Cheap GPU Dedicated Servers for Deep Learning

Why Choose HOSTKEY’s Cheapest GPU Hosting Solutions?

HOSTKEY offers some of the cheapest GPU servers, making them a great choice for developers, researchers, and startups on a budget.

Key benefits:

• Low cost: HOSTKEY provides access to cheap GPUs in the cloud without overpaying for unnecessary resources.
• Flexible pricing: hourly or monthly payment options, convenient for testing and short projects.
• Various configurations: we have budget GPUs available, including NVIDIA Tesla T4, RTX 3090, A100, and others.
• Fast deployment: ready-made servers with pre-installed drivers and framework support (TensorFlow, PyTorch).
• Reliability: stable operation of data centers in Europe and Russia.

Who is Cheap GPU suitable for? It’s suitable for:

• Startups: you will save on ML/AI infrastructure;
• students and researchers: you will get access to GPUs for experiments;
• Freelancers: you will have inexpensive capacities to fulfill orders.

If you need a budget GPU – HOSTKEY offers the optimal combination of price and performance.

Applications and Use Cases for Cheap GPU Servers

There are many tasks for which cheap GPU servers are used. Here are the main and most important areas:

• Machine learning and artificial intelligence. Cheap GPUs are actively used for deep learning. They have found wide application in the field of machine learning and artificial intelligence development, which is now the cutting edge of high-tech. These technologies require enormous computing power to train models on large amounts of data. GPUs designed for parallel computing significantly speed up the process of training neural networks and other machine learning algorithms. For example, rendering images based on user keywords is a huge, hard job that requires very serious computing power GPU servers for AI.
• Data processing. Large amounts of data have become an integral part of large online businesses and other areas of activity. Cheap GPU servers can be used to analyze data, process images and videos, and perform complex mathematical operations. This is especially useful in areas such as finance, medicine, and scientific research, where the role of modeling and forecasting is becoming increasingly important every year.
• Game development. Video game developers also actively use GPU servers and assign them many tasks — creating and testing game engines, visualizing game worlds and developing graphic effects. High performance of graphics processors allows you to create stunning game developments that impress and attract millions of users and bring profit to developers.
• Rendering and 3D modeling. Professional designers in the field of 3D graphics and animation use budget GPU to render complex scenes and create realistic 3D models of virtual objects. Thanks to their computing power, video cards are able to process many textures, lighting and shadows, which speeds up the process of creating visual effects.

And these are far from all the affordable GPU options. Cheap GPU servers are also very important in the cryptocurrency field, in the visualization of various calculations, and scientific research in a variety of fields.

Cost Comparison: Affordable GPU Server Options

When choosing GPU hosting, cost is often a key factor. If you are looking for a budget GPU, it is important to find the best combination of price and performance. In this comparison, we will look at the available GPU server options, their configurations, and cost to help you find a solution that fits your budget and technical requirements.

Factors Influencing GPU Server Price

The following factors influence GPU server price:

• GPU type: Cheap GPU most often uses budget models like NVIDIA T4 or GTX 1660. Servers with professional accelerators like A100 or H100 will cost significantly more, but their performance is also higher.
• Video memory size: Cards with 8-16 GB of VRAM (for example, RTX 3060) are the best choice for a cheap GPU server. Models with 24+ GB of video memory (RTX 4090, A100) will cost more, but are necessary for complex machine learning tasks.
• Number of GPUs in the server: Configurations with one video card are the most economical option. Multiprocessor systems with 4-8 GPUs are several times more expensive, but provide maximum performance for distributed computing.
• RAM and processor: Basic configurations of budget GPUs usually include 16-32 GB of RAM and a 4-8 core CPU. Increasing these parameters proportionally increases the cost of renting a server.
• Drive type: HDD storage is the most budget option. SSD and NVMe drives increase the speed of operation, but add 10-20% to the cost of a cheap GPU server.
• Payment format: Hourly payment is convenient for testing, but a monthly subscription to the cheapest GPU servers allows you to save up to 40% of the total cost.
• Data center location: Servers in North America and Europe are traditionally more expensive than similar configurations in Asia. The price difference can reach 20-30% for the same characteristics.
• Additional services: Pre-installed images with machine learning frameworks and 24/7 support increase the cost of a cheap GPU server by 5-15%, but save time on setup.

Breakdown of Pricing for HOSTKEY’s Cheap GPU Hosting

HOSTKEY offers the best combination of price and performance. Our prices are among the lowest on the market, while we guarantee stable operation and high-quality equipment.

TOP 4 cheapest GPU servers:

1. NVIDIA Tesla T4 (16GB GDDR6)

   • $ 0.11/hour ($ 79/month)
   • The best choice for inference, basic machine learning, video streaming

2. NVIDIA GTX 1080 Ti (11GB GDDR5X)

   • $ 0.09/hour ($ 65/month)
   • Suitable for model testing, rendering, small calculations

3. NVIDIA RTX 3060 (12GB GDDR6)

   • $ 0.14/hour ($ 100/month)
   • Ideal for training neural networks, 3D modeling.

4. NVIDIA RTX 2080 Ti (11GB GDDR6)

   • $0.16/hour ($115/month)
   • A powerful solution for complex calculations, machine learning.

Why is it really the cheapest GPU?

1. Prices are 40-60% lower than competitors
2. Hourly payment without hidden fees
3. Free trial periods for new customers
4. Instant server deployment
5. Support for all popular frameworks (PyTorch, TensorFlow, etc.)

Key Benefits of HOSTKEY’s Cheap GPU Servers for AI and Machine Learning

HOSTKEY offers budget GPU solutions that are ideal for AI tasks. Our servers provide high performance at minimal cost, which is especially important for startups and researchers.

Cheap GPUs from HOSTKEY allow you to significantly reduce infrastructure costs. At the same time, you get access to modern GPUs, including Tesla T4 and RTX 3060 models, which are great for training neural networks.

Flexible payment systems are another key advantage. You can rent the cheapest GPU by the hour or choose a monthly subscription for long-term projects. This is the optimal solution for testing hypotheses and scaling models.

All servers are pre-configured to work with popular frameworks. You do not have to waste time installing CUDA, TensorFlow or PyTorch — just run your tasks on a GPU immediately after deployment.

Low latency and stable connection provide comfortable work with data. Our data centers are located in optimal locations, which is important for distributed computing in machine learning.

With HOSTKEY you get the cheapest GPU without compromising on quality. This is a profitable opportunity to develop AI projects with minimal investment in infrastructure.