Sold by: NVIDIA
Deployed on AWS
The NVIDIA Omniverse™ Development Workstation (Windows) provides a pre-configured environment containing the software and drivers required to accelerate Omniverse development.
Overview
The NVIDIA Omniverse™ Development Workstation (Windows) 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™ Developer Workstation 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
Win2025 Windows Server 2025
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 is free, so you pay only for the AWS compute instance you run it on, billed hourly. You choose from three GPU instance families: g6e, g7e, and g7. Within each family, sizes scale from xlarge up to 48xlarge. Larger sizes give you more GPU, CPU, and memory resources per hour. Pick a size based on the workload you plan to run. All options bill by the hour, so cost tracks the hours each instance runs. There is no upfront commitment or term.
Top-of-mind questions for buyers
Each family maps to a different underlying AWS GPU hardware generation. Within any family, sizes run from xlarge up to 48xlarge. Bigger sizes give you more GPU, CPU, and memory per hour. Choose the family and size that match the workload you plan to run.
Hourly software charges accrue only while the instance runs. Fully stopped instances stop accruing hourly software cost. Because the software itself is free, you pay only for the AWS compute hours. Note that AWS may still bill underlying storage for a stopped instance.
Larger sizes carry a higher per-hour rate because they include more GPU, CPU, and memory. You pay that rate for every hour the instance runs, regardless of how heavily you use the resources. Cost tracks both the size you pick and the hours it runs.
docs.omniverse.nvidia.com
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Vendor refund policy
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 (Windows)- 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
Windows only: Connect to the running instance using NICE DCV to display the desktop GUI:
- To get your Windows Administrator password
- On the Instances page select your new instance and then click the Connect button
- On the Connect page click the RDP Client tab then click Get Password
- On the Get Windows Password page click the Upload private key file button and browse to your .pem file
- Click the Decrypt password button
- Copy the password from the Connect page
- Copy the Public IP Address of your instance from the Instance summary panel
- 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 Administrator as the username in the Username field
- Enter the password that was generated 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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