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Rocky 9 Remote Desktop with high-end NICE DCV Remote 3D experience - includes NVIDIA GPU GRID performance drivers
Overview
NICE DCV is a high-end remote desktop protocol that enables user to securely access remote desktop or application sessions, including 3D graphics applications hosted on servers with high-performance 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 significantly by supporting multiple simultaneous full-performant 3D Linux sessions from one high performance GPU server.
NICE DCV ROCKY 9 Desktop supports high end remote 3D access for e.g. M&E artists, HPC pre-/post-processing applications. Includes support for remote USB devices and file transfer. NVIDIA drivers pre-installed for optimal remote 3D experience.
On AWS, NICE DCV provides the streaming protocol e.g. used by Workspaces, Amazon Appstream 2.0, AWS RoboMaker and Nimble Studio.
This AMI supports g3, g4dn and g5 instances with latest nVidia GRID drivers.
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.
- ROCKY 9 desktop with full superuser access to add and manage own applications. Leverages high NVIDIA cloud GPUs.
Details
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
OtherLinux 9.1
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 |
|---|---|
g4dn.xlarge Recommended | $0.06 |
g6.48xlarge | $1.35 |
g5.48xlarge | $1.50 |
g6.16xlarge | $0.35 |
g5.12xlarge | $0.48 |
g6.24xlarge | $0.68 |
g4dn.8xlarge | $0.20 |
g5.24xlarge | $0.78 |
g6.xlarge | $0.10 |
g6e.8xlarge | $0.45 |
Dimensions summary
You pay by the hour for a remote 3D desktop image running on your chosen NVIDIA-GPU EC2 instance. Pricing has no upfront commitment and follows usage. Each dimension maps to one instance type across the g3, g4dn, g5, g6, and g6e families. Rates scale with the instance size, from xlarge up to 48xlarge, so bigger instances with more GPU, CPU, and memory cost more per hour. You select the instance that fits your workload. Separate EC2 infrastructure charges from AWS apply on top of these software rates.
Top-of-mind questions for buyers
Each hourly rate covers one running EC2 instance of the matching type with the pre-built Rocky 9 desktop image and NVIDIA 3D drivers. The DCV software is licensed by concurrent desktops created, using a floating license. You can run multiple 3D desktops on one instance, sharing its GPU, cores, and memory.
The hourly software rate meters running instance time only. When you stop an instance, the software charge stops accruing. Underlying AWS storage fees for the disk may still apply while the instance is stopped. You only pay the software rate while the instance runs.
You pay a higher hourly rate by choosing a larger instance size, such as moving from xlarge to 24xlarge or 48xlarge. Larger instances add GPU, CPU, and memory, which support more concurrent 3D desktops. One GPU with 16GB can support roughly 10-12 concurrent desktops if cores and memory allow.
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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 2025.0-18131. More information can be found here: https://www.ni-sp.com/1-10-2024-nice-releases-dcv-2024-0-including-new-features/ . OS updates and g6 support.
Additional details
Usage instructions
- Make sure the instance security groups allow inbound traffic to TCP and UDP port 8443 and TCP port 22.
- Connect to your remote machine with ssh -i <your-pem-key> rocky@<public-dns>
- Set the password for the user "rocky" with 'sudo passwd rocky'. This is the password you will use to log in to DCV.
- Create a DCV virtual session using the command 'dcv create-session --storage-root %home% session1' including file transfer support, 'session1' is the session name (https://docs.aws.amazon.com/dcv/latest/adminguide/managing-sessions.html )
- Connect to your remote machine with the NICE DCV native client or web client at https://<public_dns>:8443
Connecting via QUIC/UDP for highly interactive media remote desktop experience and in case of difficult network conditions is the default. In the DCV client connection settings you can chose to use TCP as well.
The ROCKY desktop will provide access to applications to the upper left.
More information on how to connect: https://www.ni-sp.com/how-to-connect-to-your-aws-cloud-server-with-nice-dcv/
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.
Updated weekly
By NI SP - High-End Remote Desktop and HPC
By Arara Solutions
By Amazon Web Services
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AI generated from product descriptions
Remote Desktop Protocol
NICE DCV high-end remote desktop protocol enabling secure access to remote desktop and application sessions with 3D graphics support on GPU-accelerated servers
GPU Support
Support for g3, g4dn, and g5 instances with pre-installed NVIDIA GRID drivers optimized for remote 3D graphics performance
Multi-Monitor and Device Support
Native clients for Windows, Linux, and MacOS supporting up to 4 monitors at 4K resolution each, USB redirection for 3D mice and USB storage devices, and remote USB device access
Encryption and Security
TLS encrypted connection for secure remote desktop access with support for remote file transfer capabilities
Multi-Session Capability
Support for multiple simultaneous full-performance 3D Linux sessions from a single high-performance GPU server to reduce session costs
Remote Desktop Protocol
NICE DCV for remote access with high-performance remote desktop and application streaming capabilities
Security Protocol
TLS protocol encryption for securing both pixels and end-user inputs in remote sessions
Desktop Environment
Gnome graphical user interface configured for remote access
Operating System
Ubuntu 22.04 LTS as the base operating system
Network Optimization
Optimized for remote access over the Internet with efficient data transmission
Remote Display Protocol
High-performance remote display protocol (NICE DCV) for secure remote desktop and application streaming delivery
GPU Compute Drivers
Pre-installed and configured NVIDIA Tesla drivers optimized for compute workloads including machine learning and high-performance computing applications
Graphics and Animation Support
Optimized for high-performance graphics, animation, and scientific computing activities on GPU-accelerated EC2 instance types
Compute Acceleration
Support for GPU-accelerated computational tasks including parallelized floating-point calculations and fast Fourier transforms
Standard contract
No
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