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:
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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