Add Tips section
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@ -13,13 +13,9 @@ $ gcloud auth login
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Also ensure that `$(whoami)` is the name of an InfluxDB user account with enough
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access to create a new database.
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You currently must be running on a Linux system (for now, TODO fix this)
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## Quick Start
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```bash
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$ cd net/
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$ ./gce.sh create -n 5 -c 1 #<-- Create a GCE testnet with 5 validators, 1 client (billing starts here)
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$ ./init-metrics $(whoami) #<-- Configure a metrics database for the testnet
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$ ./net.sh start #<-- Deploy the network from the local workspace
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@ -27,3 +23,36 @@ $ ./ssh.sh #<-- Details on how to ssh into any testnet node
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$ ./gce.sh delete #<-- Dispose of the network (billing stops here)
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```
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## Tips
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### Running the network over public IP addresses
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By default private IP addresses are used with all instances in the same
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availability zone to avoid GCE network engress charges. However to run the
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network over public IP addresses:
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```bash
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$ ./gce create -P ...
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```
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### Deploying a Snap-based network
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To deploy the latest pre-build `edge` channel Snap (ie, latest from the `master`
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branch), once the testnet has been created run:
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```bash
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$ ./net start -s edge
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```
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### Enabling CUDA
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First ensure the network instances are created with GPU enabled:
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```bash
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$ ./gce.sh create -g ...
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```
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If deploying a Snap-based network nothing further is required, as GPU presence
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is detected at runtime and the CUDA build is auto selected.
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If deploying a locally-built network, first run `./fetch-perf-libs.sh` then
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ensure the `cuda` feature is specified at network start:
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```bash
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$ ./net.sh start -f "cuda,erasure"
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```
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