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Dedicated GPU
High-performance Accelerators for Cloud Servers Parallelizing Computations

Suitable For Parallel Processing, Machine Learning & Graphics-Intensive Applications.

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Dedicated GPU

Dedicated GPU For Optimized Parallel Computation Ability

Achieve Ultra-High Performance

Harness the full power of dedicated GPU to achieve ultra-high performance computing cloud servers specialized in Data Parallel Computation, Machine Learning and Graphic-Intensive Projects.

US$165.00/mth
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Why Dedicated GPU Cloud Servers
Save Cost
Save Cost
Reduction in capital cost - high purchasing and maintaining costs of GPU are minimized for better leveraging IT budget.
Market Leading Hardware
Market Leading Hardware
Powered by NVIDIA T4, a high-rating GPU with considerable CUDA, Tensor and RT Cores for parallel processing.
Image Processing Capabilities
Image Processing Capabilities
According to GeekBench, the Gaussian Blur and Depth of Field Performance Score are 102,644 and 302,959 respectively.

Use Cases

Video/Graphics Processing
Video/Graphics Processing
Perfect for graphic-intensive applications such as 2D/3D rendering video encoding. Able to delivery high-resolution outputs and shorten processing time for designers.
Deep Learning
Deep Learning
Effective in reducing machine learning training time from days to minutes. It enables researchers and developers to obtain faster, more accurate information from deep learning.
Parallel Processing
Parallel Processing
By leveraging GPU-powered parallel processing capability, the resource-heavy tasks can be run efficiently at rates up to ten times faster than a counterpart CPU.
Gaming
Gaming
Incredible performance in lastest eSport, VR or AAA title. Specialized in rendering and streaming compute-intensive games to deliver the best-quality and smoothest gaming experience to gamers.

Technical Specifications

Technical Specifications

Dedicated GPU Plans

 
Compute-Optimized Cloud Servers
Compute-Optimized Cloud Servers
DC308-HK/ DC408-HK/ DC508-HK

Harness the full power of the CPU without neighbors competing for computing resources. Designed for long-running and latency-sensitive applications.

AMD EPYC Milan NVMe SSD Dedicate GPU
 
Dedicated Hardware
Dedicated Cloud
Dedicated Hardware

Powered by dedicated physical resources that are not shared with others.

CPU model options
amd epyc cpu intel xeon
Storage options
NVMe SSD SSD SAS
Environment
Dedicated Hardware Dedicate GPU

Explore more docs

Product Docs

Product Docs

Dedicated GPU Overview
Last updated on 01/02/2021
Tutorial

Tutorial

How to install GPU Drivers on Linux Cloud Servers
Last updated on 02/02/2021
How to install GPU Drivers on Windows Cloud Servers
Last updated on 02/02/2021
Blog

Blog Post

Dedicated GPU For Cloud Servers
Last updated on 01/02/2021
How does NVIDIA’s GPU Power Up LayerStack’s Cloud Server Services?
Last updated on 05/03/2021
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