Graphics servers with RTX A5000
All graphics servers with RTX A5000 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.
GPU RTX A5000
Innovate with the RTX A5000 GPU. The perfect balance of power, performance and reliability to solve complex tasks. The GPU is built on the basis of the latest Ampere architecture and has 24 GB of video memory — everything so that designers, engineers and artists can realize their vision of the future today.
| Video memory capacity |
24 GB |
| Type of video memory |
GDDR6 (ECC) |
| Memory bandwidth |
768 Gb/s |
| Encode/decode |
1 encoder, 2 decoder (+AV1 decode) |
GPU performance benchmarks
Performance benchmarks results in a virtual environment for 1 RTX A5000 graphics card.
-
OctaneBench 2020
pts
-
Matrix multiply example
GFlop/s
-
Hashcat bcrypt
H/s
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.
Pre-installed images
Create virtual machines based on any of the pre-installed operating systems with the necessary set of additional software.
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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