Sold by: netCUBED
Deployed on AWS
Free Trial
Securely access Jupyter notebooks, RStudio Server or a Terminal session from your browser. For additional flexibility, connect to a full-featured Ubuntu 24.04 Desktop environment through your browser or a native client. Ships with the latest versions of Google Chrome, Visual Studio Code, Docker.
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Overview
Image
Login
Image
Desktop Environment
Image
Jupyter Notebooks
Image
RStudio Server
Image
Terminal
Securely access Jupyter notebooks, RStudio Server or a Terminal session from your browser. For additional flexibility, connect to a full-featured Ubuntu 24.04 Desktop environment through your browser or a native Remote Desktop client. This image ships with the latest versions of Google Chrome, Visual Studio Code, Docker and many more.
The workspace is ideal for users who require the power of EC2 instances while using a familiar graphical user interface or their preferred IDE. it provides the perfect starting point for any kind of software development, HCP workloads, data science work or use as a bastion host for your VPC.
No client software needs to be installed to access the remote desktop. All that is required is a modern browser (including Internet Explorer 11) to access the desktop. Additionally, Jupyter, RStudio Server and a Terminal session can be opened through the browser.
The browser interface as well as the remote desktop protocol support copy and paste between the virtual desktop environment and the client. Files can be uploaded using drag and drop. The environment is multi-user capable and supports a large number of concurrent users on appropriately sized instances.
This product is also available as Ubuntu 22.04 with Long Term Support at https://aws.amazon.com/marketplace/pp/B07LBG6YGB .
Highlights
- ACCESS VIA BROWSER: Launch and access Jupyter, RStudio Server, Terminal and Remote Desktop via web interface.
- RDP SUPPORT: access workspace on the go through the remote desktop protocol.
- ALWAYS ENCRYPTED: All web endpoints are proxied through a HTTPS endpoint with strong encryption.
Details
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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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Features and programs
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AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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 |
|---|---|
m5.large Recommended | $0.04 |
i3.large | $0.04 |
i3.8xlarge | $0.08 |
inf1.2xlarge | $0.06 |
m5d.24xlarge | $0.096 |
x1.32xlarge | $0.10 |
m5d.12xlarge | $0.086 |
r5dn.4xlarge | $0.07 |
c5a.2xlarge | $0.06 |
g3.4xlarge | $0.07 |
Dimensions summary
You pay by the hour for the software running on your chosen EC2 instance type. Pricing scales with the instance you pick, not with tiers or feature packs. The listing covers many instance families, including general-purpose (m5, t3), compute-optimized (c5), memory-optimized (r5, x1e), storage-optimized (i3), and GPU or accelerated options (g4dn, p3, inf1, f1). Larger instances carry more CPU, memory, and hardware, so their hourly rate is higher. You select the size that fits your workload. Instance types with less than 2GB of memory are not recommended.
Top-of-mind questions for buyers
You pay the hourly software rate for each running instance you launch. A stopped or powered-off instance does not accrue software charges. You may still owe separate AWS storage fees for attached disks. Hibernation is supported, but the disk must be sized to hold the full RAM.
No. The workspace supports many concurrent users, but you pay only for the running instance, not per user. One instance carries one hourly rate. To handle more simultaneous users, pick a larger instance type rather than paying an added per-person fee.
You select any listed instance type at launch and pay its hourly rate. Instance types with less than 2GB of memory are not recommended for this workspace. Match the size to your development, data science, or GPU workload, since larger instances carry higher hourly rates.
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Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Release notes can be found at https://docs.netcubed.io/products/ubuntu-desktop/release-notes/ .
Additional details
Usage instructions
Launch the image on any of the available instance types. Consider increasing the size of the root EBS volume. Make sure that the attached security group allows traffic on port 80 and 443 if you plan to access the server via the browser interface, and port 3389 if you plan to use the Remote Desktop Protocol. Allow a couple of minutes for the instance to boot. The web interface can be accessed through your browser on the public IP (or private IP for enterprise VPCs) of the EC2 instance (e.g. https://18.245.21.43 where 18.245.21.43 is the public IP address of the instance).
Most browsers will display a certificate warning. This warning is letting you know that the certificate was self-signed instead of signed by a trusted Certificate Authority. You can safely ignore the warning as it doesn't impact the security of the connection by clicking on "Continue to this webpage" (Internet Explorer) or "Advanced" and then "Proceed to website" (Chrome).
The default user is ubuntu and the default password is the instance ID. Alternatively, you can reach your desktop environment through a Remote Desktop Client (such as the Microsoft Remote Desktop Application, preinstalled on Windows and available on the Apple App Store for MacOS). The hostname is simply the public IP (or private IP for enterprise VPCs). Make sure you enter the username and password before you connect. On Windows, click "Show Options" and fill in the username and password.
Resources
Vendor resources
Support
Vendor support
For paid support, email sales@netcubed.de for further information. Free support is provided via support@netcubed.de . For free support, we do not provide a guaranteed response time, however we do our best to respond to questions within 24 hours Monday through Friday. support@netcubed.de
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 netCUBED
By Arara Solutions
By NI SP - High-End Remote Desktop and HPC
AI generated from product descriptions
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
Dual Remote Access Methods
RDP connectivity on port 3389 compatible with Microsoft Remote Desktop, Remmina, and FreeRDP clients, plus web-based browser access on port 8080 requiring no additional client software installation
Operating System and Desktop Environment
Ubuntu 22.04 LTS (Jammy Jellyfish) with Gnome Desktop Environment, supported with security updates through April 2027, and automatic security updates enabled by default
Encryption and Security Protocols
RDP connections encrypted via TLS and web interface served over HTTPS, with configurable AWS Security Groups for restricting ingress to known IP ranges on ports 3389, 8080, and 22
Pre-installed Software Stack
xRDP Server for RDP connectivity, web-based remote access interface, Firefox web browser, and standard Ubuntu system utilities including file browser and system tools
Cloud Integration and Management
Integration with AWS Systems Manager for patch management and Amazon CloudWatch for instance monitoring and usage tracking
Remote 3D Graphics Streaming
NICE DCV high-performance remote streaming protocol enabling secure access to 3D graphics applications on GPU-accelerated servers with support for up to 4 monitors at 4K resolution each
GPU Compute Toolkit
CUDA Toolkit 12.2 with nvcc compiler pre-installed for GPU-accelerated computing and development on NVIDIA GPUs
Neural Network Inference
Llama.cpp support for quantized neural network model inference on g4dn and g5 instances
Container Virtualization
NVIDIA Docker container support for containerized GPU-accelerated applications
Remote Device Access
USB redirection capability for 3D mice and USB storage devices with remote file transfer support over QUIC/UDP protocol
Standard contract
No
Customer reviews
Jallie
Friendly AMI for bioinformaticians
Reviewed on Mar 23, 2020
Review from a verified AWS customer
This AMI provides a quite pain free environment for an analyst in the fields like bioinformatics, with the most popular RStudio and Jupiter Notebook pre-installed. Data and results are protected by password. It's a good solution for sharing analytic environment between a small group of co-workers working on the same internal projects.
Michael
Major Timesaver
Reviewed on Mar 14, 2020
Review from a verified AWS customer
I have been using this image for about a year now, in various versions. Their support is first rate, and friendly. It saved me a lot of time from having to configure and manage aspects of my system, such as the graphical interface, that prior to this, were minor projects on their own. It gives me everything I need to do machine learning, as well. But it's also my daily desktop. Yes,you might be able to do this in your own, but why, when they've covered all the bases for you.