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Deployed on AWS
AWS Free Tier
Amazon EC2 running Microsoft Windows Server with the NVIDIA GRID driver enables applications to benefit from GRID features, including four 4K monitors, up to 10 H.265 (HEVC) 1080p30 streams, and up to 18 H.264 1080p30 streams per GPU for faster video frame processing and improved image fidelity.
Overview
Amazon EC2 running Microsoft Windows Server is a fast and dependable environment for deploying applications using the Microsoft Web Platform. It provides a stable, secure, and high-performance execution environment for the NVIDIA GRID driver that supports streaming for four monitors with resolutions of up to 4K (4096x2160), hardware encoding to support up to 10 H.265 (HEVC) 1080p30 streams, and up to 18 H.264 1080p30 streams per GPU for faster video frame processing and improved image fidelity. This enables 3D rendering and 3D visualization applications, graphics-intensive remote workstations, video encoding, and virtual reality applications.
Highlights
- Amazon EC2 makes it easy to start and manage your Windows-based instances.
- Amazon EC2 running Windows Server provides seamless integration with existing Amazon EC2 features like Amazon Elastic Block Store (EBS), Amazon CloudWatch, Elastic-Load Balancing, and Elastic IPs.
- Use NVIDIA GRID features including four 4K monitors, up to 10 H.265 (HEVC) 1080p30 streams, and up to 18 H.264 1080p30 streams per GPU for faster video frame processing and improved image fidelity.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Win2016 10
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. 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.
Dimension | Cost/hour |
|---|---|
g3.4xlarge Recommended | $0.00 |
t3.micro AWS Free Tier | $0.00 |
c5d.9xlarge | $0.00 |
x2iedn.xlarge | $0.00 |
c5d.4xlarge | $0.00 |
c5d.large | $0.00 |
t3.large | $0.00 |
x2iedn.4xlarge | $0.00 |
t3.2xlarge | $0.00 |
t3.medium | $0.00 |
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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
Changes:
- AWSPowerShell v4.1.915
- AWS NVMe v1.7.0
- EC2Launch v1.4.6
- Windows Security Updates current to October 14th 2025
Additional details
Usage instructions
You can connect to Amazon EC2 Windows instances using an RDP client or using Fleet Manager. To learn more, please visit the technical documentation (https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/connecting_to_windows_instance.html ).
Resources
Vendor resources
Support
Vendor support
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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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Customer reviews
Jonas Borge
It simply solves the problem definitively!
Reviewed on Feb 03, 2018
Review from a verified AWS customer
I have great experience in using AMI's with GPU, to render in 3ds max and Unreal Engine 4. I have already used all the others, but this one is by far the best of all. The performance is incredible, I almost did not experience lags, but I access more than 8,000km away. And sometimes the connection moves and everything else was in real time. I was able to save hundreds of hours of rendering in just 36 hours of use. I recommend to all professionals who urgently need to solve some heavy rendering process and etc ... I spent about $ 350.00, but I saved a lot more, and above all I managed to deliver the project, which demanded a lot of memory and a lot of cpu. At peak I used 150gb of memory and all 64cpus at 100%, it was amazing!