System Requirements

DeepSearch does not require specific hardware or configuration - it’s primarily a CPU/RAM/disk-based workload.

Here is what we recommend as the minimum baseline:

  • 12 CPU cores

  • 32 GB of RAM

  • 200 GB for an Enterprise Nucleus Server (SSD’s are recommended for the best performance.) - Disk space should be extended as needed.


The majority of disk space will be consumed by the Elastic Search / OpenSearch index.

Ultimately, we recommend monitoring the installation, and adding resources as required.

Please review the Elastic Search System requirements for configuration of the Elastic Search / OpenSearch cluster.


Installation of DeepSearch stack requires:

  • A working installation of an Enterprise Nucleus Server

  • An instance of Elastic Search or OpenSearch service. Please refer to Search Backend Configuration for more information.


The DeepSearch service stack is shipped in two ways as a Helm chart and as a Docker Compose stack to match the current shipment and distribution method of Enterprise Nucleus Server. Please refer to the following documentation for both Helm and Docker Compose installations.

Below you will find two sets of deployment documentation. The first corresponds to the latest General Availability (GA) release, whereas the latter to the latest Public Beta release for Early Access customers.

Release Notes

2022.2.1 (General Availability)

  • Released 05/01/2023

  • Vulnerability fixes based on security analysis

  • Components updates:

    • NGSearch 2.1.1

    • DeepSearch 2.1.1

    • Projections 1.0.1


  • Released 11/30/2022

  • Search service:

    • Observability and telemetry performance improvements

    • Search backend performance improvements (more than 2x speed-up)

    • Add connection retry delay to the storage client

  • Projection service:

    • Replaces previous integrated implementation

    • Performance and scalability improvement

  • Storage service:

    • Removed discovery registration

    • All services now connect to the Storage service directly

  • Cache service:

    • HTTP support for scalability improvement

    • Added health and readiness checks

    • Support for receiving data from Omniverse Farm agents (required Omniverse Farm Agent 103.5 and greater)

  • OpenSearch backend: rely on orjson serializer instead of default json serializer (~x3 speed-up in serialization time)

  • Bug fix: Return images for non-KNN queries (OM-72745)

  • Various dependency updates based on security analysis

  • Docker-compose deployment: Single deployment for DeepSearch and NGSearch

  • Helm chart deployment: initial release