What are Cloud GPU Servers?
A GPU-accelerated infrastructure is a public cloud using VMware and virtual machines powered by NVIDIA A800 graphics cards. These GPUs boost the performance of virtual infrastructure, ensuring high efficiency and resilience, while delivering a robust, fault-tolerant environment.
What are graphics accelerators used for:
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Machine learning and artificial intelligence
Model training takes developers less time thanks to parallel processing capabilities.
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High-performance computing
Specialists can complete mathematical models and scientific calculations much faster with strong computing power.
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Scientific modeling and CUDA computations
Graphics accelerators empower scientists to conduct complex calculations and simulations with greater speed and efficiency.
What industries make use of GPU servers:
AI and machine learning research and development;
Healthcare and biotechnology;
Finance and banking;
Video game industry.
Architecture and design;
Key Advantages of ITGLOBAL.COM’s GPU Cloud Rental
vGPU Virtualization Support
Enables the efficient sharing of a single physical GPU across multiple virtual machines, providing flexibility, scalability, and cost savings for users.
NVIDIA AI Enterprise License
Provides a comprehensive set of AI development tools, ensures compatibility with virtual and cloud platforms, includes technical support and updates, and accelerates the development and deployment of AI applications.
Advantages of NVIDIA A800
GPU Cloud Configurations
Ideal for initial configurations and testing, small models, and ML tasks.
Enhances performance for medium AI tasks and larger data processing.
Suited for complex computations and large models with massive data tables.
Designed for the most demanding tasks, such as recommendation system modeling and deep learning (DLRM).
Why ITGLOBAL.COM
An international group of companies with 15 years of experience in cloud IT infrastructure.
High availability and fault tolerance ensured by eliminating single points of failure.
Turnkey solutions powered by the group’s accumulated expertise and technology.
Quick startup and flexible scalability without capital expenditures.
Test GPU Cloud performance
Try out our cloud services to ensure their quality before making a decision to partner.
- Submit a request on our website
- Receive demo access
- Use the demo period to see how ITGLOBAL.COM’s cloud services work
FAQ
- Number of cores. A CPU typically has 4-8 cores, while a cloud GPU server contains many more—ranging from 100 to 1,000 cores. These GPU cores are less powerful individually compared to those of a central processor but excel at parallel processing.
- Data processing method. A CPU handles sequential tasks, like managing an operating system, while a cloud graphics card processes data in parallel. This makes it ideal for 3D modeling, high-performance computing (HPC), and machine learning.
- Number of threads. A CPU supports up to two computing threads per core, whereas a GPU can handle thousands of threads per multiprocessor, and each chip has multiple multiprocessors. This thread capacity makes GPU server rental for any capacity an excellent choice for large-scale data processing.
- Device memory usage. A CPU’s cache takes up a significant portion of device memory. In contrast, a GPU server requires only about 128-256 kB for image rendering, ensuring efficient memory use in GPU rental setups.
- Computation speed. Clock speed is a primary technical metric for processors. Unlike a CPU, applications running on a cloud GPU server perform much faster and maintain consistent speeds without fluctuations.
Buying graphics accelerators involves high costs for purchase, maintenance, repairs, and annual updates. Russian companies face increased costs and delivery times due to parallel imports. Providers benefit from better conditions due to higher turnover, making a cloud GPU server for rent more advantageous.
Opting to order a cloud server with GPU allows businesses to access powerful cloud GPU services without managing hardware, reducing expenses and ensuring up-to-date technology.
Our GPU virtual machines come with support for Windows and Linux.
To connect GPU, it is necessary to contact our technical support to create a special virtual data center (vDC). Then the user can independently create virtual machines and assign available GPU profiles to them. This setup is ideal for those needing a dedicated server with GPU or exploring GPU server hosting, providing flexibility and efficient resource management.
No specific hardware requirements are needed for GPU server hosting, so you can use a laptop or a basic desktop with remote desktop software installed. Once connected, all tasks are performed through the cloud server with GPU infrastructure, allowing you to leverage powerful processing capabilities without needing high-end local hardware.
ITGLOBAL.COM specialists have already installed the drivers in the VM template for servers with GPU graphics cards. To get started, simply deploy a virtual machine from the pre-configured template and connect the GPU. If you need to deploy your own VM outside the template, you can request the appropriate driver version for servers with GPU graphics cards from technical support.
The GPU Cloud service offers customers the following vGPU configurations on VMs:
- 1 vGPU A100 10GB
- 2 vGPU A100 20GB
- 3 vGPU A100 40GB
- 4 vGPU A100 40GB
- 7 vGPU A100 80GB
vCPU and RAM configurations range from 4 to 64 vCPUs and 10 to 1024 GB RAM per VM. The profiles are pre-configured, making it easy to select and add them when creating a VM.
The service conditions defined in the SLA are as follows: planned availability — 100%; guaranteed availability — 99.95%; request processing time — 4 hours; incident response time — 1 hour.
New ITGLOBAL.COM clients can take advantage of a free trial period of up to 30 days to evaluate cloud performance, service quality, and make an informed decision about partnership. This trial period is an excellent opportunity for businesses exploring AI cloud solutions or those needing a dedicated server with GPU capabilities to experience the power and flexibility of ITGLOBAL.COM’s services before committing long-term.
GPU cloud servers operate as a type of public cloud based on VMware, with VMs running on NVIDIA A800 graphics cards. The service includes options for GPU server rental for any capacity, ensuring that businesses can scale resources according to their needs. Customers are billed on a pay-as-you-go model, paying only for the resources allocated to their VMs.
The cost of a cloud server with GPU depends on several factors: the number of VMs, chosen configuration, and rental period. If you’re specifically looking for cloud NVIDIA GPU price details, these elements will influence the final quote. To receive a custom quote for cloud server with GPU price, please fill out the form below.