Cloud servers with NVIDIA RTX 3090

The incredible power of the new Ampere-family graphics cards with double the performance of ray tracing and artificial intelligence technologies

Graphics servers with RTX™ 3090

All graphics servers with RTX 3090 are based on two Intel® Xeon® Gold 6240R CPUs with a base clock speed of 2.4 GHz and a maximum clock speed with Turbo Boost technology of 4.0 GHz.

Each processor contains two Intel® AVX-512 units and supports Intel® AVX-512 Deep Learning Boost functions. This set of instructions speeds up multiplication and addition operations with reduced accuracy, which are used in many internal cycles of the deep learning algorithm.

Each server has 512 GB of DDR4 ECC Reg 2933 MHz RAM. Local storage with a total capacity of 1920 GB is organized on Intel® solid-state drives, designed specifically for data centers.

NVIDIA® RTX™ 3090

Go to a completely new level when working with graphics—use NVIDIA RTX 3090 graphics adapters. Each accelerator has 328 tensor cores, 10496 CUDA cores, and 24 GB of GDDR6X memory.

The new Ampere architecture allowed to increase the speed of tensor cores by 2 times and significantly increase the speed of CUDA cores.

Due to a new technological process—8 nm, Ampere chips have a smaller area and increased energy efficiency.

Video memory capacity 24 GB
Type of video memory GDDR6X
PCI Express Gen 4 yes
NVIDIA CUDA cores 10496 pcs.
Ray tracing cores 2nd generation
Tensor cores 3rd generation
NVIDIA Encoder 7th generation
NVIDIA Decoder 5th generation

Basic configurations with NVIDIA® RTX™ 3090 24 GB

Name vCPU RAM, MB Disk, GB GPU Price, hour
rtx3090-1.8.16.40 8 16384 40 1 Launch
rtx3090-1.8.16.60 8 16384 60 1 Launch
rtx3090-1.8.16.80 8 16384 80 1 Launch
rtx3090-1.8.16.120 8 16384 120 1 Launch
rtx3090-1.8.16.160 8 16384 160 1 Launch
rtx3090-1.8.32.160 8 32768 160 1 Launch
rtx3090-1.8.128.60 8 131072 60 1 Launch
rtx3090-2.16.64.160 16 65536 160 2 Launch
rtx3090-3.16.96.160 16 98304 160 3 Launch
rtx3090-4.8.32.40 8 32768 40 4 Launch
rtx3090-4.8.96.160 8 98304 160 4 Launch
rtx3090-4.8.128.160 8 131072 160 4 Launch
rtx3090-4.16.32.160 16 32768 160 4 Launch
rtx3090-4.16.64.160 16 65536 160 4 Launch
rtx3090-4.16.128.160 16 131072 160 4 Launch
rtx3090-4.24.128.160 24 131072 160 4 Launch
rtx3090-4.44.256.160 44 262144 160 4 Launch

100% performance

Each physical core or GPU adapter assigned only to a single client.
It means that:

  • Available vCPU time is 100%
  • Physical pass through of GPU inside a VM
  • Less storage and network load on hypervisors, more storage and network performance for a client.

Up to 75 000 IOPS1 for the RANDOM READ and up to 20 000 IOPS for the RANDOM WRITE for the Virtual Machines with local SSDs.

Up to 22 500 IOPS1 for the RANDOM READ and up to 20 000 IOPS for the RANDOM WRITE for the Virtual Machines with block storage Volumes.

You can be sure that Virtual Machines are not sharing vCPU or GPU among each other.

  1. IOPS — Input/Output Operations Per Second.

Answers to frequently asked questions

What is the minimum rental period for a virtual GPU-server?

You can rent a virtual server for any period. Make a payment for any amount from 1.3 $ and work within the prepaid balance. When the work is completed, delete the server to stop spending money.

How quickly can I get started with a virtual GPU-server?

You create GPU-servers yourself in the control panel, choosing the hardware configuration and operating system. As a rule, the ordered capacities are available for use within a few minutes.

If something went wrong-write to our round-the-clock support service: https://t.me/immerscloudsupport.

What operating systems can be installed on a virtual GPU-server?

You can choose from basic images: Windows Server 2019, Ubuntu, Debian, CentOS, Fedora, OpenSUSE. Or use a pre-configured image from the Marketplace.

All operating systems are installed automatically when the GPU-server is created.

How to connect to a virtual GPU-server?

By default, we provide connection to Windows-based servers via RDP, and for Linux-based servers-via SSH.

You can configure any connection method that is convenient for you yourself.

Is it possible to rent a virtual GPU-server with an custom configuration?

Yes, it is possible. Contact our round-the-clock support service (https://t.me/immerscloudsupport) and tell us what configuration you need.

Why immers.cloud?

  • Cheapest GPU rates

    Find cheaper — get a discount!
  • Second
    billing

    Use virtual machines just as much, as needed.

  • No
    waiting

    Automatic OS installation. Virtual machines are ready in a few minutes.
  • Free
    Internet

    Up to 1 Gb/s incoming and outgoing traffic for free.
  • Round-the-clock
    support

    Live chat and Telegram support — 24/7.
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Pre-installed images

Create virtual machines based on any of the pre-installed operating systems with the necessary set of additional software.
  • Ubuntu
     
  • Debian
     
  • CentOS
     
  • Fedora
     
  • OpenSUSE
     
  • MS Windows Server
     
  • Ubuntu
    NVIDIA drivers, CUDA, cuDNN
  • MS Windows Server
    NVIDIA drivers
View all the pre-installed images in the Marketplace.

Pure OpenStack API

Developers and system administrators can manage the cloud using the full OpenStack API.
Authenticate ninja_user example: $ curl -g -i -X POST https://api.immers.cloud:5000/v3/auth/tokens \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "User-Agent: YOUR-USER-AGENT" \
-d '{"auth": {"identity": {"methods": ["password"], "password": {"user": { "name": "ninja_user", "password": "ninja_password", "domain": {"id": "default"}}}}, "scope": {"project": {"name": "ninja_user", "domain": {"id": "default"}}}}}'
Create ninja_vm example: $ curl -g -i -X POST https://api.immers.cloud:8774/v2.1/servers \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "User-Agent: YOUR-USER-AGENT" \
-H "X-Auth-Token: YOUR-API-TOKEN" \
-d '{"server": {"name": "ninja_vm", "imageRef": "8b85e210-d2c8-490a-a0ba-dc17183c0223", "key_name": "mykey01", "flavorRef": "8f9a148d-b258-42f7-bcc2-32581d86e1f1", "max_count": 1, "min_count": 1, "networks": [{"uuid": "cc5f6f4a-2c44-44a4-af9a-f8534e34d2b7"}]}}'
Delete ninja_vm example: $ curl -g -i -X DELETE https://api.immers.cloud:8774/v2.1/servers/{server_id} \
-H "User-Agent: YOUR-USER-AGENT" \
-H "X-Auth-Token: YOUR-API-TOKEN"
Create ninja_network example: $ curl -g -i -X POST https://api.immers.cloud:9696/v2.0/networks \
-H "Content-Type: application/json" \
-H "User-Agent: YOUR-USER-AGENT" \
-H "X-Auth-Token: YOUR-API-TOKEN" \
-d '{"network": {"name": "ninja_net", "admin_state_up": true, "router:external": false}}'
Documentation
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Any questions?

Write to us via live chat, email, or call by phone:
@immerscloudsupport
support@immers.cloud
+7 499 110-44-94

Any questions?

Write to us via live chat, email, or call by phone:
@immerscloudsupport support@immers.cloud +7 499 110-44-94
Sign up

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