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High-End Remote Desktop for Windows with NICE DCV QUIC/UDP Support and NVIDIA GRID Performance Drivers on G7 graphics-intensive instances (3D Post-Processing, Media & Entertainment, Gaming). Optimized...
Overview
NICE DCV is a high performance remote streaming protocol that enables user to securely access remote desktop or application sessions, including 3D graphics applications hosted on servers with high-performance GPUs.
The QUIC UDP-based transport protocol enables users to run high frame rate, highly dynamic workloads, such as gaming, media workloads experiencing fluid and responsive streaming quality, especially under sub-optimal network conditions.
NVIDIA GRID drivers are pre-installed for best performance and optimally smooth user experience on high-end NVIDIA RTX PRO 6000 Blackwell GPUs.
NICE DCV offers end users a wide range of client devices, including native clients for Windows, Linux, and MacOS operating systems. Native clients support up to 4 monitors at 4K resolution each and the Windows client also supports USB redirection for 3D mice and USB storage devices. In addition, NICE DCV helps customers with remote Linux desktops to reduce session costs by supporting multiple Linux sessions from a single high performance server.
On AWS, NICE DCV provides the streaming protocol e.g. used by Amazon Nimble Studio, Amazon Appstream 2.0 and AWS RoboMaker.
Highlights
- Remote Performance: Responsive and secure streaming experience allowing customers to run graphics intensive applications remotely removing the need for expensive dedicated workstations or transferring large amounts of data. Based on NICE DCV from AWS.
- Secure TLS encrypted high-end 3D remote desktop connection on powerful NVIDIA based cloud GPUs. Includes remote USB support and file transfer.
- Windows Server 2019 desktop with full Administrator access to add and manage own applications. Leverages high NVIDIA RTX PRO 6000 Blackwell GPUs.
Details
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Win2019 Windows
Deployed on AWS
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Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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 |
|---|---|
g7e.2xlarge Recommended | $0.30 |
g7e.24xlarge | $1.70 |
g7e.8xlarge | $0.50 |
g7e.48xlarge | $3.30 |
g7e.4xlarge | $0.40 |
g7e.12xlarge | $0.80 |
Dimensions summary
You pay by the hour for a Windows 3D remote desktop running on your chosen GPU instance size. The six options map to instance sizes in the g7e family: g7e.2xlarge, g7e.4xlarge, g7e.8xlarge, g7e.12xlarge, g7e.24xlarge, and g7e.48xlarge. Each size adds more CPU, memory, and GPU capacity, so the hourly rate scales with the size you select. You pick one size based on your workload; there are no upfront commitments or fixed terms. You are billed only for the hours the instance runs.
Top-of-mind questions for buyers
One hour covers running one Windows 3D remote desktop on your chosen g7e instance size. Each size bundles a set amount of CPU, memory, and GPU capacity. You are billed per hour the instance runs. Larger sizes carry higher hourly rates because they include more compute and GPU resources.
The hourly software charge applies only while the instance runs. A fully stopped instance stops accruing software charges. Underlying AWS storage and other resource fees may still apply for stopped instances, but the software licence meters running hours only.
Billing is tied to the running instance-hours of your chosen g7e size, not to named users. You can create remote desktop sessions as needed on the instance. The GPU and CPU capacity of the size you pick determines how many concurrent sessions it can support.
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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
Includes NICE DCV 2025.0-20103. More information can be found here: https://www.ni-sp.com/dcv-now-supports-amazon-ec2-mac-instances/ . Further security patch provided by Microsoft and optimizations. Support for g7e instances.
Additional details
Usage instructions
- Make sure the instance security groups allow inbound traffic to TCP and UDP port 8443.
- Start the NICE DCV client (Optionally click "Connection Settings" -> Click "Protocol" -> Select Automatic or QUIC in the pulldown menu -> Click "OK")
- Connect to your remote machine by the entering your <public_dns> or external IP address in the address field. Authenticate using username Administrator and password you can find in the EC2 console when clicking the "Connect" option of the instance.
You can also switch to the standard TCP based DCV protocol in step 3) above to compare performance of both protocols and to leverage the best protocol for your use case. In case you are upgrading from a previous AMI version please note that a new DCV client is available as well.
You can also use the DCV web client to connect to DCV at https://public_dns:8443.
Resources
Vendor resources
Support
Vendor support
Technical documentation (https://aws.amazon.com/documentation/dcv/ ) and NI SP Tips and Tricks (https://www.ni-sp.com/nice-dcv-tips-and-tricks/ ). Free support is available through forums (https://forums.aws.amazon.com/forum.jspa?forumID=366 )
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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