Rent High-Performance GPU Rack Servers

Why Choose GPU Rack Servers from HOSTKEY?

By choosing GPU rack servers from HOSTKEY, you get high-performance hardware with excellent scalability. AI training benefits from Nvidia GPUs in many ways.

• First, the parallel processing structure consists of thousands of cores (for example, in NVIDIA RTX 3090 or 4090), which allows for many calculations to be performed simultaneously, significantly accelerating the training process of complex machine learning models.
• Second, developers get powerful GPU rack servers performance optimized for AI thanks to the Nvidia CUDA platform; thus, training time can be reduced and model accuracy increased.
• Third, the high memory bandwidth of Nvidia TESLA V100 or T4 GPUs enables efficient management of large datasets required for training deep learning models.

Benefits of Renting GPU Rack Servers

By renting GPU rack servers, you will get the following benefits:

• High performance. A key advantage for computing and working with graphics. This is especially important for tasks such as 3D rendering, machine learning and scientific computing. GPU is at least 8 times faster than CPU.
• Stability. The systems are characterized by stable and reliable operation even under increased loads. The infrastructure will function without failures and downtime.
• Saving time and resources. Using GPU rack servers allows you to avoid buying and maintaining expensive physical video cards. This saves the company time and resources.
• Scalability. GPU rack servers are easily scalable. You can increase or decrease the number of resources depending on current needs.
• Individual configuration. Resources can be selected based on the company's requests. It is also possible to pay only for the resources actually consumed.

GPU Rack Servers: Ideal for Diverse Applications

GPU rack servers are perfect for solving the following tasks:

• Analysis of big data and process modeling. You will be able to prepare data for processing much faster, check its quality, and analyze huge amounts of information without breaking it down and with minimal calculation errors.
• Deep learning of neural networks. Massively parallel data processing technology significantly speeds up the process, which allows you to reduce the time it takes to develop an AI solution and reduce project costs.
• Product testing. Using GPU rack servers, it is easier to test and optimize a complex product that requires high-performance equipment. At the same time, the environment will be close to the customer's real infrastructure, the costs compared to purchasing physical equipment will be lower, and the testing speed will be higher.
• Working with images and videos. Multithreading simplifies 3D modeling, processing satellite, medical images and other "heavy" illustrations. Processes are faster, resources appear for other tasks.
• Design and construction. GPU rack servers are often used when working with BIM models, in complex engineering calculations, for visualization of architectural projects and modeling of objects in AutoCAD/ArchiCAD.
• Biological and medical research. GPU rack servers help scientists in diagnosing diseases, predicting epidemics, analyzing biological processes, genetic and other data.

Why GPU Racks are a Cost-Effective Solution

As practice shows, the use of video cards for various types of calculations has opened a new era in IT — an era of unprecedented speed, power and reliability. That is why GPU server hosting is so popular. GPU racks are more cost-effective than supercomputers: renting a server allows you to save money on purchasing and maintaining your own equipment.

HOSTKEY tariff plans allow you to get as much power for your project as you need. We offer both managed and unmanaged servers with great scalability.

Understanding GPU racks Server Pricing

The cost of renting a GPU rack server depends on the resources the company consumes. Important parameters include storage and RAM capacity, the number of processor cores, the presence of a GPU, backup and disaster recovery systems, and other characteristics of the virtual IT infrastructure.