Nvidea GPU Dedicated Server Plans

Cheap & Fast GPU Server with Nvidea

  • Choose Your Requirement
  • Server Type
  • DataCenter
  • RAM
  • CPU Core
  • Storage (SSD/HDD)
  • Flag
    Datacenter - USA
  • VMLG101
  • Intel Xeon X3440
  • CPU Quad-Core
  • RAM 16 GB
  • Storage 1080 GB SSD
  • Nvidia GeForce GT710
  • GPU RAM 1 GB
  • 120 Mbit/s port
  • 100Mbps Unmetered Bandwidth
  • Other Details  
  • Out Of Stock
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Why GPU Servers

Our GPU servers are powerful and ideal for accelerating the high-performance computing tasks running on multiple parallel processes.

The power of NVIDIA Tesla GPU with dedicated servers accelerates your workload.

  • High performance

  • 99.99% uptime

  • Cost-Effective

  • Secure

Our plans are ideally suited to meet the requirements of nearly all organizations, and when you need a custom plan for GPU dedicated server hosting, we are the right point of contact.

Ways in which your organization benefits by using a GPU server

GPU (Graphical Processing Unit) Servers are frequently known as graphic cards. Using them, powerful algorithms are run parallel to free the CPU of such tasks.

CPU or the Central Processing Unit typically serves several purposes but is vastly associated with general computing tasks. The CPU however has only a few cores that are focused upon sequential processing. It is hence not optimized to run parallel tasks. But, GPU is composed using thousands of small cores and is hence ideal for running thousands of functions simultaneously.

Key technologies where GPU servers have an outstanding utility include Artificial Intelligence (AI), Machine Learning (ML), Big Data manipulation, Deep Learning, and 3D rendering. The scope of GPU servers further spans to applications such as streaming. Clients find the ability to simultaneously handling multiple requests and instructions.


CPU leverages the robust GPU architecture for running mathematical processing at high speeds. Using GPU servers, the CPU's performance enhances, so, the powerful and demanding tasks can be simultaneously run.


As compared to a GPU, a CPU is more expensive. Physical GPUs will call for space and maintenance, but GPU servers are more affordable and scalable. GPU servers, similarly, consume less energy than CPUs.

Advantages of GPU Servers

Large Data: Organizations nowadays collect a magnanimous amount of data through sources such as sensors. GPU servers are used to transform this data into legible information that yields profitable insights. Data processing is nowadays a quintessential aspect of nearly every sector.

To play with data, a powerful CPU is a preliminary requirement. The role of a GPU server hence becomes indispensable here for boosting the performance and power of CPUs. Conducting high-end calculations hence becomes possible.

Using GPU servers, the CPU is empowered to in-parallel execute tasks quicker. GPU servers find more adaptation in the fields of data science and machine learning by the day. The servers escalate the training of the models by powering the technological infrastructure.

Rendering: For the post-processing of 3D models, images, and videos, a Dedicated Server and GPU are an ideal combination. When the CPU manages parsing, then rendering each pixel over the screen takes longer. But when the CPU is accompanied by GPU servers, parsing of images or videos is quicker.

Time lag can appear even in the case of powerful servers when they render scenes that involve a significant number of elements. Servers are not built for managing such tasks.

But when our GPU servers power the machines, the workflow of parallel video streams smoothens up. Execution of multiple elements simultaneously hence simplifies.

Streaming: For online streaming, GPU servers are the preferred solution. They effectively manage worldwide streaming or running live programs or webinars. Being high computing tasks, such requirements call for powerful machines.

Our Dedicated GPU server empower our consumers to streamline online events for numerous visitors located worldwide. HQ content is flawlessly delivered to all parallel connections.

Image Recognition: In a few industries, it becomes important to extract the data from images. This makes it easier to classify images, identify elements or build richer documents. Frameworks such as Caffe2, upon combining with Tesla V100 GPU, simplify access to medical imaging, public protection, social networks, and security.

Situation analysis: In a few of the cases, real-time analysis is called for. Herein, for facing situations that are unpredictable and varied, an appropriate reaction is called for.

A few of the applications that use this technology include traffic analysis, internet networks, and self-driving cars. Herein, deep learning also finds widespread applications. Deep learning is used to create neural networks. Through a training stage, neural networks learn independently.

Human interaction: People learned how to communicate with machines earlier. However, in the present-day era, it is machines that interact with human beings. TensorFlow is one of the tools that take human interaction to the next level. This is accomplished through using videos and sounds for emotion recognition, or through speech recognition. Several new uses for these technologies come to the fore, with these results derived.

Our cloud servers are specifically designed for parallel processing of massive tasks.

Upon integrating GPU instances with NVIDIA Tesla V100 graphic processors, meeting the massive requirements of parallel processing becomes possible. Being integrated into the Oxtrys, they yield the advantages associated with hourly billing and on-demand resources. GPU servers are adaptable to the requirements of deep learning and machine learning.

Powered by NVIDIA Tesla V100

Our GPUs are among the most powerful that the market offers and have been created for use in data centers. This helps meet computing requirements in fields such as graphic computing and artificial intelligence (AI).


For making the best possible end-user experience possible, NVIDIA and OVH have now entered a partnership. They make the finest GPU-accelerated platform available, for applications such as artificial intelligence (AI), high-performance computing, and deep learning. This is the simplest method towards the deployment and maintenance of GPU-accelerated containers, by using a full catalog.

Get one to four cards with a guaranteed performance

Tesla cards are received directly at the instance through PCI Passthrough, and a virtualization layer is not called for. The entire power of the cards is hence dedicated for the end customers’ use. A user can connect up to four cards, and their performance is then combined. The hardware can hence offer its entire computing power for your application.

ISO/IEC 27001, 27701 compliance

Our cloud services and infrastructures are ISO/IEC 27001, 27017, 27018, and 27701 certified. With these certifications, a user is guaranteed the availability of an information security management system (ISMS). This aids with implementing business continuity and managing vulnerabilities and risks. A privacy information management system (PIMS) is also included. Our compliance enables you to securely host healthcare data.