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Lab Scenario: GPU-as-a-Service network with NVIDIA Spectrum-X architecture¶
Initialize the Netris controller¶
Start with a blank Netris Controller. SSH to the Netris controller server and cd /home/ubuntu/netris-init/netris-spectrum-x-init.
Optionally Edit terraform.tfvars file to set cluster scale parameters.
Below, we describe the role of a few parameters that directly define the scale. The description of the rest of the parameters is available in the terraform.tfvars file itself. For the purpose of this try & learn scenario, there is no need to change the other parameters.
The east-west switch fabric is responsible for high performance data transmission between GPU servers. It rail-optimized design allows to non-blocking max-rate data transmission between any GPUs on the network. You only need to define the number of GPU servers in the terraform.tfvars file. When you execute the initialization module, it will automatically calculate the proper number of links and will generate the rail-optimized blueprint in the Netris controller according to the NVIDIA Spectrum-X guidelines.
Define
gpu-server-countusing increments of 32 (1 SU = 32 servers, 2 SUs = 64 servers, etc.)
The north-south switch fabric is responsible for everything else - for connectivity from the outside, to manage the GPU nodes and operate workloads. OOB management switches are responsible for out-of-band management of the network switches and GPU servers. In production, OOB management is also used for PXE booting the GPU servers. In this simulation scenario, GPU servers will be booted by means of the Netris infrastructure simulation platform for your conveninece of teasting and learning.
Define
leaf-count- the rule of thumb is that at least 1/4th of the number of SUs - so 4 leaf switches can handle up to 4 SUsDefine
oob-leaf-count- Should be equal to the number of SUs.Define
spine-count- Typically 2, although other values are welcome.
Save the changes and exit.
Execute tofu-apply or tofu-destroy to insert/clean up relevant declarations into the Netris controller.
Navigate to the Netris controller in your web browser to see the results.
Start a simulation¶
Check Inventory, IPAM, and Topology sections under Network menu in the Netris controller web console. (In the topology section, you may need to select the right site to see a diagram)
Go back to the SSH session and cd to /home/ubuntu/netris-cloudsim
Execute pulumi up or pulumi destroy to start/stop a simulation of what’s described in the Netris Controller.
Monitoring Dashboard¶
Once simulation creation is done, go back to the Netris web console and wait up to 5 minutes for the infrastructure to come up. You can monitor the status of the network either from the dashboard (click on the Netris icon in the top left corner) or from the Topology section.
Click on Agent Heartbeats donut to see its detailed view on the right. Agent Heartbeats section shows whether Netris agent heartbeat is being received from each Netris-managed host.
Once heartbeats are received, automatic configuration will start, as well as automatic monitoring. Netris automatic monitoring provides information about the health of your network, such as Interface up/down status, BGP status, Topology/Wiring errors, RAM/CPU/PSU/Fan status, and else.
Click on the Managed HW Health donut to see monitoring check statuses for each Netris-managed node on the right side.
Topology¶
The group of spine and leaf switches at the top part is the east-west network (backend network). The group of spine and leaf switches in the bottom is the north-south network (Tennant Access Network). GPU servers are located in the middle between two switch fabrics. If you zoom in, you can see that eth ports 1-8 of each GPU server are connected to the east-west fabric through rail-optimized design - that’s where high-performance computing traffic runs. Interfaces 9-10 are connected to the leaf switches of north-south fabric, later you will see that interfaces 9 & 10 will be bonded from the GPU server side - that’s where production traffic, storage traffic, dataset management, and workload management traffic runs. Finally, interface 11 is connected to the OOB (out of band) management switch. OOB interfaces are used for PXE booting the GPU nodes. (in the current simulation there’s no PXE booting - the VMs that simulate GPU servers just come alive from an image)
Network->Topology The main purpose of the topology section is to define the topology. In this scenario, the topology has been defined by means of the initialization module. However, manual changes can still be done through the web console.
When deploying with physical hardware, the procedure would be to wire the switches and servers according to the topology diagram in Netris. During that process, the MAC address of each physical switch should be entered into the Netris controller through Topology, by editing every switch node (only for switches) and entering the actual MAC address. These MAC addresses will be required for binding the physical switches to logical switches in the Netris controller.
When running a simulation, like in this scenario there’s no need to enter any MAC addresses. The simulation platform will take care of everything.
The Topology section also reflects some monitoring information. Links change their color based on link status and utilization. You can zoom in/out and then right-click on any link to check its details to see traffic statistics and any relevant healthcheck info. Switch and SoftGate nodes show numbers on a red/yellow/green background reflecting the quantity of critical/warning/ok checks per each node.
Once your newly created simulation is converged, you will see only 1 check in critical state on every switch - that’s the time synchronization, which takes up to 10 minutes to go green.
SSH to Switches¶
During regular operation, there’s no need to SSH to any switches because configuration and management is fully automated by Netris software.
There are rare cases when the administrator needs to SSH to a switch. To do so, Find the switch management IP from Topology or Inventory sections in the Netris web console. SSH from the Netris Controller to the management IP of the switch using ‘cumulus’ username. No password is needed when working with the simulation.
Example:
ubuntu@test-ctl:~/netris-cloudsim$ ssh cumulus@10.7.0.4
Debian GNU/Linux 12
Linux leaf-pod00-su0-r3 6.1.0-cl-1-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.1.38-4+cl5.9.1u6 (2024-05-13) x86_64
Last login: Thu Sep 12 16:21:35 2024 from 10.8.0.2
cumulus@leaf-pod00-su0-r3:mgmt:~$
SSH to GPU servers¶
GPU servers are connected to the east-west and north-south fabrics. At this point of the lab scenario, we haven’t created any VPC/V-Net/VLAN services to instruct the fabric to provide connectivity to any interfaces of any GPU nodes. However, for the purpose of learning and experimenting, the simulation platform has an additional management network that allows you to connect to GPU servers anytime.
SSH from the Netris controller server to a few GPU servers using ‘root’ username and IP addresses starting 192.168.16.2. ( 192.168.16.2 is host 0 in SU0, 192.168.16.3 is host 1 in SU0, etc.)
Example:
ubuntu@test-ctl:~$ ssh root@192.168.16.2
Welcome to Ubuntu 22.04.4 LTS (GNU/Linux 5.15.0-119-generic x86_64)
* Documentation: https://help.ubuntu.com
* Management: https://landscape.canonical.com
* Support: https://ubuntu.com/pro
System information as of Fri Sep 13 01:34:28 UTC 2024
System load: 0.13 Processes: 95
Usage of /: 29.2% of 5.64GB Users logged in: 0
Memory usage: 22% IPv4 address for ens4: 192.168.16.2
Swap usage: 0%
Expanded Security Maintenance for Applications is not enabled.
39 updates can be applied immediately.
12 of these updates are standard security updates.
To see these additional updates run: apt list --upgradable
Enable ESM Apps to receive additional future security updates.
See https://ubuntu.com/esm or run: sudo pro status
New release '24.04.1 LTS' available.
Run 'do-release-upgrade' to upgrade to it.
Last login: Thu Sep 12 23:20:36 2024 from 10.8.0.2
root@hgx-pod00-su0-h00:~#
On the GPU host, you’ll find ./cluster-ping.sh, which is a bash script that helps you execute parallel pings across every east-west and north-south interface towards any GPU node. The script knows the IP addressing scheme used in this scenario, and it only needs the SU number and host number.
In the below example, the host pings itself. So, local interface IPs are responding, while the default gateways are not. If you ping another host, you’ll get timeouts on all interfaces.
root@hgx-pod00-su0-h00:~# ./cluster-ping.sh 0 0
Usage: ./cluster-ping.sh <SU> <Host>
Ping from hgx-pod00-su0-h00 to SU:0 host:0
------ East-West Fabric ------
ping rail0 (172.0.0.0) : OK
ping rail1 (172.32.0.0) : OK
ping rail2 (172.64.0.0) : OK
ping rail3 (172.96.0.0) : OK
ping rail4 (172.128.0.0) : OK
ping rail5 (172.160.0.0) : OK
ping rail6 (172.192.0.0) : OK
ping rail7 (172.224.0.0) : OK
------ North-South Fabric ------
ping bond0 (192.168.0.1) : OK
ping default GW (192.168.7.254) : Timeout
------ IPMI/BMC ------
ping eth11 (192.168.8.1) : OK
ping default GW (192.168.15.254) : Timeout
root@hgx-pod00-su0-h00:~#
NHN (Netris host networking plugin)¶
Netris host networking plugin is an optional plugin that runs on a GPU host for automatic configuration of IP addresses, static routes, and DPU parameters. The plugin does not use any management network and does not carry any sensitive information. It’s important for multi-tenant situations because the cloud provider should not have access to the tenant servers – therefore, any host configuration method shall not use any kind of shared management network. Also, the tenant should not be able to access any sensitive information of the cloud provider or other tenants. Netris host networking plugin addresses both issues. The plugin reads the necessary IP and static route information by leveraging LLDP, topology discovery, and custom TLVs.
The below example shows how to check if the pluggin is running:
root@hgx-pod00-su0-h00:~# systemctl status netris-hnp.service
● netris-hnp.service - Netris Host Networking Plugin
Loaded: loaded (/etc/systemd/system/netris-hnp.service; enabled; vendor preset: enabled)
Active: active (running) since Thu 2024-09-12 23:01:22 UTC; 21h ago
Main PID: 2906 (netris-hnp)
Tasks: 4 (limit: 1102)
Memory: 7.7M
CPU: 3min 35.913s
CGroup: /system.slice/netris-hnp.service
└─2906 /opt/netris/bin/netris-hnp
You can also check the running IP addresses and static routes on the GPU server, and if you right-click on the server to switch links in the Network->Topology and check the details, you will see that the actual IP addresses on the GPU servers are aligned with those in the Topology blueprint.
Server Cluster Template¶
Now, when the switch fabric is in an operational state, the underlay is established, it is the time to start defining cloud networking constructs such as VPCs, Subnets, etc., in order to ask the system to provision network access to certain groups of servers.
One way to do that would be to navigate to Network->VPC, Network->IPAM, and Services->V-Net sections and create these objects, list switch ports, and then Netris will implement the necessary confogurations.
Before that, there is one more important concept that we want you to learn. Server Cluster and Server Cluster Template. Server Cluster allows the creation of VPC, IPAM, and V-Net objects by listing server names instead of switch ports – this is critical for cloud providers because cloud users don’t want to deal with switch ports.
In the web console, navigate to Services->Server Cluster Template - click +Add, give the template some name ‘GPU-Cluster-Template’ or something, and copy/paste the below in the JSON area.
The Template is basically telling the system to what server interfaces should be groupped into what V-Nets. Netris will find out the appropriate switch ports by looking up the topology.
[
{
"postfix": "East-West",
"type": "l3vpn",
"vlan": "untagged",
"vlanID": "auto",
"serverNics": [
"eth1",
"eth2",
"eth3",
"eth4",
"eth5",
"eth6",
"eth7",
"eth8"
]
},
{
"postfix": "North-South-in-band-and-storage",
"type": "l2vpn",
"vlan": "untagged",
"vlanID": "auto",
"serverNics": [
"eth9",
"eth10"
],
"ipv4Gateway": "192.168.7.254/21"
},
{
"postfix": "OOB-Management",
"type": "l2vpn",
"vlan": "untagged",
"vlanID": "auto",
"serverNics": [
"eth11"
],
"ipv4Gateway": "192.168.15.254/21"
}
]
Server Cluster¶
Now, navigate to Services->Server Cluster and click +Add. Give the new cluster some name, set Admin to Admin (this is related to Netris internal permissions of who can edit/delete this cluster), set the site to your site (Datacenter-1 is the default name), set VPC to ‘create new’, select the Template (you’ll see the Template created in the last step), and click +Add server and include first 10 servers (from 0 to 9). Click Add.
While the Server Cluster is being provisioned, check out what primitive objects have been created in the Netris controller driven by the Server Cluster and Server Cluster Template constructs. Navigate to Network->VPC, and you’ll see a newly created VPC. Navigate to Network->IPAM, then open the VPC filter and make it filter the IPAM by your new VPC, you’ll see some subnets created and assigned to that new VPC. Navigate to Services->V-Net, and you’ll see some 3 V-Nets created, one for the east-west fabric (L3VPN VXLAN), one for north-south (L2VPN VXLAN - this one will have EVPN-MH bonding enabled, you’ll see in next steps), and one for OOB.
Go ahead, and create another Server Cluster, and include the next 10 servers - or any other servers. The system won’t let you “double-book” any server in more than one cluster to avoid conflicts.
Checking the connectivity¶
SSH to GPU server host 0 SU 0.
ubuntu@test-ctl:~$ ssh root@192.168.16.2
Welcome to Ubuntu 22.04.4 LTS (GNU/Linux 5.15.0-119-generic x86_64)
Cluster-ping the neighboring GPU servers. SU0 host 0-9
root@hgx-pod00-su0-h00:~# ./cluster-ping.sh 0 9
Usage: ./cluster-ping.sh <SU> <Host>
Ping from hgx-pod00-su0-h00 to SU:0 host:9
------ East-West Fabric ------
ping rail0 (172.0.0.18) : OK
ping rail1 (172.32.0.18) : OK
ping rail2 (172.64.0.18) : OK
ping rail3 (172.96.0.18) : OK
ping rail4 (172.128.0.18) : OK
ping rail5 (172.160.0.18) : OK
ping rail6 (172.192.0.18) : OK
ping rail7 (172.224.0.18) : OK
------ North-South Fabric ------
ping bond0 (192.168.0.10) : OK
ping default GW (192.168.7.254) : OK
------ IPMI/BMC ------
ping eth11 (192.168.8.10) : OK
ping default GW (192.168.15.254) : OK
root@hgx-pod00-su0-h00:~#
Since GPU servers from 0 to 9 are in the same cluster, you should be able to cluster-ping all of them. If you try to cluster-ping other nodes, you will get timeouts because they are not in the same Server Cluster - so the Netris-generated configuration of the switches will contain the access within a single VPC using various configurations throughout the network.
You can SSH to GPU server SU0 host 10, which belongs in the second cluster, and cluster-ping its neighbors.
ubuntu@test-ctl:~$ ssh root@192.168.16.12
Welcome to Ubuntu 22.04.4 LTS (GNU/Linux 5.15.0-119-generic x86_64)
Cleanup the Controller¶
At this point this Netris Try & Learn scenario has been concluded. You may want to clean up the lab to let your colleagues run through the scenario or if you are working on another one. There is no need to clean up if you are about to return the environment to the Netris team – we are going to recycle and reinstall the environment anyway.
Delete Server Clusters from the
Services->Server Clustermenu.Delete Server Cluster Profile from the
Services->Server Cluster Profilemenu.SSH to the Netris controller server,
cd /home/ubuntu/netris-cloudsim, and executepulumi destroyto destroy the infrastructure simulation.cd /home/ubuntu/netris-init/netris-spectrum-x-initand execute tofu-destroy to remove the objects from the Netris controller that were created through the initialization module.
Please let us know your feedback and questions.