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Ubuntu 24 Remote Desktop with high-end NICE DCV Remote 3D experience - includes NVIDIA GPU 3D performance drivers and CUDA Toolkit. NVIDIA Docker support.
Overview
Amazon 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.
Amazon 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 for best interactive performance.
Amazon DCV Ubuntu 24 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 and AWS Workspaces.
Latest version includes CUDA Toolkit 12.6 and nvcc. Includes NIVIDIA DOCKER Container support.
Latest version includes neural network inference support for quantized models via llama.cpp. See Usage Information for more background and https://www.ai-sp.com/how-to-run-a-70b-nn-model-on-a-standard-server/
This AMI with Ubuntu 24 supports g5, g4dn, g3 and p3 (V100) 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 Amazon 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.
- Ubuntu 24 desktop with full superuser access to add and manage own applications. Leverages high NVIDIA GPU cloud GPUs.
Details
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
g4dn.2xlarge Recommended | $0.07 |
g7e.2xlarge | $0.33 |
g6.8xlarge | $0.20 |
g6e.12xlarge | $0.95 |
g6e.24xlarge | $1.50 |
g6e.2xlarge | $0.24 |
g7e.12xlarge | $0.83 |
g7e.24xlarge | $1.65 |
g7e.4xlarge | $0.40 |
g6e.4xlarge | $0.30 |
Dimensions summary
You pay by the hour, and the rate depends on which GPU instance size you run. All dimensions map to NVIDIA-GPU instance families, including g4dn, g5, g6, g6e, g7e, and p3 types. Within each family, sizes range from xlarge up to 48xlarge or metal. Larger sizes carry more GPU, CPU, and memory, so their hourly rate rises accordingly. Nothing is committed upfront. You start and stop instances as needed, and billing tracks the hours each instance runs. Pick the size that matches your 3D and CUDA workload.
Top-of-mind questions for buyers
Each dimension maps to one NVIDIA-GPU EC2 instance running an Ubuntu 24 desktop with DCV and CUDA preinstalled. The size (xlarge through 48xlarge or metal) sets the GPU count, CPU cores, and memory. You pay per hour for each running instance of that size.
Billing tracks the hours each instance runs. When you stop an instance, the hourly software charge stops accruing. Stopped instances may still incur underlying AWS storage fees for attached volumes, but the per-hour desktop charge meters running time only.
DCV supports GPU sharing on Linux, letting multiple 3D desktops share one or more GPUs, CPU cores, and memory on the same physical server. So one running instance can host several concurrent users. You still pay the single hourly rate for that instance size, regardless of user count.
www.ni-sp.com
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Vendor refund policy
No refund. No cost incurred when instance is not running.
Legal
Vendor terms and conditions
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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
Includes NICE DCV 2025.0-20103. More information can be found here: https://www.ni-sp.com/dcv-now-supports-amazon-ec2-mac-instances/ . Updated Cuda 13.1. Supports g7e Instances.
Additional details
Usage instructions
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:
Option 1: Connect with the native NICE DCV Client for best performance
Option 2: Connect with NICE DCV Web Client for convenience
Option 3: Set your own password and connect
With DCV QUIC/UDP will be used automatically together with the DCV native 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.
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/ ). Support is available through https://www.ni-sp.com/contact/ or 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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