High-end Linux GPU Instances

Speed up the computing of Deep Learning tasks with powerful multi-GPU dedicated servers

 

Why GPU server?

CPUs are designed for general purpose computing, able to handle anything thrown at them. As such, for running a flexible array of applications, such as an email server, web client or word processing application, they're ideal. Yet, if focused on a specific task, custom hardware designed to do that job will be faster than a CPU. A good example of this is Graphics Processing Units (GPUs), which are built differently to CPUs. Designed specifically for generating realistic 3D graphics at speed, GPUs are built to process fast and accurate floating-point number arithmetic. GPUs typically have slower core speeds than CPUs, but they can have thousands of cores running in parallel. The result is that certain mathematical operations can run faster on a GPU than a CPU. GPU servers, as the name suggests, are servers packed with graphics cards, designed to harness this raw processing power. Using an offloading process, the CPU can hand specific tasks to the GPUs, increasing performance.

DealonCloud offers GPU Cloud Instances based on NVIDIA Tesla v100 and NVIDIA T4 GPU cards.

 
 

LGPU - 1

USD 249 / mo

  • 12 Cores
  • NVIDIA T4
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • 16 GB GPU Memory
  • 50 GB RAM
  • 900 GB SSD Disk Space

LGPU - 2

USD 513 / mo

  • 12 Cores
  • 2 x NVIDIA T4
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • 32 GB GPU Memory
  • 110 GB RAM
  • 900 GB SSD Disk Space

LGPU - 3

USD 570 / mo

  • 32 Cores
  • 2 x NVIDIA T4
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • 32 GB GPU Memory
  • 110 GB RAM
  • 1800 GB SSD Disk Space

LGPU - 4

USD 713 / mo

  • 8 Cores
  • NVIDIA Tesla V100
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • 32 GB GPU Memory
  • 120 GB RAM
  • 900 GB SSD Disk Space

LGPU - 5

USD 855 / mo

  • 16 Cores
  • NVIDIA Tesla V100
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • 32 GB GPU Memory
  • 180 GB RAM
  • 1800 GB SSD Disk Space

LGPU - 6

USD 1069 / mo

  • 16 Cores
  • 2x NVIDIA Tesla V100
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • 64 GB GPU Memory
  • 240 GB RAM
  • 1800 GB SSD Disk Space

LGPU - 7

USD 1283 / mo

  • 32 Cores
  • 2x NVIDIA Tesla V100
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • 64 GB GPU Memory
  • 360 GB RAM
  • 3600 GB SSD Disk Space

LGPU - 8

USD 2566 / mo

  • 32 Cores
  • 4x NVIDIA Tesla V100
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • 128 GB GPU Memory
  • 480 GB RAM
  • 3600 GB SSD Disk Space

LGPU - 9

USD 3421 / mo

  • 64 Cores
  • 4x NVIDIA Tesla V100
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • 128 GB GPU Memory
  • 720 GB RAM
  • 7200 GB SSD Disk Space

LGPU - 10

USD 570 / mo

  • 16 Cores
  • 1x NVIDIA RTX 8000
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • 48 GB GPU Memory
  • 120 GB RAM
  • 900 GB SSD Disk Space

LGPU - 11

USD 1140 / mo

  • 32 Cores
  • 2x NVIDIA RTX 8000
  • OS: Ubuntu 16 / Ubuntu 18 / Centos 7
  • 96 GB GPU Memory
  • 240 GB RAM
  • 1800 GB SSD Disk Space