GPU Rental

We offer a wide range of GPU rental services, which are ideal for, but naturally not limited to:

  • Scientific research & high-performance computing
  • Deep-learning & machine learning
  • Rendering 3D models and lengthy videos alike
Our Features
  • Top-grade Tesla GPUs: V100 32GB, V100 16GB, P100 16GB
  • High security due to Bare metal access. Only one customer reside on physical server with root access
  • High interconnectivity: 56GB/s Ethernet/Infinityband and NVLINK
  • Full performance due to no virtualization overheads
  • Per-second billing
  • We accept PayPal, Stripe, Bitcoin, Etherium payments
Get free trial to test performance
  1. Register new account
  2. Fill in a form to request trial access
Rent a GPU server for DeepLearning
  1. Register new account
  2. TopUp your balance
  3. Choose GPU server and start rental
Instantly Available Bare-metal GPU Servers
4x V100 16GB SXM (NVLINK) x16x16x16x16

2.83 USD/h

1xE5-2698RV4, Cores: 20/40, RAM: 128GB

Storage: SSD, 400Gb

Internet: 1Gbit shared

Id:1

Rent
4x V100 32GB SXM (NVLINK) x16x16x16x16

3.72 USD/h

2xE5-2698RV4, Cores: 40/80, RAM: 256GB

Storage: NVME, 1600Gb

Internet: 1Gbit shared

Id:9

Rent
4x P100 16GB SXM (NVLINK) x16x16x16x16

1.55 USD/h

1xE5-2698RV4, Cores: 20/40, RAM: 128GB

Storage: NVME, 1600Gb

Internet: 1Gbit shared

Id:10

Rent
4x V100 32GB SXM (NVLINK) x16x16x16x16

3.72 USD/h

2xE5-2698RV4, Cores: 40/80, RAM: 256GB

Storage: NVME, 1600Gb

Internet: 1Gbit shared

Id:11

Rent
1x V100 16GB x16

0.8 USD/h

2xE5-2696v2, Cores: 24/48, RAM: 128GB

Storage: SSD, 400Gb

Internet: 1Gbit shared

Id:20

Rent
Available by request GPU Servers and Cluster
20-100x P100 Cluster

13 USD/h

4x P100 16GB SXM (NVLINK)

E5-2698RV4, 64GB RAM, SSD400GB,

LAN Ethernet or Infinityband 40Gbit, Internet: 1Gbit shared or dedicated

For long-term or high resource volume rentals, for example, GPU rental, we provide manually preconfigured servers and clusters with specified image and hardware configurations. Our infrastructure includes one host Nodes with NVLINK (Up to 4 GPU in NVLINK), RDMA over Infinityband (up to 100gbps) with up to 30 Nodes in the network, NAS with up to 100TB space. We provide help in configuration of Hadoop Yarn GPU cluster for Bigdata processing or DeepSpeed distributed Deep Neural Network training

Request custom GPU Server or Cluster

Why even rent a GPU server for deep learning?

Deep learning is an ever-accelerating field of machine learning. Major companies like Google, Microsoft, Facebook, and others are now developing their deep learning frameworks with constantly rising complexity and computational size of tasks which are highly optimized for parallel execution on multiple GPU and even multiple GPU servers . So even the most advanced CPU servers are no longer capable of making the critical computation, and this is where GPU server and cluster renting comes in.

Modern Neural Network training, finetuning and 3D rendering calculations usually have different possibilities for parallelisation and may require for processing a GPU cluster (horisontal scailing) or most powerfull single GPU server (vertical scailing) and sometime both in complex projects. Rental services allow you to concentrate on your functional scope more instead of managing datacenter, upgrading infra to latest hardware, monitoring of power infra, telecom lines, server health and so on.

Why are GPUs faster than CPUs anyway?

A typical central processing unit, or a CPU, is a versatile device, capable of handling many different tasks with limited parallelism using tens of CPU cores. A graphical processing unit, or a GPU, is designed with a specific goal in mind — to render graphics as fast as possible, which means doing a lot of floating point computations with huge parallelism using thousands of tiny GPU cores. That is why, thanks to a deliberately large amount of specialized and sophisticated optimizations, GPUs tend to run faster than traditional CPUs for specific tasks like Matrix multiplication that is a base task for Deep Learning or 3D Rendering.

It is clear, that the use of GPU and GPU clusters, is way greater efficient for such computationally-dense activities as deep learning, and any researcher or a deep mastering expert then has a preference — they may want to buy a set of high-performance GPUs, or they may want to rent a GPU, achieving out for an on-demand GPU carrier like ours.

Hardware

We provide our clients with scalable on-demand services, ready for production in just 15 minutes. The GPUs built into our machines are Nvidia’s GTX 1080ti, Tesla K80, Tesla P100 &Tesla V100. Characteristically, this is where our hardware stands:

  • Video random access memory (VRAM) ranging from 11 to 32 GB
  • Memory bandwidth connection speed reaching 900 GB/sec on certain GPUs
  • Half-precision performance topping at 31.4 flops on our V100-powered machines.

Privacy

As a matter of our corporate policy, we give our clients direct, fully protected access to our servers. There are only one port active for server access for SSH. Servers themselves are bare-metal, meaning they are not virtual and are not shared between clients. In this way, we ensure maximum performance and complete confidentiality of your computational needs. A number of our servers also have an NVME disk installed that allows for a hardware-level Secure Erase operation, ensuring an even higher level of privacy and security.

Software

Efficient direct access can be given to the rented server, without any unnecessary visualization interfaces. Since that, you're free to install whichever software suits your professional needs. At the same time, our servers have pre-installed software for working with deep learning workloads. The default OS on our machines is custom Linux image-based Ubuntu 18.04.1, which we specially tweaked to cater to the needs of our users. We also reset every machine to its default after a client finishes their work, so individual sessions don’t affect each other in any way.

Rent GPU price

Our pricing is flexible, with multiple paying options, including PayPal, Stripe, Bitcoin and Ethereum. We also offer up to per-second rental billing, not to mention that our prices are the lowest on the market. If you are still not sure whether our services fit your goals, you request a free trial for any GPU rental service we offer.