gpu dedicated servers

Compute. Render. Virtualize. Mine. TensorFlow. Keras

GPU Dedicated servers for mining starting at just $59/month.

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

Enterprise GPU dedicated servers

Custom configurations

Custom configurations

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

Consistent results

Consistent results

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

Fast network

Fast network

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



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GPU Dedicated Servers with instant deployment and low prices

Low-cost GPU dedicated servers

GPU bare metal cloud servers, starting at $59/mo.

Get instant access to your bare-metal server

Deploy your server instantly, in a global network backed by a 99.9% uptime SLA.

24/7 Support

A team of GPU experts is available around the clock, via phone or live chat.

See Configurations

Hourly price per A100 GPU


*Pricing based on a single A100 GPU with 40GB VRAM.

up to 4 matching gpu's per server


nvidia quadro rtx a4000 / a5000 /a6000

Nvidia's new generation of Ampere-based GPUs significantly outperforms the Turing Quadro RTX series. The second generation RT Cores accelerate the processing time of workloads such as photorealistic rendering, 3D design and ray-tracing for greater visual accuracy. The RTX A series also brings AI to graphics, with features such as DLSS, AI denoising, and enhanced editing for certain applications.

QUADRO RTX A4000 Specifications

QUADRO RTX A5000 Specifications

QUADRO RTX A6000 Specifications


nvidia rtx 3070 /3080 / 3090

NVIDIA’s GeForce RTX 30 (2nd generation RTX) series GPU’s running on Ampere architecture, introduce many innovations, from faster Ray Tracing and Tensor Cores to state-of-the-art multiprocessor streaming. The WOW factor comes from the groundbreaking thermal design that’s 2X more efficient and the ultra-fast GDDR6X memory, that delivers outstanding performance, making it ideal for AI projects with large datasets, gaming, or visualization.

RTX 3070 Specifications

RTX 3080 Specifications

RTX 3090 Specifications

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


nvidia quadro 5000 /6000 / 8000

The famous Turing™ chip architecture is reshaping the work of countless visual creators and designers. NVIDIA’s Quadro RTX series provides new AI-based performance, accelerated ray tracing, advanced shading, all of which allow artists to improve their rendering capabilities. Featuring 4608 CUDA® cores and 24 GB GDDR6 memory, this series supports elaborate visual designs, 8K video content, massive architectural datasets, and many more.

QUADRO RTX 5000 Specifications

QUADRO RTX 6000 Specifications

QUADRO RTX 8000 Specifications

Compatible with Linux, CUDA/OpenCL, KVM, Windows.


quadro rtx 4000

NVIDIA’S QUADRO RTX 4000 gives you access to outstanding performance and powerful features, all from a single PCI-e slot. The Turing™ chip architecture, combined with modern display characteristics and state-of-the-art technologies, delivers photorealistic single ray-traced rendering in no time. RT cores allow for this kind of advance in rendering, while the Tensor cores provide the ideal support for any deep learning applications. With this cost-effective solution, you can now create authentic VR experiences and enjoy faster performance when it comes to your AI projects.

QUADRO RTX 4000 Specifications

Compatible with Linux, CUDA/OpenCL, KVM, Windows.


nvidia A40 / A100

NVIDIA’s Ampere Architecture, Volta's successor, is the fundamental solution for AI acceleration. The NVIDIA A40 brings to the table powerful new features for virtual reality projects, ray-traced rendering, and more, with second-generation RT cores that perform 2X better, delivering more throughput than ever before. With 336 Tensor cores, AI applications will enjoy 5X more training capabilities, and the GDDR6 memory supports massive workloads, adequate for game developers, data scientists, graphic designers, and more. A groundbreaking leap for artificial intelligence, the NVIDIA A100 Tensor Core GPU provides unmatched acceleration at all scales, using NVIDIA's Multi-Instance GPU (MIG) technology. Third generation Tensor cores deliver 20X greater performance, and MIG enables multiple networks to run simultaneously on a single A100 GPU, maximizing computing power.

NVIDIA A100 Specifications

NVIDIA A40 Specifications


nvidia tesla t4

Choose NVIDIA’s Tesla T4 for multi-precision computing power, through its Tensor Core technology. The T4 is up to 40 times faster than a conventional CPU and up to 3.5 times faster than its Pascal predecessor. Transcode up to 38 full HD video streams simultaneously, when you pair a Tesla T4 with one of our HPE server configurations. *Results may vary, based on server configuration.


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

3D Rendering

Faster 3D graphics processing, allow you to increase productivity and revenue.


Run your CUDA and OpenCL applications at optimal performance by using the computing power of the GTX 1080.


Use the 2560 cores to mine your favorite cryptocurrency.


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.


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

NVIDIA GeForce RTX 2080 Ti

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

RTX 2080 TI Specifications

Compatible with Linux, CUDA/OpenCL, KVM.

NVIDIA GeForce GTX 1080

NVIDIA GeForce GTX 1080/1070 TI

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


Compatible with Linux, CUDA/OpenCL, KVM.



An optimal chip for machine learning and video transcoding, can be found in the NVIDIA Tesla P4 and P100 GPU’s. NVIDIA’s Pascal chip architecture has been proven to be faster and more power efficient than its Maxwell predecessor. Transcode up to 20 simultaneous video streams with a single Tesla P4 paired with our HPE BL460c blade server. * A more powerful version of the Tesla P4 is the Tesla P40, with more than twice the processing power of the Tesla P4. The Tesla P100 GPU, is most suitable for deep learning and remote graphics. With 18.7 TeraFLOPS of inference performance, a single Tesla P100 can replace over 25 CPU servers. *Results may vary, based on server configuration and video resolution of each stream.


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



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 replace up to 30 single CPU servers. Results may vary based on server configuration.


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.


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 runs through a series of tests to ensure full hardware compatibility and integration with your GPU of choice. Your services are backed by a 99.9% uptime SLA and are supported by a team of experts, available around the clock.

Step 1

1. Sign up

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

Yes, get my server
Step 2

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.

Step 3

3. Get started

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