Configurator. Build your perfect server.
G1 PRO RACK
from AED 11,120
G4 PRO RACK
from AED 38,270
G7 PRO RACK
from AED 203,140
Ready-to-Use Solutions. Servers ready for operation.
Professional Tools Built for Flawless Performance.
Professionals across industries rely on specialized software for their daily tasks. HYPERPC GPU servers are designed to be fully compatible with leading software solutions, delivering stable and efficient performance for professionals in various fields.
GPU Server Applications
- Artificial Intelligence and Machine Learning
HYPERPC GPU servers use NVIDIA graphics cards with high memory capacity, ensuring fast and stable performance for machine learning algorithms.
- Data Analysis and Modeling
Businesses engaged in big data analytics, rendering, or financial modeling can leverage GPU servers to speed up complex calculations. This is especially relevant for banking, insurance, and healthcare industries.
- Video Rendering and 3D Graphics
Desktop PCs often lack the power required for fast and stable video and 3D rendering. HYPERPC GPU servers are equipped with high-performance components that ensure rapid processing of video files and 3D models.
- Geophysical and Engineering Calculations
Geophysical and engineering calculations involve vast amounts of data and variables. Processing them on a CPU is time-consuming due to architectural limitations. GPUs parallelize computations, significantly accelerating data processing.
Have Questions?
We’ve Got Answers.
- How to select a GPU server configuration?
The choice depends on the tasks required. Submit a request, and our specialist will help select the right solution.
- How long does assembly and implementation take?
Standard solutions are produced within 5 days. Custom configurations may take up to 30 days.
- What additional services do you offer?
We provide setup, upgrades, and technical support to address any questions or issues.
- Which industries benefit most from GPU servers?
Our clients include companies in finance, healthcare, media, energy, IT, and research sectors.
- What support is provided after implementation?
We offer 12/7 technical support, regular software updates, and assistance with hardware upgrades.
Need a Consultation?
Iterative Model Training
HYPERPC servers enable fast and efficient testing, refining, and optimizing machine learning models. Powerful processors and GPUs support multiple training cycles, accelerating AI development processes. With high computational power and flexible configurations, hypotheses can be tested and optimized without delays. This adaptability makes HYPERPC an ideal choice for projects requiring fast learning cycles and frequent model validation, especially in AI and data analysis tasks.
Scalability
HYPERPC solutions are built on a flexible architecture, allowing seamless resource expansion without compromising system stability. By adding GPUs and processors, computational power can grow in sync with business demands. This is especially critical for businesses dealing with big data and complex tasks. HYPERPC scalability eliminates the need to purchase new hardware, ensuring smooth infrastructure growth as workloads increase.
Data Security
HYPERPC servers provide multi-level data protection using advanced encryption methods and cybersecurity defenses. This safeguards against data breaches and unauthorized access during data transfer, making it especially relevant for companies handling sensitive information. Data protection is implemented both at the hardware level and through integrated software solutions, ensuring reliability when interacting with external providers or clients.
High-Performance Computing
Modern processors such as Intel Xeon and AMD EPYC, combined with NVIDIA GPUs, deliver high-performance computing required for big data processing and complex algorithms. HYPERPC servers handle real-time data processing, simulations, modeling, and parallel computing. This makes them perfect for high-performance tasks in scientific research, fintech, and bioinformatics.
GPU Memory
HYPERPC servers leverage GPUs with Tensor Cores, significantly boosting parallel processing, which is vital for deep learning tasks. Tensor Cores efficiently handle multi-dimensional matrix operations, improving performance for neural network computations. This is essential for AI, machine learning, and data analysis applications where high computational power accelerates model training and complex calculations.
Virtualization
HYPERPC servers utilize Multi-Instance GPU (MIG) technology to efficiently allocate a single physical GPU's resources across multiple virtual systems. This allows several independent applications to run on the same platform, sharing computational power. This solution is particularly beneficial for companies developing and testing software simultaneously, as well as distributed teams needing parallel data processing without performance losses.
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