# Price examples

We know, the complexity of flexible cloud prices is demanding. Bare with us, because the flexibility opens opportunities.

Below are a few examples to guide you on a pricing direction. Head over to our pricing calculator to estimate the cost for your specific scientific environment, and to not hesitate to contact us for assistance in your estimations.

For the record, all prices in the examples are listed as VAT exclusive NOK from the price list. The prices are provided for guidance and may contain both errors and outdated information.

# Individual labs

Let's start with a few examples of crude prices for individual labs configured for common experiments. Depending on your data space subscription and cost optimization techniques, the listed prices may be reduced.

# Epidemiology

Let's assume you need a lab to store and work with structured data, such as health registries and health study data using software such as RStudio or Stata in a small team.

Service Description Type Cost/unit Units Total cost
Data space WHITE 1 year 0 1 0
Lab 1 year 5785 1 5785
Compute default.b2 1 year 4646 1 4646
Store 1 terabyte 1 year 2331 1 2331
PER YEAR 12762

The above example gives you a free data space subscription, the lab subscription, one machine sufficient for regular epidemiology, the minimum storage allocation and the ability to bring software licenses for your analytical tools from your host organization into your lab. The compute cost may be slightly reduced if a smaller machine type is sufficient (default.b1).

# Genomics

Next up is a typical lab for genomics analysis. Let's assume you need a lab to storage and analyze genomics data from several sources for your team.

Service Description Type Cost/unit Units Total cost
Data space WHITE 1 year 0 1 0
Lab 1 year 5785 1 5785
Compute default.b5 1 year 30976 1 30976
Store 10 terabytes 1 year 2331 10 23310
PER YEAR 60071

The above example gives you a free data space and one lab, a machine with computational power for many analysis, and storage capacity to both experiment and archive larger data sets. The cost may be reduced by for example reducing the compute size in day-to-day activities and then upgrade to larger on-demand machines in analysis intensive periods.

# Machine learning

Let's increase the complexity slightly. This example is for a machine learning lab with mixed activities that require data storage, computational power and graphical accelerators. The example list one home machine, one machine with GPU and a total of 15TB storage.

Service Description Type Cost/unit Units Total cost
Data space WHITE 1 year 0 1 0
Lab 1 year 5785 1 5785
Compute default.b2 1 year 4646 1 4646
Compute default.d3 1 year 21239 1 21239
Compute NVIDIA V100 1 year 28592 1 28592
Store First 10 TB 1 year 2331 10 23310
Store Next 5 TB 1 year 1665 5 8325
PER YEAR 91897
As the others examples, this includes a free data space and one lab. The compute resources are split in two machines: a smaller home machine (default.b2) for data handling and day-to-day activities, and a larger machine (default.d3) that has attached one enterprise GPU card. You need to extra machine to obtain administrator privileges. The 15 TB total storage in the lab is priced in the first two storage tiers with a reduced priced for the TB's above 10 TB. The mean storage price in the example is 2109.

# Data archives

This configuration exemplifies a large data archive, such as a biobank or image archive that manages data for reuse. The activity inside the lab would typically be data import, intensive quality control at the time of data arrivals, compression and other preservation activities and data exports. The configuration exemplifies a data archive holding a total of 150 TB with intensified quality control a total of 90 days of the year.

Service Description Type Cost/unit Units Total cost
Data space WHITE 1 year 0 1 0
Lab 1 year 5785 1 5785
Compute default.b2 1 year 4646 1 4646
Compute default.b5 Days 112.02 90 10082
Store First 10 TB 1 year 2331 10 23310
Store Next 90 TB 1 year 1665 90 149850
Store Over 100 TB 1 year 1266 50 63300
PER YEAR 256973

The above examples gives you one free data space and one lab with a home machine intended for data archiving and transfers. On-demand compute resources is consumed for a total of 90 days. The storage price is calculated across all storage tiers in the the price list ending at a mean price of 1576 per TB. The total cost may be reduced by for example tailored preservation strategies utilizing tapes for duplicate copies.

# Lab portfolios

The following examples are aimed at larger scientific centers and organizational unites that organize several labs in their data space.

# Epidemiology center

This example is for a data space consisting of 5 labs: one is dedicated to the internal day-to-day work of the center's core team, one lab is dedicated to data storage with restricted access, and three labs are dedicated to different external collaborations in three different research projects.

Service Description Type Cost/unit Units Total cost
Data space ORANGE 1 year 8495 1 8495
Lab 1 year 5785 5 28925
Compute COMMITMENT default.b3 1 year 7744 1 7744
Compute COMMITMENT default.b1 1 year 2904 1 2904
Compute COMMITMENT default.b2 1 year 4646 3 13938
Store First 10 TB 1 year 2331 5 11655
PER YEAR 73661
This examples gives you a ORANGE data space and five lab subscriptions. The day-to-day lab has a slightly larger machine than the external labs. The storage lab holds the smallest machine type. Each lab has attached 1 TB of storage with a total consumption of 5 TB for the data space.

Since the combined storage do not get above 10 TB to invoke the volume discount, the mean lab price will be slightly more expensive due to the ORANGE subscription cost compared to initial epidemiology example on the free subscription level (14732 vs 12762 = 1970 more per year).

The advantage of bundling labs into a joint center portfolio can be to access custom machine types, free external data exports and simplified reporting and management.

# Genomics center

The next example is for a center with five labs: one for internal day-to-day work area, one for restricted storage and three labs are dedicated to external collaborations with intense activity in parts of the year. The combined storage is 50 TB.

Service Description Type Cost/unit Units Total cost
Data space BLUE 1 year 35397 1 35397
Lab 1 year 5785 5 28925
Compute COMMITMENT default.b1 1 year 2904 1 2904
Compute COMMITMENT default.b5 1 year 30976 1 30976
Compute COMMITMENT default.b2 1 year 4646 3 13938
Compute BLUE default.c5 Days 46.96 90 4227
Compute BLUE default.b4 Days 13.37 30 401
Compute ON-DEMAND default.c5 Days 177.09 90 15938
Store First 10 TB 1 year 2331 10 23310
Store Next 90 TB 1 year 1665 40 66600
PER YEAR 222616

The example gives you a BLUE data space and five labs. The day-to-day lab has a machine type to handle most analysis, the storage lab the smallest machine type for data handling, and the collaborative labs small machines that are upgraded for intensive analytical periods. Two such machines utilizes BLUE machines with highly reduced price. The 50 TB total storage is divided across the two first price tiers with a mean cost of 1798 per TB.

# Machine learning center

The last example is for a portfolio of five labs tailored for machine learning: one is dedicated to the internal day-to-day work of the center's core team, one lab is dedicated to data storage with restricted access, and three labs that are dedicated to collaborations with external teams. The total storage is 30 TB.

Service Description Type Cost/unit Units Total cost
Data space ORANGE 1 year 8495 1 8495
Lab 1 year 5785 5 28925
Compute COMMITMENT default.b1 1 year 2904 1 2904
Compute COMMITMENT default.b2 1 year 4646 4 18584
Compute COMMITMENT default.d3 1 year 21239 2 42478
Compute COMMITMENT NVIDIA V100 1 year 28592 2 57184
Compute ON-DEMAND default.d3 Days 76.81 60 4609
Compute ON-DEMAND NVIDIA V100 Days 117.50 60 7050
Compute ON-DEMAND default.d3 Days 76.81 90 6913
Compute ON-DEMAND NVIDIA V100 Days 117.50 90 10575
Compute ON-DEMAND default.d3 Days 76.81 90 6913
Compute ON-DEMAND NVIDIA V100S Days 136.3 60 8178
Compute ON-DEMAND default.d3 Days 76.81 60 4609
Store First 10 TB 1 year 2331 10 23310
Store Next 90 TB 1 year 1665 20 33300
PER YEAR 264027

This data space is on the ORANGE subscription with five labs. The home machines is a combination of smaller machine types: default.b1 (storage) and default.b2 (others). The labs rely on additional machines for its GPU activity. The day-to-day lab include one additional permanent machine (default.d3) with one GPU card, while the labs aimed for external collaborations deploy on-demand machines with GPUs for various periods of the year. The 30 TB storage is split on the two first storage tiers with a mean cost of 1887 per TB.