Compute. Render. Virtualize. Mine. TensorFlow. Keras

GPU Dedicated servers for mining starting at just $89/month.

Yes, Get my Server

NVIDIA GPU dedicated servers for deep learning, graphics rendering, video transcoding, computing, or crypto mining.


Choose any server, and any GPU. Your server is built with HPE enterprise parts, tested for full compatibility with your GPU of choice.


Your GPU dedicated server operates in a temperature and humidity controlled environment, delivering consistent results and maximum efficiency.


Deploy your GPU dedicated server on a custom build, global network, designed for low latency.


Help is just a click or call away. Get access to instant support from helpful humans, available around the clock.

Coral USB Accelerator

Coral USB Accelerator

With the new Coral USB Accelerator, you can add Edge TPU to any Linux-based system. A low cost for power that can provide high-performance ML.

Coral USB Accelerator Specifications

  • ARM 32 Bit Cortex 32 MHz
  • Edge TPU ASIC (for Lite TensorFlow models)
  • USB 3.1 5Gb/s transfer speed

Compatible with Linux machines, Debian 6.0 or higher, or any derivative (such as Ubuntu 10.0+), but also with Rasberry Pi (213 Mode B/B+).

NVIDIA GeForce RTX 2080

NVIDIA GeForce RTX 2080 / RTX 2080 Ti

Get up to six times the performance of the Pascal chip predecessor, with the RTX 2080, powered by NVIDIA’s new Turing chip architecture.

RTX 2080 Specifications

  • 8GB GDDR6
  • 2944 CUDA Cores
  • 448 GB/s Max Bandwidth
  • NVIDIA GPU Boost 4.0

RTX 2080 TI Specifications

  • 11GB GDDR6
  • 2944 CUDA Cores
  • 616 GB/s Max Bandwidth
  • NVIDIA GPU Boost 4.0

Compatible with Linux, CUDA/OpenCL, KVM.

GeForce GTX 1080

NVIDIA GeForce GTX 1080/1070 TI

Get the best performance in graphics rendering, computing or mining, with the Pascal architecture based GPU from NVIDIA, the GeForce GTX 1070/1080.

  • 8GB DDR5
  • 2560 CUDA Cores
  • 320 GB/s Max Bandwidth
  • NVIDIA GPU Boost 3.0

Compatible with Linux, CUDA/OpenCL, KVM.

Tesla P4


NVIDIA’s Pascal chip based GPU boards are best suited for video transcoding and machine learning tasks. Use a Tesla P4 GPU to transcode up to 20 simultaneous video streams, H.264 or H.265, including H.265 8k. Results may vary based on stream bitrate and server configuration.

A more robust version of the P4 is the Tesla P40, with more than twice the processing power.

Looking for the perfect GPU for machine learning? The Telsa P100 GPU board can process up to 18.7 TeraFLOPS of inference performance. A single P100 GPU dedicated server can replace up to 25 CPU servers. Result may vary based on server configuration.

  • Pascal GP100 or GP104 chip
  • Up to 3584 CUDA cores
  • Up to 16GB CoWoS
  • Enterprise grade hardware

Compatible: VMWare ESXi, Citrix Xenserver, KVM, Linux, Windows.

Titan V


Get your deep learning results up to 1.5x faster, when compared to the P100 GPU board. Process up to 110 TeraFLOPS of inference performance with the Titan V GPU. Use the Titan V to predict the weather or to discover new energy sources. It’s the optimal GPU choice for precise, fast results.

A single Titan V GPU server can replaced up to 30 single CPU servers. Results may vary based on server configuration.

  • NVIDIA Volta Chip
  • 5120 CUDA cores
  • 640 Tensor Cores
  • 12 GB CoWoS Stacked HBM2
  • 653 Gbps max bandwidth

Compatible: VMWare ESXi, Citrix Xenserver, KVM, Linux, Windows.



Add a coprocessor board to your dedicated server to exponentially increase your processing power. A single Phi 7120P board adds 61 cores to your server, creating one of the most powerful servers available on the market to date.

  • 61 Processing Cores
  • Clock Speed 1.238 GHz
  • Turbo Speed 1.333 GHz
  • 30.5 MB Cache

Compatible: VMWare ESXi, Citrix Xenserver, KVM, Linux, Windows.

Why Server Room?

Your resource intensive applications require enterprise grade hardware, stress tested for constant high loads. Your GPU dedicated server configuration is ran through a series of tests to ensure full hardware compatibility and integration with your GPU of choice. Your services are backed by our industry leading 99.9% uptime SLA and are supported by a team of experts, available around the clock.

Sign up

1. Sign up

Create your Server Room GPU dedicated server account today. It only takes a few minutes.

Yes, Get my Server

2. Provisioning

GPU dedicated servers are provisioned within 24 – 72 hours. *Provisioning time may up to two weeks if your GPU of choice is out of stock.

Get Started

3. Get Started

Deploy your services and applications and start using your GPU server.