Rent GPU Dedicated
Server for AI and HPC
Rent a dedicated GPU server for maximum performance and full control
— ideal for machine learning, rendering, and HPC
What are GPU dedicated servers from ITGLOBAL.COM
What tasks are dedicated servers with GPU suited for
Machine learning and Artificial Intelligence
Model training takes less time thanks to parallel computing and access to the full power of GPU accelerators.
High-Performance Computing
High computational capacity enables specialists to run mathematical models, scientific calculations, and simulations more efficiently.
Video rendering and processing
Dedicated GPU servers deliver maximum performance for 3D rendering and high-resolution video processing.
Computer Vision
Accelerated image and video processing enables efficient object recognition, camera data analysis, and process automation.
Scientific Modeling and CUDA Computing
Graphics accelerators allow researchers to perform complex calculations and process simulations faster.
Dedicated GPU Server Architecture
| Parameter | Configuration #1 | Configuration #2 |
|---|---|---|
|
Processor
|
AMD EPYC 7313, 3.0 GHz, 16 cores
|
2 × Intel Xeon 6526
|
|
RAM
|
from 64 GB RAM
|
from 256 GB RAM
|
|
GPU Accelerator
|
up to 2 GPUs per server
|
up to 8 GPUs per server
|
|
Data Storage
|
2 × 480 GB SSD SATA
|
2 × 480 GB SSD SATA
|
|
Network Interfaces
|
1 × 2-port 25Gb Eth SFP28
|
2 × 2-port 25Gb Eth SFP28
|
Available GPUs
NVIDIA H200
Designed for generative artificial intelligence and high-performance computing.
SOPHGO SC7 HP75
An optimal solution for computer vision workloads.
NVIDIA L40S
Designed for artificial intelligence, machine learning, and graphics applications.
RTX Pro 6000 Blackwell Server Edition
Built for generative artificial intelligence, high-performance computing, and enterprise server workloads.
Pricing for Dedicated GPU Server Rental
NVLink Support
Key Benefits for AI and Deep Learning Workloads
Eliminates PCIe bottlenecks by delivering significantly higher inter-GPU bandwidth, which is critical for distributed training;
Combines multiple GPUs into a unified system with near-linear performance scaling as additional GPUs are added;
Enables working with models that exceed the memory capacity of a single GPU by pooling resources across multiple GPUs;
Reduces power consumption during intensive computations through more efficient resource utilization;
Ensures more predictable and balanced workload distribution across GPUs;
Offloads the CPU by enabling direct data exchange between GPUs.
Why ITGLOBAL.COM
Full Compute Power
More Cost-Effective Than Cloud Solutions
Reliable Data Centers
Flexible Configurations
Integration with Other Solutions
24/7 Support
How to Start
Choose your configuration
Submit a request
Get access and start your projects
Our Clients
FAQ
What is a dedicated GPU server rental?
What are dedicated GPU servers used for?
What is the difference between a dedicated GPU server and a cloud GPU instance?
What are the benefits of renting a dedicated GPU server?
Which GPU models are available for rent?
Why rent a GPU server instead of buying hardware?
Can a dedicated GPU server be used in a hybrid infrastructure?
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