Choosing our public cloud services you get acces to powerful tool, utilizing state-of-the-art open-source technologies, such as OpenStack for cloud software and CEPH for object storage. Our public cloud enables your processing chains with high-performance, scalable, elastic integrated computing instances. Various billing models allow you to choose the most cost-effective solutions, according to your needs.
Additionally, we offer solutions tailored to users' particular needs. If you are interested in the help of our sales team, contact us. Experienced staff will assist you in the process of shaping service that would meet all your requirements.
- Special offers for long contracts, 1 year or more.
- Up to 18% discount for universities and scientific institutes
- We may support you in applying to a variety of funding programs (such as Horizon 2020)
- Free access to Earth Observation data on some of our platforms
If you are interested in our offer for big data storage for longer periods or have other unusual requirements, contact us. Our dedicated team will prepare tailored solution just for you.
|Virtual Machines||Pay per use||Monthly||Half yearly||Yearly|
|Available VMs||#vCPU||RAM (GB)||SSD Network Storage (GB)||per hour||per month||per month||per month|
|ArcGIS.ds.large.gpu**||40 (20 cores)||118||2 x 1000 (local)||-||1 533,75||993,92||614,98|
* All Software ready Cloud Servers are available only with Windows Server Standard in bundle with preconfigured Esri ArcGIS Pro Desktop.
** Arc.GIS.ds and large.gpu are equipped with GeForce RTX 2080 Ti
|Dedicated Servers*||Pay per use||Monthly||Half yearly||Yearly|
|Available DSs||#vCores||RAM (GB)||SSD NVMe Local Storage (GB)||per hour||per month||per month||per month|
|ds.medium||40 (20 cores)||48||2 x 500||1,618||689,99||429,79||244,86|
|ds.large||40 (20 cores)||112||2x 1000||1,965||837,45||519,53||294,21|
|ds.2xlarge||40 (20 cores)||368||2x 1920||2,968||1 266,00||787,50||450,00|
|ds.3xlarge||48 (24 cores)||496||2x 1920||3,641||1 552,96||966,00||697,00|
|ds.large.gpu**||40 (20 cores)||112||2x 1000||3,286||2107,00||1290,00||860,00|
|ds.large.gpu(old)***||40 (20 cores)||118||2x 1000||3,242||2 101,12||860,92||481,98|
|ds.3xlarge.4gpu****||48 (24 cores)||496||2x 1920||10,974||6 321,00||3 870,00||2 580,00|
* If the above configurations do not fit your project, please contact our sales team (email@example.com) to design a custom solution.
** ds.large.gpu is equipped with GeForce RTX 2080 Ti (4352 CUDA Cores, 11GB GDDR6)
*** ds.large.gpu(old) previous ds.gpu configuration with GeForce GTX 1080 Ti and is still supported.
**** ds.3xlarge.4gpu is equipped in four GeForce RTX 2080 Ti (4352 CUDA Cores, 11GB GDDR6)
Virtual Machines (VMs) are fully functional computational instances. They operate as if they were real physical entities with all the elements of a physical server. A user obtains his VM with full root access. He can fully manage it and install any software he has and needs.
In the EO Cloud Users can use Virtual Machines (VMs) by defining their different parameters and characteristics, including machine type (physical or virtual), RAM, CPU (vCores), Storage quantity and type, Operating System, middleware components, Virtual Networks connected to the machine.
Users determine the characteristics of a newly provisioned VM by selecting its Flavour and base image. Currently available flavours are presented in the following table:
|Available VMs||#vCores||RAM (GB)||SSD Network Storage (GB)|
|ArcGIS.ds.large||40 (20 cores)||112||2 x 1000 (local NVMe)|
* Servers with preinstalled software are available only under Windows Server Standard and preconfigured Esri ArcGIS Pro.
The list of currently available operating system images is present below:
- CentOS 6, 7
- Ubuntu 14.04 LTS, 16.04 LTS, 18.04 LTS
- Windows 2016 mini / full
- RHEL 6,7 mini / full
- SLES 12 mini / full
- OSGeo 11.0
- App Catalog Image
All the VMs come fully configured (based on the image selected) and ready-for-use, with an administrative User account, network access, preconfigured toolboxes and software components. Volume Storage may be attached to running VM-s to extend the storage space available. VMs can be started, stopped, rebooted, paused, suspended and snapshotted. Live backup functionality is also available, including server quiescing. VMs may also be attached to Virtual Networks. Virtual Networks may be system-defined or User-defined.
System defined networks include:
- Internet network used to access the global internet
- the EO storage network available in Projects/Environment that are allowed access to EO Storage
Users may utilize VM-s and other cloud Resources using the EO Cloud Dashboard, the REST API, a command line client or the Openstack Orchestration scripts (Heat). VMs can be connected to the network using virtual interfaces.
The VMs can be billed in monthly or longer quanta (Fixed Term Mode) or can be billed per hours of usage (Per Usage Mode). Users may also temporarily shelve their VMs based on persistent storage, paying only for the persistent storage space they occupy
Figure 3 - Cloud Dashboard - Instances
Dedicated Server Virtual Machine
DSs are special VMs. Each DS is a virtual machine that fills the full computing machine (hypervisor server). There are no other VMs in this server. So a User of an DS has a full physical server for his own use. Additionally SVMs are equipped with very efficient SSD disks installed in pass through mode. This way full capacity and speed of those disks can be utilized. DSs are a perfect solution for everybody who wants to have efficiency and independence of Baremetal Servers but simultaneously wants to utilize all the elements of the OpenStack cloud platform. For details – see DS flavour table below.
|Available DS||#vCores||RAM (GB)||SSD NVMe Local Storage (GB)|
|ds.medium||40 (20 cores)||48||2 x 500|
|ds.large||40 (20 cores)||112||2x 1000|
|ds.2xlarge||40 (20 cores)||368||2x 1920|
|ds.3xlarge||48 (24 cores)||496||2x 1920|
|ds.large.gpu**||40 (20 cores)||112||2x 1000|
* If the above configurations do not fir your needs, please contact us, our team will forge a custom offer. .
** ds.large.gpu is equipped with GeForce GTX 2080 Ti (4352 CUDA Cores, 11GB GDDR6)
The DSs are billed in exactly the same way as standard VMs