Cloud GPU Server Service

  • Cloud GPU Service บริการ Sever Cloudพร้อมระบบประมวลผล GRAPHIC
  • Cloud GPU Service เป็นบริการ เซิร์ฟเวอร์ในรูปแบบ Cloud computing ที่ให้บริก่ารการ์ดจอ GPU ที่มีประสิทธิภาพสูง เพื่อรองรับการทำงานที่มีประสิทธิภาพสูง

Cloud GPU server is a computer in the form of a server fitted with GPU (Graphics Processing Unit) graphics cards to provide graphics processing and mathematical computation that require high speed. The server runs in the cloud, so users can rent it over the internet without having to buy a machine themselves, and can use it 24 hours a day. It is an attractive option for anyone who needs high-speed graphics processing or mathematical computation without spending the time and money to build a server system themselves.

9 เหตุผลที่ GPU SERVER ดีกว่า PHYSICAL MACHINE VS GPU SERVER be PHYSICAL MACHINE

Test system speed by benchmarking the GPU on two operating systems at the same time

Test system speed by benchmarking the GPU and playing games on two systems at the same time

Test system speed with Virtual 360 on two systems at the same time

Who is Cloud GPU suitable for?

Video Editor

Using a Cloud GPU for video editing is possible, especially for complex video editing with multiple layers of effects, which needs the GPU's ability to process images quickly.

Processing speed: A Cloud GPU can process video quickly and highly efficiently, because a GPU can process many images at the same time (parallel processing), making it suitable for complex video editing with high processing speed requirements.

Saves time and resources: A Cloud GPU saves time and resources, because you do not need a computer with a high-performance graphics card for video editing, which could otherwise lead to inefficient CPU usage.

Convenient access: A Cloud GPU is easy to access without having to buy or rent a computer with a high-performance graphics card for video editing.

Big data

Using Cloud GPU to process Big Data is one way to handle very large datasets efficiently.

Processing speed: A Cloud GPU is highly efficient at processing large amounts of data, including large Big Data, so it can process Big Data quickly.

Hardware customization: A Cloud GPU lets us customize the hardware to our needs, so we can increase processing performance as required. Convenience and lower cost: Using a Cloud GPU to process Big Data is more convenient and faster than using a personal computer. It also saves the cost of buying hardware and software.

Remote connection: A Cloud GPU can be connected remotely, so users can collaborate effectively even when thousands of kilometers apart.

Machine Learning

Cloud GPU for Machine Learning is very important, because large or complex models can handle data efficiently in less time than smaller models, with Cloud GPU

Model learning speed: A Cloud GPU is highly efficient at processing large or complex data, so machine learning can proceed quickly.

Learning customization: A Cloud GPU lets users customize model training to their needs, helping us improve the model's learning performance effectively.

Convenience and lower cost: Using a Cloud GPU for machine learning is more convenient and faster than using a personal computer. It also saves the cost of buying hardware and software.

Remote connection: A Cloud GPU can be connected remotely, so users can collaborate effectively

Encyption / Decyption

Using a cloud GPU to encrypt data can increase speed and working efficiency, especially for encrypting very large and complex data, which may take a long time to process on a regular CPU or GPU.

Using a cloud GPU to encrypt data requires programs that support GPU use, such as CUDA or OpenCL, which are technologies for processing data on a GPU, especially for encryption using symmetric encryption, which is more complex than asymmetric encryption methods.

In addition, using a cloud GPU also reduces operating costs, since there is no need to invest in buying additional GPUs, and it also reduces the space used in the data center, because a GPU can process data in parallel far better than a CPU without needing much space to install.

3D Modeling

Using a Cloud GPU for 3D Modeling is another interesting approach, as it is easy to use and highly efficient, with Cloud GPU

Processing speed: A Cloud GPU is highly efficient at complex processing, so 3D models can be created quickly.

Modeling customization: A Cloud GPU lets users customize model creation appropriately, which helps produce more realistic models.

Remote connection: A Cloud GPU can be connected remotely, which lets users collaborate effectively.

Convenience and lower cost: Using a Cloud GPU for 3D modeling is more convenient and faster than using a personal computer. It also saves the cost of buying the hardware and software required for 3D modeling.

Gamer / PC

A Cloud GPU can be used for gaming, giving players access to powerful computing resources and advanced graphics capabilities via the cloud. Cloud gaming services let gamers stream games over the internet to their own devices, which may include PCs, laptops, mobile devices or even smart TVs.

By using a cloud GPU for gaming, gamers can enjoy a high-quality gaming experience without expensive hardware or the need to keep upgrading their equipment. Cloud gaming services generally provide access to a library of games playable on demand, so there is no need to buy games one at a time.

Cloud gaming services also let gamers play on a wider range of devices and operating systems, as long as they have a reliable internet connection. This lets gamers play their favorite games on devices that may not have the processing power or graphics capability needed to run the games natively.

Cloud GPU Server Rental Packages and Prices

Cloud GPU Server rental cost depends on 3 main factors: the GPU model and number used (such as RTX 4090, A100, H100), the vRAM/RAM/storage size required, and the rental model (hourly On-demand or monthly Dedicated Server). The table below shows estimated prices (starting from) based on international Cloud GPU provider market rates in mid-2026, converted to baht to give a rough idea. Actual prices for services at mtxr.co may differ depending on machine specs, contract length and current promotions. Please contact our team for an accurate quote.

GPU Tier Example Models Suited For Estimated Price (per hour) Estimated Price (Monthly Dedicated)
Entry Level RTX 4090 24GB Video editing, 3D rendering, gaming, small-model Inference ~15 – 35 THB Starting ~10,000 – 25,000 THB
Mid Level A100 40GB / 80GB Machine Learning training, Big Data, AI research ~50 – 90 THB Starting ~35,000 – 65,000 THB
High Level H100 80GB Training large AI/LLM models, work needing maximum speed ~90 – 160 THB Starting ~65,000 – 115,000 THB

*The figures above are estimated prices based on average international Cloud GPU market rates, intended only as a guide for initial budget planning. They are not actual selling prices at mtxr.co and do not include VAT, setup fees or additional data storage fees.

Supported Rental Models

  • Hourly (On-demand): Suited to testing, occasional use, or Workloads that scale up and down often. Pay for actual usage.
  • Monthly (Dedicated GPU Server): Suited to businesses with continuous use that need fixed resources and a lower hourly cost than hourly rental.
  • Long-term contracts (3-12 months and up): Extra special discounts are available. Please contact our team for long-term contract pricing.

To use the service or get a quote that fits your Workload, contact our team by phone at 02-0000-199 or LINE ID @metaxr so our team can help assess the most suitable specs and price.

Contact us at 02-0000-199

*** LINE ID: @metaxr ***