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Compute

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. 

Billing models:

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Computing instances:

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  • Virtual Machines (VM)
  • Virtual Machines with local storage (VM.local)
  • Dedicated server virtual machines (DS)

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

  • 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
eo1
eo1.xsmall 1 1 8 0,018 12,46 11,16 8,50
eo1.small 2 2 16 0,036 24,91 22,25 17,03
eo1.xmedium 1 2 8 0,025 16,85 15,05 11,52
eo1.medium 2 4 16 0,049 33,70 30,10 23,03
eo1.large 4 8 32 0,098 67,32 60,26 46,07
eo2
eo2.medium 1 4 16 0,042 25,79 22,45 18,72
eo2.large 2 8 32 0,084 51,57 44,90 37,44
eo2.xlarge 4 16 64 0,169 103,15 89,80 74,88
eo2.2xlarge 8 32 128 0,337 206,30 179,60 150,48
eo2a
eo2a.medium 1 4 16 0,046 31,28 28,02 21,34
eo2a.large 2 8 32 0,093 62,55 56,03 42,67
eo2a.xlarge 4 16 64 0,186 125,10 112,06 85,34
eo2a.2xlarge 8 32 128 0,372 250,20 224,12 170,68
eo2a.3xlarge 16 64 256 0,744 500,40 448,24 341,36
eo2a.4xlarge 32 128 512 1,489 1000,80 896,48 682,72
eo2a.5xlarge 64 234 1024 2,97910 2001,60 1792,96 1365,44
hm
hm.medium 2 16 64 0,114 70,04 60,98 43,92
hm.large 4 32 128 0,229 140,09 121,96 87,12
hm.xlarge 8 64 256 0,458 280,18 243,92 174,96
hm.2xlarge 16 128 384 0,900 551,02 479,72 343,44
hm.3xlarge 32 256 384 1,80 1102,04 959,44 686,88
hm.4xlarge 64 256 384 3,6 2204,08 1918,88 1373,76
gpu
gpu.medium** 12 118 128 2,743 1 580,25 967,50 716,67
Software ready*
ArcGIS.eo2.xlarge 4 16 64 - 129,75 116,40 101,48
ArcGIS.eo2.2xlarge 8 32 128 - 259,50 232,80 203,68
ArcGIS.hm.xlarge 8 64 256 - 333,38 297,12 228,16
ArcGIS.hm.2xlarge 16 128 384 - 657,32 586,12 449,84
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
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 (sales@creodias.eu) 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

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:

 
Virtual Machines
Available VMs #vCores RAM (GB) SSD Network Storage (GB)
eo1
eo1.xsmall 1 1 8
eo1.small 2 2 16
eo1.xmedium 1 2 8
eo1.medium 2 4 16
eo1.large 4 8 32
eo2
eo2.medium 1 4 16
eo2.large 2 8 32
eo2.xlarge 4 16 64
eo2.2xlarge 8 32 128
eo2a
eo2a.medium 1 4 16
eo2a.large 2 8 32
eo2a.xlarge 4 16 64
eo2a.2xlarge 8 32 128
eo2a.3xlarge 16 64 256
eo2a.4xlarge 32 128 512
eo2a.5xlarge 64 236 1024
hm
hm.medium 2 16 64
hm.large 4 32 128
hm.xlarge 8 64 256
hm.2xlarge 16 128 384
hm.3xlarge 32 256 384
hm.4xlarge 64 484 384
Software ready*
ArcGIS.eo2.xlarge 4 16 64
ArcGIS.eo2.2xlarge 8 32 128
ArcGIS.hm.xlarge 8 64 256
ArcGIS.hm.2xlarge 16 128 384
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

Provisioning

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.

Billing

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

.

 

Loud Dashboard - Instances


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.

 

Dedicated Servers*
Available DS #vCores RAM (GB) SSD NVMe Local Storage (GB)
ds
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)

Billing

The DSs are billed in exactly the same way as standard VMs

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CloudFerro sp. z o.o.

Siedziba główna: Nowogrodzka 31, 00-511 Warszawa
Biuro handlowe: Fabryczna 5A, 00-446 Warszawa
Telefon: +48 22 354 65 73 E-mail: biuro@cloudferro.com
KRS: 0000543630
NIP: 7010468205
Regon: 36081846300000
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CloudFerro sp. z o.o.

Siedziba główna: Nowogrodzka 31, 00-511 Warszawa
Biuro handlowe: Fabryczna 5A, 00-446 Warszawa
Telefon: +48 22 354 65 73 E-mail: biuro@cloudferro.com
KRS: 0000543630
NIP: 7010468205
Regon: 36081846300000