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eunmoliveira merged 3 commits into from
Dec 18, 2025
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Swwm update machines #64

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ebb0cbd
Update 1.quick-start.md
eunmoliveira Dec 18, 2025
23e4091
update-task-summaries
eunmoliveira Dec 18, 2025
4247bb9
machine-mention-update
eunmoliveira Dec 18, 2025
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22 changes: 9 additions & 13 deletions docs/31.swmm/1.tutorials/0.setup-test.md
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Expand Up @@ -71,21 +71,21 @@ After the simulation completes, a task summary will be displayed in your termina
Task status: Success

Timeline:
Waiting for Input at 02/12, 10:32:31 0.845 s
In Queue at 02/12, 10:32:32 37.366 s
Preparing to Compute at 02/12, 10:33:09 1.375 s
In Progress at 02/12, 10:33:10 65.312 s
└> 65.135 s runswmm model.inp model.rpt
Finalizing at 02/12, 10:34:16 3.772 s
Success at 02/12, 10:34:19
Waiting for Input at 18/12, 16:39:26 1.051 s
In Queue at 18/12, 16:39:27 34.749 s
Preparing to Compute at 18/12, 16:40:01 1.953 s
In Progress at 18/12, 16:40:03 67.368 s
└> 67.155 s runswmm model.inp model.rpt
Finalizing at 18/12, 16:41:11 3.819 s
Success at 18/12, 16:41:15

Data:
Size of zipped output: 39.28 MB
Size of unzipped output: 808.37 MB
Number of output files: 5

Total estimated cost (US$): 0.01045 US$
Estimated computation cost (US$): 0.00045 US$
Total estimated cost (US$): 0.01028 US$
Estimated computation cost (US$): 0.00028 US$
Task orchestration fee (US$): 0.010 US$

Note: A per-run orchestration fee (0.010 US$) applies to tasks run from 01 Dec 2025, in addition to the computation costs.
Expand All @@ -94,10 +94,6 @@ Learn more about costs at: https://inductiva.ai/guides/how-it-works/basics/how-m

If the task status shows **Success**, congratulations! You've successfully run an SWMM simulation.

This simple example tested your installation on a small machine with just 4 virtual CPUs. Inductiva offers far more powerful options to supercharge your simulations.

Start running simulations seamlessly!

::docsbannersmall
::

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26 changes: 12 additions & 14 deletions docs/31.swmm/1.tutorials/1.quick-start.md
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Expand Up @@ -26,7 +26,7 @@ import inductiva
# Allocate cloud machine on Google Cloud Platform
cloud_machine = inductiva.resources.MachineGroup( \
provider="GCP",
machine_type="c2d-highcpu-4",
machine_type="c2d-highcpu-2",
spot=True)

# Initialize the Simulator
Expand All @@ -52,9 +52,7 @@ task.download_outputs()
task.print_summary()
```

In this basic example, we're using a cloud machine (`c2d-highcpu-4`) equipped with 4 virtual CPUs.
For larger or more compute-intensive simulations, consider adjusting the `machine_type` parameter to select
a machine with more virtual CPUs and increased memory capacity. You can explore the full range of available machines [here](https://console.inductiva.ai/machine-groups/instance-types).
In this basic example, we're using a cloud machine (`c2d-highcpu-2`) equipped with 2 virtual CPUs.Since SWMM runs in a single thread, increasing the number of vCPUs won’t speed up a single simulation. You may consider switching machine families via the `machine_type` parameter, as newer CPU generations can improve single-core performance. You can explore the full range of available machines [here](https://console.inductiva.ai/machine-groups/instance-types).

> **Note**: Setting `spot=True` enables the use of [spot machines](/guides/machines/spot-machines), which are available at substantial discounts.
> However, your simulation may be interrupted if the cloud provider reclaims the machine.
Expand All @@ -68,21 +66,21 @@ When the simulation is complete, we terminate the machine, download the results
Task status: Success

Timeline:
Waiting for Input at 02/12, 11:29:08 1.21 s
In Queue at 02/12, 11:29:09 35.567 s
Preparing to Compute at 02/12, 11:29:45 1.342 s
In Progress at 02/12, 11:29:46 2.173 s
└> 1.977 s runswmm Example8.inp model.rpt
Finalizing at 02/12, 11:29:48 0.63 s
Success at 02/12, 11:29:49
Waiting for Input at 18/12, 16:37:03 1.115 s
In Queue at 18/12, 16:37:04 36.949 s
Preparing to Compute at 18/12, 16:37:41 1.514 s
In Progress at 18/12, 16:37:42 1.444 s
└> 1.183 s runswmm Example8.inp model.rpt
Finalizing at 18/12, 16:37:44 0.934 s
Success at 18/12, 16:37:44

Data:
Size of zipped output: 253.95 KB
Size of zipped output: 253.98 KB
Size of unzipped output: 3.37 MB
Number of output files: 3

Total estimated cost (US$): 0.010038 US$
Estimated computation cost (US$): 0.000038 US$
Total estimated cost (US$): 0.010019 US$
Estimated computation cost (US$): 0.000019 US$
Task orchestration fee (US$): 0.010 US$

Note: A per-run orchestration fee (0.010 US$) applies to tasks run from 01 Dec 2025, in addition to the computation costs.
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1 change: 0 additions & 1 deletion docs/32.wavewatch3/1.tutorials/0.setup-test.md
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Expand Up @@ -106,6 +106,5 @@ This simple example tested your installation on a small machine with just 4 virt
::docsbannersmall
::


## Need Help?
If you encounter any issues or need further assistance, don't hesitate to [**Contact Us**](mailto:support@inductiva.ai). We're here to help!