ARTIFICIAL INTELLIGENCE, MACHINE LEARNING & DEEP LEARNING DEDICATED SERVERS

Get outstanding training and inference times with a GPU equipped dedicated server, perfect for parallel task processing and complex deep machine learning frameworks.

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GPU DEDICATED SERVERS FOR YOUR APPLICATIONS
DEEP LEARNING
DEEP LEARNING

Deploy your most resource intensive applications on a GPU dedicated server, designed specifically for the training of deep learning models.

MACHINE LEARNING
MACHINE LEARNING

When you combine a high-performance GPU with the raw processing power of a dedicated server you get the best possible efficiency out of a single machine. Replace up to 30 serves with a single GPU server.

ARTIFICIAL INTELLIGENCE
ARTIFICIAL INTELLIGENCE

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

*Results may vary based on server configuration.

24/7 SUPPORT
24/7 SUPPORT

Your deep machine learning project requires on the fly technical assistance. A team of GPU server experts are ready to assist around the clock, via phone or live chat.

NVIDIA TESLA T4


The T4 introduces Tensor Core technology with multi-precision computing, making it up to 40 times faster than a CPU and up to 3.5 times faster than its Pascal predecessor, the Tesla P4.


Get access to 8.1 TFLOPS of single precision performance from a single T4 GPU.


Transcode up to 38 full HD video streams simultaneously with a single Tesla T4 GPU paired with our HP BL460c blade server.

*Results may vary, based on server configuration.

  • TURO TU104
  • 320 TURING TENSOR CORES
  • 2560 CUDA CORES
  • 16 GB GDDR6
  • 8.1 TFLOPS SINGLE PRECISSION
  • 65 FP16 TFLOPS
  • 130 INT8 TOPS
  • 260 INT4 TOPS
  • 320 GB/s Max Bandwidth

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

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 / 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

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

RTX 2080 TI Specifications

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

Compatible with Linux, CUDA/OpenCL, KVM.

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.


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

Compatible with Linux, CUDA/OpenCL, KVM.

NVIDIA TESLA P4/P40/P100


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 16 GB CoWoS
  • Enterprise grade hardware

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

NVIDIA 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
  • 653Gbps max bandwidth

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

INTEL XEON PHI COPROCESSOR 7120P


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 need a GPU dedicated server that can process artificial intelligence tasks with high efficiency. Get access to server hardware that is matched with the optimal GPU boards to deliver to best possible results for Deep Learning, Machine Learning and AI tasks. Your services are backed by our industry leading 99.9% uptime SLA and supported by a team of machine learning experts, around the clock.

Sign up

1. Sign up

Configure your GPU dedicated server and submit your order. It only takes a few moments.

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Provisioning

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 resource intensive applications and start using your server.