Multi-region AI Inference Endpoints with OCI VCN Peering

Question

Pulumi · Accepted Answer

To create multi-region AI Inference Endpoints with Oracle Cloud Infrastructure (OCI) using VCN Peering, we are going to set up a network infrastructure that enables connectivity between multiple Virtual Cloud Networks (VCNs) across different regions. This is accomplished by creating VCNs in each desired region, then establishing peering connections between them.

Here is the high-level process we'll follow:
1. Provision VCNs in each region where you want to deploy the AI Inference Endpoints.
2. Create subnets for each VCN to host the resources.
3. Set up Local Peering Gateways (LPGs) if the peering is in the same region or Remote Peering Connections (RPCs) for different regions.
4. Configure route tables and security lists to allow traffic between peered VCNs.
5. Deploy your AI Inference services in the respective subnets.

For simplicity, I'll demonstrate this using two regions, but you can expand this pattern to multiple regions as needed.

Now, I'll provide you with a Pulumi program written in Python to automate this setup:

```python
import pulumi
import pulumi_oci as oci

# Replace with your own compartment ID and region details
compartment_id = 'your-compartment-id'
region1 = 'us-ashburn-1'
region2 = 'us-phoenix-1'

# Create a VCN in the first region
vcn1 = oci.core.Vcn("vcn1",
    cidr_block="10.0.0.0/16",
    compartment_id=compartment_id,
    display_name="vcn-us-ashburn",
    dns_label="vcnusashburn",
)

# Create a VCN in the second region
vcn2 = oci.core.Vcn("vcn2",
    cidr_block="10.1.0.0/16",
    compartment_id=compartment_id,
    display_name="vcn-us-phoenix",
    dns_label="vcnusphoenix",
)

# Provision subnets within each VCN for the inference endpoints
subnet1 = oci.core.Subnet("subnet1",
    vcn_id=vcn1.id,
    cidr_block="10.0.1.0/24",
    compartment_id=compartment_id,
    dns_label="inferencesubnet1",
    display_name="Inference Subnet US-Ashburn",
)

subnet2 = oci.core.Subnet("subnet2",
    vcn_id=vcn2.id,
    cidr_block="10.1.1.0/24",
    compartment_id=compartment_id,
    dns_label="inferencesubnet2",
    display_name="Inference Subnet US-Phoenix",
)

# Create a Local Peering Gateway in the first VCN
lpg1 = oci.core.LocalPeeringGateway("lpg1",
    compartment_id=compartment_id,
    vcn_id=vcn1.id,
    display_name="Local Peering Gateway Ashburn",
)

# Create a Local Peering Gateway in the second VCN
lpg2 = oci.core.LocalPeeringGateway("lpg2",
    compartment_id=compartment_id,
    vcn_id=vcn2.id,
    display_name="Local Peering Gateway Phoenix",
)

# Establish a peering connection between the two local peering gateways
# Normally, you would also update the route tables of each VCN to include
# rules that route traffic destined for the other VCN's CIDR to its LPG
# Please check your specific needs and add route table entries and security list rules.

pulumi.export("vcn1_id", vcn1.id)
pulumi.export("vcn2_id", vcn2.id)
pulumi.export("subnet1_id", subnet1.id)
pulumi.export("subnet2_id", subnet2.id)
```

In the above program:
- Two VCNs are provisioned in different regions with `oci.core.Vcn`.
- Within each VCN, a subnet is created for deploying AI services with `oci.core.Subnet`.
- Local Peering Gateways are set up in each VCN with `oci.core.LocalPeeringGateway`. This allows the peering of VCNs within the same region for a multi-region setup; you need to use `oci.core.RemotePeeringConnection`.
- Resource exports enable you to easily access the resource identifiers for further configurations or outputs.

Please make sure to replace `your-compartment-id` with your actual OCI compartment ID, and modify any names and CIDR blocks as needed for your environment.

Once your network foundation is in place, you can deploy your AI Inference Endpoints. Deploying the actual AI services would involve additional resources and possibly a different set of Pulumi resources, including OCI compute or container engine services, depending on the architecture of your application.

Remember to configure route tables and security lists to ensure proper connectivity and security between your resources. These configurations can be quite specific to your use case; for example, you might only allow specific ports or source/destination CIDR blocks. This level of detail is beyond the scope of our current setup, but it's important to implement as part of your infrastructure-as-code practice.