Sold by: Techlatest.net
Deployed on AWS
This product has charges associated with it for the seller-provided value-added configuration, including a preconfigured XFCE graphical desktop environment with XRDP remote desktop access, Firefox, Visual Studio Code, and Fish shell on Ubuntu 26.04. A cloud-ready Ubuntu 26.04 LTS image with NVIDIA graphics capabilities for AI development, deep learning, simulation, visualization, and other GPU-dependent applications.
Overview
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Ubuntu 26.04 desktop
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Nvidia-smi
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Firefox
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VScode
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Terminal
This product has charges associated with it for the seller-provided value-added configuration, including a preconfigured XFCE graphical desktop environment with XRDP remote desktop access, Firefox, Visual Studio Code, and Fish shell on Ubuntu 26.04
Important: For step by step guide on how to setup this vm , please refer to our Getting Started guide
Ubuntu 26.04 LTS with NVIDIA GPU Support
Ubuntu 26.04 LTS with NVIDIA GPU support provides a cloud-ready Linux environment for GPU-accelerated workloads. It is designed for deployment on supported cloud instances with compatible NVIDIA GPUs and provides a flexible foundation for running GPU-enabled applications.
Key Features
Common Use Cases
Ubuntu 26.04 LTS with NVIDIA GPU support provides a flexible foundation for deploying GPU-enabled applications and workloads that benefit from NVIDIA GPU acceleration.
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Highlights
- Ubuntu 26.04 LTS for High-Performance GPU Computing
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04 LTS
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
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
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 | $0.08 |
g4dn.16xlarge | $0.08 |
p3.8xlarge | $0.08 |
g3.16xlarge | $0.08 |
g5.xlarge | $0.08 |
g4dn.2xlarge | $0.08 |
g4dn.4xlarge | $0.08 |
g5.4xlarge | $0.08 |
p4d.24xlarge | $0.08 |
g3.8xlarge | $0.08 |
Dimensions summary
You pay by the hour based on the AWS GPU instance type you run. The 20 options are not feature tiers. They map to different NVIDIA GPU instance families, including G3, G4dn, G5, P2, P3, P4d, and P5 sizes. Each instance type carries its own hourly rate. Larger instances with more GPUs, memory, and compute cost more per hour than smaller ones. You choose the size that fits your workload, and your cost scales with the instance you select and the hours you run it.
Top-of-mind questions for buyers
One hour covers the software license running on the AWS GPU instance you launch. Billing counts each hour the instance runs. Each instance type carries its own hourly rate tied to its GPU count, memory, and compute size. You pay the AWS infrastructure charge separately.
Software charges meter running hours only. A fully stopped instance does not accrue the hourly software rate. You may still pay underlying AWS storage fees for attached volumes while stopped. Charges resume when you start the instance again.
Each instance type bills at its own hourly rate. Switching to a type with more GPUs, memory, or compute raises your per-hour cost. Switching to a smaller type lowers it. You change cost by choosing a different type at launch, not through automatic tiers.
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Vendor refund policy
Will be charged for usage, can be canceled anytime and usage fee is non refundable.
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
first release
Additional details
Usage instructions
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On the EC2 Console page, instance is up and running. To connect to this instance through putty, copy the IPv4 Public IP Address. (refer Putty Guide available at https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/connect-linux-inst-from-windows.html for details on how to connect using putty/ssh).
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Open putty, paste the IP address and browse your private key you downloaded while deploying the VM, by going to SSH- >Auth->Credentials , click on Open.
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Login as ubuntu user.
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Update the password of ubuntu user using below command : sudo passwd ubuntu
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Once ubuntu user password is set, access the GUI environment using RDP on Windows machine or Remmina on Linux machine. Copy the Public IP of the VM and paste it in the RDP. Login with ubuntu user and its password.
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Start using Ubuntu 26.04 and preinstalled tools and apps using Graphical User Interface
Please visit Getting Started Guide for step by step guide on how to provision and connect to this VM.
Support
Vendor support
Email: info@techlatest.net
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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