How Do I Deploy Large Language Models on High Memory EC2 Instances?

Introduction

Deploying large language models (LLMs) on AWS requires instances with high memory capacity due to the intensive memory demands of model inference. This guide provides a detailed walkthrough on provisioning an EC2 instance on AWS that is capable of supporting these requirements.

Step-by-Step Deployment Process

1. AWS Provider Configuration: Begin by configuring the AWS provider to interact with AWS resources. This is essential for managing and deploying resources on AWS.

2. Create a Security Group: Set up a security group to manage inbound and outbound traffic to the EC2 instance. This includes allowing SSH access for remote management.

3. Provision EC2 Instance: Deploy an EC2 instance using a high-memory instance type, such as r5.12xlarge, which is suitable for hosting large language models. Ensure the instance is associated with the security group created in the previous step.

4. Export Instance Details: Finally, export the instance ID and public DNS for easy access and management. These details will be crucial for connecting to the instance and deploying your model.

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

const llmSg = new aws.ec2.SecurityGroup("llm_sg", {
    namePrefix: "llm-sg-",
    ingress: [{
        description: "Allow SSH",
        fromPort: 22,
        toPort: 22,
        protocol: "tcp",
        cidrBlocks: ["0.0.0.0/0"],
    }],
    egress: [{
        fromPort: 0,
        toPort: 0,
        protocol: "-1",
        cidrBlocks: ["0.0.0.0/0"],
    }],
});
const llmHost = new aws.ec2.Instance("llm_host", {
    ami: "ami-0c55b159cbfafe1f0",
    instanceType: aws.ec2.InstanceType.R5_12XLarge,
    vpcSecurityGroupIds: [llmSg.id],
    keyName: "my-key-pair",
    tags: {
        Name: "LLM Host",
    },
});
export const instanceId = llmHost.id;
export const instancePublicDns = llmHost.publicDns;

Key Points

• High Memory Instances: Essential for handling the memory-intensive nature of large language models.
• Security Configuration: Proper security group settings are crucial for safe and secure access.
• Instance Details Export: Exporting the instance ID and DNS facilitates easy management and deployment.

Conclusion

Deploying large language models on AWS EC2 requires careful consideration of instance types and security configurations. By following the steps outlined, you can efficiently set up an environment that supports the demands of LLMs, ensuring high performance and security.