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Cloud

All resources are billed hourly on a monthly basis. Individual volume contracts are also possible for larger environments.

More information about our flavors

For a better cost estimate, we provide a cloud price calculator.

Virtual machines

Virtual machines are available in different variants.

User-defined variants for specific workloads can be used and are calculated by adding the individual resources.

General Purpose

GPU Accelerated

Performance Optimized

Dedicated

name	vcpu	ram	disk	hour	month
s1.small	2	2.048	25	0.01997	14.38
s1.medium	4	4.096	50	0.03994	28.76
s1.large	6	8.192	75	0.06727	48.43
s1.xlarge	8	16.384	100	0.10932	78.71
s1.xxlarge	12	32.768	150	0.19342	139.26
s1.xxxlarge	16	65.536	200	0.3364	242.21

name	vcpu	ram	disk	hour	month
s2.small	2	2.048	50	0.02617	18.84
s2.medium	4	4.096	100	0.05234	37.68
s2.large	6	8.192	150	0.08587	61.83
s2.xlarge	8	16.384	200	0.13412	96.57
s2.xxlarge	12	32.768	300	0.23062	166.05
s2.xxxlarge	16	65.536	500	0.4066	292.75

name	vcpu	ram	disk	hour	month
g1.large	4	16.384	200	0.9482	682.7
g1.xlarge	8	32.768	350	1.0487	755.06
g1.xxlarge	16	65.536	500	1.2251	882.07
g2.large	4	16.384	200	1.1782	848.3
g2.xlarge	8	32.768	350	1.2787	920.66
g2.xxlarge	16	65.536	500	1.4551	1047.67
g3.xxlarge	32	32.768	400	2.380227	1713.76

name	vcpu	ram	disk	hour	month
p1.small	2	4.096	25	0.03103	22.34
p1.medium	4	8.192	50	0.06206	44.68
p1.large	8	16.384	100	0.12412	89.37
p1.xlarge	16	32.768	200	0.24824	178.73
p1.xxlarge	32	65.536	400	0.49648	357.47
p1.xxxlarge	64	131.072	800	0.99296	714.93

name	vcpu	ram	disk	hour	month
d1.small	2	8.192	125	0.10258	73.86
d1.medium	4	16.384	250	0.20516	147.72
d1.large	8	32.768	500	0.41032	295.43
d1.xlarge	16	65.536	1.000	0.82064	590.86
d1.xxlarge	32	131.072	2.000	1.64128	1181.72

Compute

The CPU is billed per core, GPU g1 (NVIDIA A10), GPU g2 (NVIDIA A40), GPU g3 (NVIDIA RTX Pro 6000) per unit and memory per GB of allocated RAM.

General Purpose

GPU Accelerated

Performance Optimized

Dedicated

resource	description	hour	month
cpu_s1	vCPU (s1)	0.004255	3.06
ram_s1	RAM (s1), per GB	0.003680	2.65
cpu_s2	vCPU (s2)	0.004255	3.06
ram_s2	RAM (s2), per GB	0.003680	2.65

resource	description	hour	month
gpu_g1	GPU g1, per unit	0.839500	604.44
gpu_g2	GPU g2, per unit	1.069500	770.04
cpu_g1	vCPU (g1)	0.004255	3.06
ram_g1	RAM (g1), per GB	0.003680	2.65
cpu_g2	vCPU (g2)	0.004255	3.06
ram_g2	RAM (g2), per GB	0.003680	2.65
cpu_g3	vCPU (g3)	0.004715	3.39
ram_g3	RAM (g3), per GB	0.004025	2.9
gpu_g3	GPU g3, per unit	2.008547	1446.15

resource	description	hour	month
cpu_p1	vCPU (p1)	0.004715	3.39
ram_p1	RAM (p1), per GB	0.004025	2.9

resource	description	hour	month
cpu_d1	vCPU (d1)	0.020815	14.99
ram_d1	RAM (d1), per GB	0.004025	2.9

Storage

Block devices (local SSD/NVMe, volumes) can be attached to VMs and are billed per GB provided.

Object Storage (Swift or S3) is actually used per GB.

Snapshots of virtual machines or user-defined images are billed per GB used.

Storage

General Purpose

Performance Optimized

resource	description	hour	month
ephemeral	Local SSD, per GB	0.000164	0.12
s3	Object Storage (S3/Swift), per GB	0.000164	0.12
snapshot	Snapshot, per GB	0.000055	0.04
image	Image, per GB	0.000164	0.12
secret	Secret, per unit	0.000556	0.4
backup	Volume (Backup Used), per GB	0.000112	0.08

resource	description	hour	month
ephemeral_s1	Local NVME/SSD (s1), per GB	0.000164	0.12
ephemeral_s2	Local NVME/SSD (s2), per GB	0.000206	0.15
volume_general_purpose_1	Volume General Purpose 1, per GB	0.000164	0.12
volume_general_purpose_2	Volume General Purpose 2, per GB	0.000206	0.15

resource	description	hour	month
ephemeral_p1	Local NVME (p1), per GB	0.000220	0.16
ephemeral_d1	Local NVME (d1), per GB	0.000230	0.17
volume_performance_optimized_1	Volume Performance Optimized 1, per GB	0.000220	0.16
volume_performance_optimized_2	Volume Performance Optimized 2, per GB	0.000230	0.17

Network

Traffic billing is based on samples leaving or reaching our edge network devices. Traffic between virtual machines and availability zones is free of charge.

Network elements are billed per started or configured unit.

resource	description	hour	month
traffic	Traffic, ingress and egress on our edge network devices per GB	0.060000	43.2
loadbalancer	Loadbalancer, per unit	0.031945	23
security_group	Security Groups, per unit	0.003673	2.64
vpn	VPN, Endpoint per unit	0.039937	28.75
floatingip	Floating IP, per IP	0.010382	7.48
vpc_gateway	VPC-Gateway, per unit	0.003195	2.3

Air-Gapped Backup

Air-gapped backups are charged per GB per execution.

month	resource	description	each
7.2	air_gapped_backup_q1	Air-gapped Backup 3 months, per GB	0.010000
14.4	air_gapped_backup_q2	Air-gapped Backup 6 months, per GB	0.020000
21.6	air_gapped_backup_q4	Air-gapped Backup 12 months, per GB	0.030000

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Kubernetes

Pricing for Kubernetes clusters is based on the actual usage of the underlying computing resources. Details can be found in the tables above. Additional costs for storage (e.g. S3 or Persistent Volume Claims), load balancers and data traffic may apply dynamically depending on usage.

For a better cost estimate, we provide a Kubernetes price calculator.

SaaS

Basic

Advanced

Premium

name	plan	month
Icinga 2 Master	Basic	29.99
Icinga 2 Satellite	Basic	9.99
Gitlab CE	Basic	49.99
Gitlab EE	Basic	89.99
Prometheus	Basic	29.99
Nextcloud	Basic	5.99

name	plan	month
Icinga 2 Master	Advanced	49.99
Icinga 2 Satellite	Advanced	19.99
Gitlab CE	Advanced	99.99
Gitlab EE	Advanced	149.99
Prometheus	Advanced	49.99
Nextcloud	Advanced	24.99

name	plan	month
Icinga 2 Master	Premium	99.99
Icinga 2 Satellite	Premium	29.99
Gitlab CE	Premium	149.99
Gitlab EE	Premium	199.99
Prometheus	Premium	89.99
Nextcloud	Premium	99.99
AI-Models	Premium	0

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AI

Our Managed AI Model is billed via input and output tokens.

wdt_ID	Ressource	Art	Beschreibung	Preis
14	GPT-OSS-120b	Input	per 1 Mio. Token	0,20 €
15	GPT-OSS-120b	Output	per 1 Mio. Token	0,70 €

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Prices MyEngineer®

Our MyEngineer® is on hand to help and advise you.
We will be happy to provide you with a quote tailored to you and your requirements on request.
Contact us now for your individual quote!

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Cloud

Virtual machines

Compute

Storage

Network

Air-Gapped Backup

Kubernetes

SaaS

AI

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