks, such as:
- Web hosting - the work of websites, databases, CMS (WordPress, Joomla).
- Real—time request processing - API, application servers.
- Financial and corporate systems — accounting, CRM, ERP.
- Office and cloud services — mail servers, remote desktops.
- Game servers — game process management, command processing.
The CPU is good for sequential tasks and multitasking, but its performance is limited by the number of cores and threads.
When should I choose a server with a GPU?
GPU servers benefit where scalability and parallel data processing are important. They are ideal for:
- Machine learning and neural networks — processing large amounts of data, deep learning.
- Video rendering — 3D graphics, special effects, video editing.
- Big Data Processing - analyzing millions of records in the shortest possible time.
- Cryptocurrency mining is the calculation of hashes for blockchains.
- Scientific computing — simulations, modeling of physical processes.
GPU solutions are dozens of times faster than CPUs in tasks that require massive calculations. However, they consume more energy and require special software.
CPU vs. GPU: Comparison table
Parameter | CPU | GPU |
Number of cores | 4-128 | 1000+ |
Efficiency | High for sequential calculations | High for parallel tasks |
Main application | Web hosting, databases, office tasks | Neural networks, rendering, mining |
Energy consumption | Low | High |
Price | Cheaper | More expensive |
Which solution should I choose for my business?
If your goal is to support web services, databases, or enterprise applications, CPU servers will be the best option.
If you need high computing power for data processing, neural network training, or 3D rendering, GPU servers will provide maximum performance.
MivoCloud offers powerful server solutions
At MivoCloud, we provide both CPU servers and GPU servers so that you can choose the optimal solution for your tasks. Our advantages:
- High—performance servers - NVMe VPS, Ryzen VDS.
- Flexibility — easily scale resources to fit your projects.
- The locations are the USA, Romania, Moldova and Russia.
- DDoS protection — the security of your business is at the highest level.
- Payment in cryptocurrency is a convenient payment method.
- 24/7 support — we are always in touch to help you.
Conclusion
The choice between CPU and GPU servers depends on your tasks. If versatility is important, choose a CPU. If mass computing is critical, GPU will be the best solution. At MivoCloud, you will find the perfect server for your needs and receive reliable support!
Choose powerful servers with CPU or GPU in MivoCloud and get maximum performance for your business!
