Document Docker deployment for partners

https://redmine.teklia.com/issues/6934

content/deployment/ponos.md

++++
+title = "Ponos agent"
+description = "Deploy Ponos agents on your own infrastucture to run machine learning processes on GPU"
+
+weight = 50
++++
+
+{% info() %}
+This feature is only available for Enterprise Edition customers.
+{% end %}
+
+If your setup requires Machine Learning process, you'll need at least one **Ponos Agent** on a dedicated server.
+
+The setup of this kind of server is easier, as it only requires to run the agent (from Docker image `registry.gitlab.teklia.com/arkindex/ponos-agent`) and configure it. The tasks will then be triggered by the agent automatically.
+
+To begin the setup, you'll need 2 private keys: one for the backend, another for the agent. Each agent needs a dedicated key to authenticate itself.
+
+To generate a valid private key: 
+
+```sh
+openssl ecparam -name secp384r1 -genkey -noout > agent.key
+```
+
+A YAML configuration file is also required:
+
+```yaml
+---
+# Save as agent.yml
+url: https://ark.localhost/
+farm_id: XXXXX
+seed: YYYYY
+data_dir: /data
+private_key: /etc/ponos/agent.key
+```
+
+The `farm_id` and `seed` information can be found in the Arkindex administration interface under the section **Ponos > Farms**.
+
+You can then run the agent as:
+
+```sh
+docker run \
+  --name=ponos \
+  -v /var/run/docker.sock:/var/run/docker.sock \
+  -v ./agent.yml:/etc/ponos/agent.yml:ro \
+  -v ./agent.key:/etc/ponos/agent.key:ro \
+  -v ponos_data:/data
+  registry.gitlab.teklia.com/arkindex/ponos-agent:X.Y.Z
+```
+
+Please note that the agent requires a write access on the local Docker socket in order to create new containers that will run the tasks.
+
+The `ponos_data` docker volume is not required, but will allow to retrieve debug logs outside of the agent container.