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AI Infrastructure & Serving

GenAI on EKS Starter Kit

GenAI on EKS Starter Kit is a command-line toolkit for deploying self-hosted generative AI infrastructure on Amazon EKS using Kubernetes and Terraform. It provides configurable model-serving engines, AI gateways, embedding models, vector databases, observability tools and examples.

Independent OpenViST project profile, based on linked sources.

GenAI on EKS Starter Kit — OpenViST project profile in AI Infrastructure & Serving.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want a configurable, self-hosted generative AI stack on Amazon EKS and can provide the AWS and Kubernetes tooling it requires.

Who it is for

  • Teams deploying self-hosted LLMs and AI workloads on AWS.
  • Kubernetes operators assembling selected inference, gateway, embedding, storage and observability components on EKS.

Documented uses

  • Provision infrastructure for a generative AI environment on EKS.
  • Select and install AI components and examples through an interactive CLI setup.
  • Deploy and manage model-serving or embedding components, including configuring and updating models.
  • Assemble an NVIDIA Dynamo inference platform with monitoring, GPU Operator and vLLM components.
Before you choose

Requirements & limits

The repository is public and lists the MIT-0 license.

  • The target environment is Amazon EKS; this is infrastructure tooling, not a hosted inference service.
  • Setup requires AWS CLI, Terraform, Node.js, kubectl, Helm, Docker and Buildx.
  • Interactive setup allows component selection, while demo setup deploys its configured components and examples in order.
  • Interactive selections may require additional refresh installs if dependencies are not deployed in order.
  • The repository documents a separate ordered installation path for NVIDIA Dynamo.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up a customizable EKS component environment

Use interactive setup to select AI components and examples and have the kit provision infrastructure and install the selections.

Before you start

  • AWS CLI
  • Terraform
  • Node.js
  • kubectl
  • Helm

Steps

  1. Install project dependencies with npm install.

  2. Run ./cli configure and enter the required environment values.

  3. Run ./cli interactive-setup and select the components and examples to install.

Expected outcome

The kit provisions the required infrastructure using Terraform and installs the selected components and examples.

Guide limitations

  • Interactive selections may not be installed in the required order; some components or examples may need refreshing by running the CLI install command again.
COMPARE OPTIONS

Compare options for Model inference and serving

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
GenAI on EKS Starter KitProvision infrastructure for a generative AI environment on EKS.Cloud, Docker, Self-hosted, ServerThe repository is public and lists the MIT-0 license.
MorphingdbImport a libtorch model and create predictions from values in a PostgreSQL table.Docker, Linux, Self-hosted, ServerThe README documents a Docker image and a build-from-repository option, followed by connecting to PostgreSQL and enabling the pgdl extension.
Gateway — pyadavSend chat-completion requests to a provider through a common server endpoint.ServerThe repository is public and identifies the project as Apache-2.0 licensed. README installation instructions include binaries, platform package managers and Docker.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
14 October 2026
Original website title
aws-samples/sample-genai-on-eks-starter-kit · Official homepage title · retained in its source language