Competitive pricing for top-tier NVIDIA GPUs



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H200 | H100

Nvidia GPU

  •   Nvidia GPU
  •   GPU Memory
  •   vCPU
  •   64 RAM
  •   1TB SSD
  •   5TB Bandwidth
  •   1 Gbps Network Speed
  •   1 Dedicated IP
  •   Linux / Windows OS*
  •   24/7 Support
A30 | A40 | A100

Nvidia GPU

  •   Nvidia GPU
  •   GPU Memory
  •   vCPU
  •   64 RAM
  •   1TB SSD
  •   5TB Bandwidth
  •   1 Gbps Network Speed
  •   1 Dedicated IP
  •   Linux / Windows OS*
  •   24/7 Support
V100

Nvidia GPU

  •   Nvidia GPU
  •   GPU Memory
  •   vCPU
  •   64 RAM
  •   1TB SSD
  •   5TB Bandwidth
  •   1 Gbps Network Speed
  •   1 Dedicated IP
  •   Linux / Windows OS*
  •   24/7 Support
RTX A4000

Nvidia GPU

  •   Nvidia GPU
  •   GPU Memory
  •   vCPU
  •   64 RAM
  •   1TB SSD
  •   5TB Bandwidth
  •   1 Gbps Network Speed
  •   1 Dedicated IP
  •   Linux / Windows OS*
  •   24/7 Support
RTX A5000

Nvidia GPU

  •   Nvidia GPU
  •   GPU Memory
  •   vCPU
  •   64 RAM
  •   1TB SSD
  •   5TB Bandwidth
  •   1 Gbps Network Speed
  •   1 Dedicated IP
  •   Linux / Windows OS*
  •   24/7 Support
RTX 8000

Nvidia GPU

  •   Nvidia GPU
  •   GPU Memory
  •   vCPU
  •   64 RAM
  •   1TB SSD
  •   5TB Bandwidth
  •   1 Gbps Network Speed
  •   1 Dedicated IP
  •   Linux / Windows OS*
  •   24/7 Support

What is GPU Dedicated Server?



A GPU dedicated server is a physical server dedicated to a user or organization and equipped with one or more GPUs (graphics processing units). These servers are usually used for high-performance computing tasks that require a lot of parallel processing capabilities, such as scientific simulation, machine learning, and video rendering.

When choosing a GPU instance, you should consider factors such as the type and complexity of the applications you will be running, the amount of memory and storage you need, and the level of support and customization you require.

  •   Running scientific simulations.

  •   Data analytics and mining.

  •   Training of Neutral networks

  •   Images and Video processing.

  •   Financial modeling and analysis


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FAQ - Your questions?

Yes, a GPU dedicated server can be used for streaming and running Android emulators. By providing improved performance, faster processing, multi-tasking, and customization options, a GPU dedicated server can help you to create a stable and efficient environment for these applications.
Some common GPUs used in hosting environments include Nvidia GeForce, Quadro, Tesla, and RTX Server. The specific GPU you choose will depend on your needs and the applications you will be running.
AI and Machine Learning: Accelerate training and inference of deep learning models, deploy real-time AI services, and host pre-trained large language models. Data Analytics: Speed up big data processing and real-time analytics using GPU-optimized frameworks. Content Creators: Handle large-scale rendering and video editing tasks efficiently. Data Scientists: Perform big data analytics, simulations, and complex mathematical rigor with ease. Game Developers: Speed up development times with enhanced graphics rendering. Healthcare & Medical Imaging: Enhance diagnostics, image analysis, and simulations requiring high computational power. High-Performance Computing: Support scientific research, climate modeling, genomics, and complex engineering simulations.
We’re excited to offer a 24-hour free trial for new clients to test our servers. To request a trial, please follow these steps: 1. Choose a plan and click 'Order Now'. 2. Enter ‘24-hour free trial’ in the notes section and click “Check Out”. 3. Click 'Submit Trial Request' at the top right corner, and complete your personal information as instructed; no payment is required. Once we receive your trial request, we’ll send you the login details within 30 minutes to 2 hours. If your request cannot be approved, you will be notified via email.