diff --git a/net/README.md b/net/README.md
index 8949c6f6bc..dc55cf471a 100644
--- a/net/README.md
+++ b/net/README.md
@@ -13,13 +13,9 @@ $ gcloud auth login
 Also ensure that `$(whoami)` is the name of an InfluxDB user account with enough
 access to create a new database.
 
-You currently must be running on a Linux system (for now, TODO fix this)
-
 ## Quick Start
-
 ```bash
 $ cd net/
-
 $ ./gce.sh create -n 5 -c 1  #<-- Create a GCE testnet with 5 validators, 1 client (billing starts here)
 $ ./init-metrics $(whoami)   #<-- Configure a metrics database for the testnet
 $ ./net.sh start             #<-- Deploy the network from the local workspace
@@ -27,3 +23,36 @@ $ ./ssh.sh                   #<-- Details on how to ssh into any testnet node
 $ ./gce.sh delete            #<-- Dispose of the network (billing stops here)
 ```
 
+## Tips
+
+### Running the network over public IP addresses
+By default private IP addresses are used with all instances in the same
+availability zone to avoid GCE network engress charges.  However to run the
+network over public IP addresses:
+```bash
+$ ./gce create -P ...
+```
+
+### Deploying a Snap-based network
+To deploy the latest pre-build `edge` channel Snap (ie, latest from the `master`
+branch), once the testnet has been created run:
+
+```bash
+$ ./net start -s edge
+```
+
+### Enabling CUDA
+First ensure the network instances are created with GPU enabled:
+```bash
+$ ./gce.sh create -g ...
+```
+
+If deploying a Snap-based network nothing further is required, as GPU presence
+is detected at runtime and the CUDA build is auto selected.
+
+If deploying a locally-built network, first run `./fetch-perf-libs.sh` then
+ensure the `cuda` feature is specified at network start:
+```bash
+$ ./net.sh start -f "cuda,erasure"
+```
+