GPU Server

Accelerate your AI Journey with NVIDIA GPUs on a Secure, Trusted and Scalable Platform

  • High Efficiency
  • Rapid Processing
  • Fast Deployment
  • AI Optimization
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GPU Server

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It may take 2 to 15 days for dedicated server delivery from the time you confirm the dedicated server configuration.

Features

Top Features for Handling Heavy Workloads

NVIDIA Powered GPU

NVIDIA Powered GPU

Leverage cutting-edge visual computing with NVIDIA GPU cards, such as the NVIDIA Tesla, NVIDIA ADA, NVIDIA HGX, NVIDIA RTX, And many more, upon release.

NVMe Storage

NVMe Storage

With all NVMe storage, you can benefit from ultra-fast data access, providing lightning-fast read/write speeds for data processing and efficiency.

Intel & AMD CPUs

Intel & AMD CPUs

Harness the power of Intel Xeon and AMD EPYC processors to process complex tasks with unparalleled speed and efficiency.

Flexible Configuration

Flexible Configuration

Our Dedicated GPU servers are configurable to your specific needs. Get a quick quote for your Custom requirement.

Bandwidth

Bandwidth

A 100 TB monthly bandwidth is included with every dedicated GPU server.

Full IPMI Access

Full IPMI Access

GPU Servers can be accessed through IPMI or KVM/IP for direct resource access. If server access is lost, the serial console can be used to retain control over the public IP.

Operating System

Operating System

With our GPU Dedicated Server plans, you can choose from any of these operating systems: Windows Server 2019, Debian, Fedora, Almalinux, CentOS, CloudLinux, ProxmaxUbuntu, and many more options that best suit your requirements.

Add-on GPU Server Features

DDoS Protection

DDoS Protection


Protect your operations from DDoS attacks with our advanced protection services, which can detect and mitigate threats in real time.

Additional IP Address

Additional IP Address


Our GPU server is equipped with at least 1 IP address. If you require additional IP addresses, you can purchase them as an add-on while placing your order.

GPU Server

Accuweb hosting offers GPU server hosting with powerful parallel processing capabilities for various applications.

Machine Learning and AI

Machine Learning and AI

GPU servers are used in machine learning and artificial intelligence applications. It handles the massively parallel computations involved in these apps, reducing training time & improving accuracy.GPUs are commonly used in image and speech recognition, natural language processing, and recommender systems.

GPU Hosting for Scientific Simulations

GPU Hosting for Scientific Simulations

Like weather forecasting and materials science, scientific simulations require high computing power. GPUs speed up these simulations by processing data in parallel. GPU servers optimize simulations and analyze data using machine learning in scientific research.

Video Rendering & Transcoding

Video Rendering & Transcoding

GPU servers are ideal for video production, streaming, and editing applications. They speed up video rendering and transcoding by parallelizing the encoding and decoding process.

Global Server

Available Server Locations

AccuWeb Hosting offers the best GPU servers at various locations. Choose any area from the following.

Available Server Locations
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FAQ

A dedicated GPU server has one or more graphics processing units (GPUs), specialized CPUs, and large amounts of RAM and storage. It is designed to perform computationally intensive tasks, such as video rendering, machine learning, and data analytics.

When selecting a GPU instance, you must consider the type & complexity of the applications you will be running, the amount of memory & storage you need, and the level of support and customization you need.

A GPU server can be used for streaming and Android emulators. It provides faster processing, improved performance, multitasking, and customization options, making it perfect for building a stable & efficient environment for these applications.

GPU Dedicated Servers have specialized graphics cards designed for complex graphical computations. These servers excel in parallel processing, making them ideal for large datasets and high-resolution graphics tasks.