Cloud servers with 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 2nd generation 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 up to 3072 GB of DDR4 ECC Reg 2993 MHz RAM. Local storage with a total capacity of 1920 GB is organized on Intel® solid-state drives, designed specifically for data centers.

GPU RTX™ 3090

Go to a completely new level when working with graphics—use 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
Memory bandwidth 936 GB/s
PCI Express Gen 4 yes
CUDA cores 10496 pcs.
Ray tracing cores 2nd generation
Tensor cores 3rd generation
Encoder 7th generation
Decoder 5th generation

GPU performance benchmarks

Performance benchmarks results in a virtual environment for 1 RTX 3090 graphics card.
  • OctaneBench 2020

    up to
    690
    pts
  • Matrix multiply example

    2490
    GFlop/s
  • Hashcat bcrypt

    92 700
    H/s

Basic configurations with RTX™ 3090 24 GB

Prices:
Name vCPU RAM, MB Disk, GB GPU Price, hour
rtx3090-1.8.16.40 8 16384 40 1 $0.80 Launch
rtx3090-1.8.16.50 8 16384 50 1 $0.80 Launch
rtx3090-1.8.16.60 8 16384 60 1 $0.80 Launch
rtx3090-1.8.16.80 8 16384 80 1 $0.81 Launch
rtx3090-1.8.16.120 8 16384 120 1 $0.81 Launch
rtx3090-1.8.16.160 8 16384 160 1 $0.81 Launch
rtx3090-1.8.32.160 8 32768 160 1 $0.85 Launch
rtx3090-1.8.128.60 8 131072 60 1 $1.02 Launch
rtx3090-1.16.64.160 16 65536 160 1 $0.96 Launch
rtx3090-1.16.96.160 16 98304 160 1 $1.02 Launch
rtx3090-1.32.64.160 32 65536 160 1 $1.06 Launch
rtx3090-1.32.128.160 32 131072 160 1 $1.18 Launch
rtx3090-1.44.256.160 44 262144 160 1 $1.51 Launch
rtx3090-2.16.64.160 16 65536 160 2 $1.67 Launch
rtx3090-2.16.128.160 16 131072 160 2 $1.80 Launch
rtx3090-2.32.64.160 32 65536 160 2 $1.77 Launch
rtx3090-3.16.96.160 16 98304 160 3 $2.45 Launch
rtx3090-4.8.96.160 8 98304 160 4 $3.11 Launch
rtx3090-4.8.128.160 8 131072 160 4 $3.18 Launch
rtx3090-4.16.32.160 16 32768 160 4 $3.04 Launch
rtx3090-4.16.64.160 16 65536 160 4 $3.10 Launch
rtx3090-4.16.128.160 16 131072 160 4 $3.23 Launch
rtx3090-4.16.192.160 16 196608 160 4 $3.35 Launch
rtx3090-4.24.128.160 24 131072 160 4 $3.28 Launch
rtx3090-4.44.256.160 44 262144 160 4 $3.65 Launch

100% Performance

Each physical core or GPU adapter is dedicated to a single client.
This means:

  • 100% vCPU time is available;
  • Physical pass-through of GPUs inside virtual servers;
  • Reduced storage and network load on hypervisors, delivering more storage and network performance to clients.

Up to 75,000 IOPS1 for RANDOM READ and up to 20,000 IOPS for RANDOM WRITE on Virtual Servers with local SSDs

Up to 70 000 IOPS1 for RANDOM READ and up to 60 000 IOPS for RANDOM WRITE on Virtual Servers with block storage volumes

You can be confident that Virtual Servers do not share vCPU or GPU resources with one another.

  1. IOPS — Input/Output Operations Per Second.

Answers to frequently asked questions

You can host a virtual server for any duration. Simply make a payment starting from 1.1 $ and work within the prepaid balance. When you're finished, delete the server to stop incurring charges.

Yes, you can create GPU-servers through the control panel by choosing the hardware configuration and operating system. The ordered resources will be available for use within a few minutes.

If something goes wrong, contact our tech support. We are available 24/7: https://t.me/immerscloudsupport.

You can choose from the following basic images: Windows Server 2019, Windows Server 2022, Ubuntu, Debian, CentOS, Fedora, and OpenSUSE, or use a pre-configured image from the Marketplace.

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

By default, we provide RDP access for Windows-based servers and SSH access for Linux-based servers.

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

Yes, it is possible. Contact our 24/7 support service (at https://t.me/immerscloudsupport} and tell us your desired configuration.

A Bit More About Us

  • Pay-as-you-go billing

    and free VM pause (shelve). You only pay for the actual use of your VMs
  • 24/7/365 Tech Support

    Tech support is always available via chat and responds within minutes

  • Free traffic

    Speeds up to 20 Gb/s with no extra charge for incoming or outgoing traffic

  • Our Data Centers

    Built to TIER III standards
  • 100% of power is yours

    We do not share resources you purchased with other users
  • 20 000+

    Users trust us with their data and tasks
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Ready-made OS images with the required software

Create virtual servers by utilizing our pre-configured OS images with either Windows or Linux, along with specialized pre-installed software.
  • Ubuntu
     
  • Debian
     
  • CentOS
     
  • Fedora
     
  • OpenSUSE
     
  • MS Windows Server
     
  • 3ds Max
     
  • Cinema 4D
     
  • Corona
     
  • Deadline
     
  • Blender
     
  • Archicad
     
  • Ubuntu
    Graphics drivers, CUDA, cuDNN
  • MS Windows Server
    Graphics drivers, CUDA, cuDNN
  • Nginx
     
  • Apache
     
  • Git
     
  • Jupyter
     
  • Django
     
  • MySQL
     
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"}]}}'
STOP ninja_vm example: $ curl -g -i -X POST https://api.immers.cloud:8774/v2.1/servers/{server_id}/action \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "User-Agent: YOUR-USER-AGENT" \
-H "X-Auth-Token: YOUR-API-TOKEN" \
-d '{"os-stop" : null}'
START ninja_vm example: $ curl -g -i -X POST https://api.immers.cloud:8774/v2.1/servers/{server_id}/action \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "User-Agent: YOUR-USER-AGENT" \
-H "X-Auth-Token: YOUR-API-TOKEN" \
-d '{"os-start" : null}'
SHELVE ninja_vm example: $ curl -g -i -X POST https://api.immers.cloud:8774/v2.1/servers/{server_id}/action \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "User-Agent: YOUR-USER-AGENT" \
-H "X-Auth-Token: YOUR-API-TOKEN" \
-d '{"shelve" : null}'
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"
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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