Sold by: NVIDIA
Deployed on AWS
The NVIDIA Omniverse™ Development Workstation (Linux) provides a pre-configured environment containing the software and drivers required to accelerate Omniverse development.
Overview
The NVIDIA Omniverse™ Development Workstation (Linux) on AWS accelerates building Omniverse apps and tools. Using this AMI, deploying a virtual workstation for Omniverse development is quick and easy, removing the time and complexity of configuring individual software packages and GPU drivers.
NVIDIA Omniverse™ Development Workstation (Linux) includes essential development tools to build on the Omniverse platform:
- Visual Studio Code
- NVIDIA NGC CLI
- Docker
- Git
- Certified NVIDIA GPU drivers
This AMI uses the EC2 g6e instance featuring NVIDIA L40s RTX and the g7e instance featuring NVIDIA RTX Pro 6000 GPUs.
This AMI is free to use for testing and development only and cannot be used in production. (AWS infrastructure costs will apply.)
The NICE DCV client is required to connect to the instance.
Highlights
- This image includes all the essential development tools and drivers for NVIDIA Omniverse development, pre-configured and ready to use.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
The software itself is free. You pay only for the AWS GPU instance you run it on, billed per hour. Choose from three instance families: g6e, g7e, and g7. Within each family, sizes range from 2xlarge up to 48xlarge. Larger sizes provide more compute and memory, so the hourly rate rises with instance size. Pick the family and size that match your workload. You can switch sizes as your needs change since billing is hourly with no commitment.
Top-of-mind questions for buyers
Each name refers to an AWS GPU instance type. The software runs on the GPU hardware in that instance. Families differ in GPU model, compute power, and memory. Within a family, the number before "xlarge" indicates size, so higher numbers give more vCPUs, memory, and GPU capacity.
Hourly software charges apply only while the instance runs. A fully stopped instance stops accruing software charges. However, stopped instances may still incur underlying AWS storage fees for attached disks. The software itself is free, so you pay only for the running instance-hours.
Billing meters actual running hours with no upfront commitment. The hourly rate rises with instance size, since larger sizes give more compute and memory. You can start small and move to a larger size later, since there is no fixed term tying you to one instance.
docs.omniverse.nvidia.com
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No refund.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
NVIDIA Omniverse Development Workstation (Linux)- 2026 Q2 Refresh
Additional details
Usage instructions
Prerequisites: To create and use Workstation instances you will need:
- AWS Account
- AWS Key Pair created for authentication
- AWS security group to control access to ports
- Port 22 for SSH
- Port 8443 for connecting with NICE DCV
- PuTTY application is installed. This enables SSH connection to the AMI instance from Windows.
- NICE DCV client installed
Launch the AMI: Navigate to the AWS Omniverse AMI marketplace product page
- To create your own AWS instance, click the View purchase options button
- If you have not already subscribed to the software, you will need to Accept Terms the first time
- When the subscription is completed, click the Continue to Configuration button
- On the Configure this software page list, click the Continue to Launch button
- On the Subscribe to page click Launch your software
- Under Setup click the Launch from EC2 Console option
- Under Launch click the Launch from EC2 button
- On the Launch an instance page
- Name your instance
- The AMI from catalog is automatically set to the correct AMI (no action required)
- Choose the Instance type. (g6e, g7, and g7e instance types are supported.)
- Set Key Pair (login) select or create your Key Pair file. For Linux use .ppk. For Windows use .pem
- Set Network settings select either Select existing security group or Create security group option. For more information, select the info link
- Set Configure storage to a minimum of 512GiB
- In the Summary section on the right side of the page, click Launch instance
- On the Instances page, select the new Instance ID to display the information panel
- It takes a few minutes for the instance state to change from Initializing to Running
Linux only: Use PuTTY to connect to the running instance and NICE DCV to display the desktop GUI:
- Copy the Public IP Address of your instance from the Instance summary panel
- Start the PuTTY application
- Paste the Public IP address in the Host Name (or IP address) field
- Under Category click Connection > SSH > Auth > Credentials then browse to your Key Pair location containing the .ppk file
- Click Open to connect to the instance
- When prompted to login as enter ubuntu as the username
- In order to RDP into the AMI using NICE DCV, the default password must be changed using the sudo passwd ubuntu command. The output received should following the format Session: console (owner:ubuntu type:console)
- To ensure that a DCV session is running on the intended AWS instance enter the sudo dcv list-sessions command
- Start the NICE DCV client application
- Enter the public IP address assigned to your AWS instance in the Hostname/IP Address field in NICE DCV, then click Connect
- Click Trust and Connect when prompted
- Enter ubuntu as the username in the Username field
- Enter the password that was previously set in the Password field
- Click Login
Resources
Vendor resources
Support
Vendor support
Free Community support for NVIDIA Omniverse™ Development Workstations is available on the NVIDIA Developer Forum (Omniverse) https://forums.developer.nvidia.com/c/omniverse/300 and
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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