Pricing
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Illumina Connected Analytics leverages cloud resources to perform the operations needed for data storage and compute workloads. This page details price information for the billable actions within the platform.
All data storage and compute workloads are charged for using iCredits. Learn more about iCredits .
To see the price of an analysis in iCredits, look at Projects > your_project > Flow > Analyses > your_analysis > Details tab. The pricing section will show you the entitlement bundle, storage detail and price in iCredits. For the API use /api/projects/{projectId}/analyses/{analysisId}/usage
This section provides information about data storage pricing.
Standard
22.50
Archive
2.00
Archival Send (iCredits/TB)
20
Archival Retrieval (iCredits/TB)
30
This section provides information about compute pricing for pipeline execution in Flow.
Small
small
1.2TB (1200GiB)
0.2016
Medium
medium
2.4TB (2400GiB)
0.4032
Large
large
7.2TB (7200GiB)
1.2096
XLarge
xlarge
16TB (16000GiB)
2.688
2XLarge
2xlarge
32TB (32000GiB)
5.376
3XLarge
3xlarge
64TB (64000GiB)
10.752
standard-small
0.352016
0.176008
2
8
standard-medium
0.474656
0.237328
4
16
standard-large
0.719936
0.359968
8
32
standard-xlarge
1.210496
0.605248
16
64
standard-2xlarge
2.191616
1.095808
32
128
hicpu-small
1.176896
0.588448
16
32
hicpu-medium
2.361296
1.180648
32
72
hicpu-large
4.493216
2.246608
72
144
himem-small
0.901376
0.450688
8
64
himem-medium
1.573376
0.786688
16
128
himem-large
4.261376
2.130688
48
384
himem-xlarge
8.293376
4.146688
96
768
hiio-small
0.457016
0.228508
2
16
hiio-medium
0.684656
0.342328
4
32
fpga-medium
5
5
16
244
fpga-large
13.541696
13.541696
64
976
gpu-small
2.570400
-
8
61
1
16
gpu-medium
10.28160
-
32
244
4
64
transfer-small(*)
0.784000
0.392000
4
10
transfer-medium(*)
1.176000
0.588000
8
15
transfer-large(*)
2.448000
1.224000
16
30
(*)The transfer size selected is based on the selected storage size for compute type and used during upload and download system tasks.
❗️ The compute type 'fpga-medium' should be generally preferred over 'fpga-large'.
This section provides information about data warehouse pricing in Base. Prices below are shown in iCredits/hr for each of the virtual warehouse sizes. Prices vary for each region.
In the example below, you can see which charges are incurred. Query 1 and 2 can both be done within the same running warehouse, for 3, a new warehouse needs to be spun up. The total cost in this example is running a warehouse for 1 & 2 (10s + 120s idle + 90s + 5 min idle) and a warehouse for 3 (1 min + 5 min idle). This in turn illustrates why it would be more economical to do all queries, within one short timeslot. Then you only have the time of those queries + 5 minutes of keeping the warehouse spinning after the last query. Additionally you can have load warehouses following the same principle running in parallell.
US (use1)
3.94
7.87
15.74
31.49
62.98
125.95
251.90
503.81
Japan (apn1)
5.60
11.21
22.42
44.83
89.66
179.33
358.66
717.31
South Korea (apn2)
5.41
10.82
21.65
43.30
86.59
173.18
346.37
692.74
Singapore (aps1)
4.92
9.84
19.68
39.36
78.72
157.44
314.88
629.76
Australia (aps2)
5.41
10.82
21.65
43.30
86.59
173.18
346.37
692.74
India (aps3)
5.41
10.82
21.65
43.30
86.59
173.18
346.37
692.74
Europe (euc1)
5.11
10.22
20.45
40.90
81.79
163.58
327.17
654.34
Canada (cac1)
4.43
8.86
17.71
35.42
70.85
141.70
283.39
566.78
UK (euw2)
5.32
10.63
21.26
42.53
85.06
170.11
340.22
680.45
Tables in Base also incur a storage cost of 23 iCredits/TB/month.
standard-small
0.352016
2
8
standard-medium
0.474656
4
16
standard-large
0.719936
8
32
standard-xlarge
1.210496
16
64
standard-2xlarge
2.191616
32
128
gpu-small
2.570400
8
61
1
16
gpu-medium
10.28160
32
244
4
64
gpu-large
20.56320
64
488
8
128
hicpu-small
1.176896
16
32
hicpu-medium
2.361296
36
72
hicpu-large
4.493216
72
144
himem-small
0.901376
8
64
himem-medium
1.573376
16
128
himem-large
4.261376
48
384
himem-xlarge
8.293376
96
768
hiio-small
0.457016
2
16
hiio-medium
0.684656
4
32
Bench workspaces also incur a storage cost of 0.124 iCredits/GB/month.
The actual cost depends on duration, interval and requested resources. For example, when using Snowflake, 2 warehouses are created. One for query handling and one to do data handling to prevent large data uploads from interfering with queries. Starting a warehouse typically takes only a few seconds; but it can take longer as Snowflake has to provision the compute resources for the warehouse. To counter this, Snowflake allows to set a time interval during which a warehouse is kept running so that ensuing actions have low latency because they don't have to wait for a warehouse to be spun up. ICA has this time interval set to 5 minute, so after any query or data action, the warehouse is kept running for 5 more minutes. For this reason, it is most economical to do as many actions as possible in a short interval and not leaving 5 minutes between actions. In addition, Snowflake has a one minute minimum charge. For more information on warehouses, please refer to the.
This section provides information about workspace compute and storage pricing in Bench. For more information on the compute types, see
