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Ubuntu 20 Remote Desktop with high-end NICE DCV Remote 3D experience - includes NVIDIA GPU 3D performance drivers and CUDA Toolkit.
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.
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. The QUIC/UDP protocol is enabled as well.
NICE DCV Ubuntu 20 Desktop supports high end remote 3D access for e.g. HPC or media pre-/post-processing applications. Includes support for remote USB devices and file transfer. NVIDIA drivers pre-installed for high-end remote 3D experience. On AWS, NICE DCV provides the streaming protocol e.g. used by Amazon Appstream 2.0, AWS RoboMaker and AWS Nimble Studio.
Supports latest nVidia driver and CUDA Toolkit.
This AMI supports g4dn, g5, g3 and p3 instance-families.
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 the latest NICE DCV version from AWS.
- Secure TLS encrypted leading-edge 3D remote desktop connection on high-end AMD based cloud GPUs. Includes remote USB support and file transfer.
- Ubuntu 20 desktop with full superuser access to add and manage own applications.
Details
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 20.04
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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
g4dn.2xlarge Recommended | $0.04 |
g4dn.xlarge | $0.03 |
g4dn.12xlarge | $0.07 |
g5.8xlarge | $0.24 |
g6e.xlarge | $0.18 |
g6.4xlarge | $0.15 |
g3.8xlarge | $0.19 |
g6e.4xlarge | $0.30 |
g4dn.16xlarge | $0.08 |
g6e.48xlarge | $3.00 |
Dimensions summary
You pay by the hour for this remote desktop software running on GPU-based EC2 instances. Pricing scales with the instance you select, not with named users. Each dimension maps to one NVIDIA-GPU instance type across several families, such as g4dn, g5, g6, g6e, g3, and p3. Within each family, hourly rates rise as the instance size grows (for example, xlarge through 48xlarge), reflecting more GPU, CPU, and memory. You start and stop instances as needed, so cost tracks actual runtime. Pick the family and size that fit your 3D and CUDA workload.
Top-of-mind questions for buyers
The hourly rate covers this remote desktop software running on your chosen NVIDIA-GPU EC2 instance. You pay the software charge per running instance-hour. The instance itself is billed separately by AWS. The licence is metered by runtime, not by named users, so you can create desktops as needed.
Software charges accrue only while the instance runs. When you stop or terminate the instance, hourly software charges stop. Stopped instances may still incur AWS storage fees for attached volumes, but the software meters running time only. Cost tracks your actual runtime.
Billing follows the instance, not named users. On Linux, one GPU instance can host multiple concurrent 3D desktops for different users sharing the GPU, CPU, and memory. You pay the same hourly rate for that instance regardless of how many people connect to it.
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No refund
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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 driver updated to version 575.57.08 with CUDA 12.9.0. Includes NICE DCV 2024.0-18131. More information can be found here: https://www.ni-sp.com/1-10-2024-nice-releases-dcv-2024-0-including-new-features/ . Security fixes.
Additional details
Usage instructions
Make sure the instance security groups allow inbound traffic to TCP and UDP port 8443 and 22.
To connect you have different options:
Connect with the native NICE DCV Client for best performance
- Download the NICE DCV client from: https://download.nice-dcv.com/ (includes Windows portable client)
- In the DCV client connection field enter the instance public IP to connect.
- Sign in using the following credentials: User: ubuntu. Password: last 6 digits of the instance ID.
Connect with NICE DCV Web Client for convenience
- Connect with the following URL: https://IP_OR_FQDN:8443/, e.g. https://3.70.184.235:8443/
- Sign in using the following credentials: User: ubuntu. Password: last 6 digits of the instance ID.
Set your own password and connect
- Connect to your remote machine with ssh -i <your-pem-key> ubuntu@<public-dns>
- Set the password for the user "ubuntu" with sudo passwd ubuntu. This is the password you will use to log in to DCV
- Connect to your remote machine with the NICE DCV native client or web client as described above
- Enter your credentials and you are ready to rock
With DCV 2021 and later QUIC/UDP will be used automatically together with the DCV client. In the DCV client connection settings you can select TCP as well. Please do not perform an update to a new kernel or higher releases as it might disable the GPU driver.
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 netCUBED
AI generated from product descriptions
Remote Desktop Streaming Protocol
NICE DCV high-performance remote streaming protocol enabling secure access to remote desktop sessions with 3D graphics applications on GPU-accelerated servers
GPU Driver Support
Pre-installed NVIDIA GPU drivers and CUDA Toolkit with support for g4dn, g5, g3, and p3 instance families
Multi-Monitor Display Capability
Native clients supporting up to 4 monitors at 4K resolution each with QUIC/UDP protocol enabled
Peripheral Device Support
USB redirection for 3D mice, USB storage devices, and remote USB device support with file transfer capabilities
Operating System Environment
Ubuntu 20 desktop with full superuser access for application management and customization
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
Browser-Based Access
Jupyter notebooks, RStudio Server, Terminal sessions, and Remote Desktop accessible through web interface without requiring client software installation
Remote Desktop Protocol Support
Native Remote Desktop client connectivity enabling access to full Ubuntu 24.04 Desktop environment with copy-paste and drag-and-drop file upload capabilities
HTTPS Encryption
All web endpoints proxied through HTTPS with strong encryption for secure data transmission
Pre-installed Development Tools
Includes Google Chrome, Visual Studio Code, Docker, and other development utilities for software development and data science workflows
Standard contract
No
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