Max AI performance with FP4 and DLSS 4. Optimized for neural shaders. Built for Mega Geometry
Graphics servers with RTX 5090
All graphics servers with RTX 5090 are equipped with two Intel Xeon Gold 4th Generation 6448Y CPUs, each featuring a base clock frequency of 3.0 GHz and a maximum clock frequency of 4.1 GHz with Turbo Boost technology.
Each processor contains two Intel® AVX-512 units and supports Intel® AVX-512 Deep Learning Boost functions. This set of instructions accelerates multiplication and addition operations with reduced accuracy, commonly used in many internal cycles of deep learning algorithms.
Each server is equipped with up to 8192 GB of DDR5 ECC Reg 4800 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 5090
Take your graphics performance to the next level with RTX 5090 graphics adapters. Each accelerator features 21,760 CUDA cores and 32 GB of GDDR7 memory.
Thanks to a new 5 nm manufacturing process, the Blackwell architecture chips contain 20% more transistors than previous generations.
Video memory capacity
32 GB
Type of video memory
GDDR7
Memory bandwidth
1796 GB/s
PCI Express Gen 5
yes
CUDA cores
21 760 pcs.
Ray tracing cores
4th generation
Tensor cores
5th generation
Encoder
3x9th generation
Decoder
2x6th generation
GPU performance benchmarks
Performance benchmarks results in a virtual environment for 1 RTX 5090 graphics card.
OctaneBench 2020
up to
TBD
pts
Matrix multiply example
TBD
GFlop/s
Hashcat bcrypt
TBD
H/s
Basic configurations with RTX 5090 32 GB
Prices:
Name
vCPU
RAM, MB
Disk, GB
GPU
Price, tariff
Price, hour
Price, month
↔
Custom configuration
Request for custom configuration
Please write us about the required configuration in the chat.
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.
IOPS — Input/Output Operations Per Second.
Answers to frequently asked questions
What is the minimum hosting period for a virtual GPU-server?
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.
Can I create GPU-servers myself?
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.
What operating systems can be installed on a virtual GPU-server?
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.
How to connect to a virtual GPU-server?
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.
Is it possible to rent a virtual GPU-server with an custom configuration?
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