Sold by: Yobitel
Deployed on AWS
ParaView is an open-source post-processing engine, with additional charges for configuration, automation, and technical support. It provides high-performance 3D data visualization with GPU acceleration, integrated scientific libraries, and remote access via Amazon DCV, making it ideal for simulation, analysis, and engineering workflows.
Overview
ParaView 3D Solutions, a repackaged open-source post-processing visualization engine, offers a GPU-optimized environment on AWS with additional charges applied for configuration, automation, and support. It provides a fully configured scientific visualization platform, pre-installed with GPU-accelerated ParaView on AWS, along with integrated NVIDIA GPU drivers, CUDA support, and MPI capabilities. With Amazon DCV enabling secure, low-latency remote access, this solution allows users to visualize large-scale datasets in real-time using AWS GPU instances. Ideal for CFD, FEA, and other simulation-based workflows, this AMI delivers a powerful remote-access visualization experience from anywhere. Pre-installed ParaView with GPU Support: Includes the latest stable release of ParaView, optimized with CUDA and NVIDIA drivers for accelerated rendering and parallel processing. Amazon DCV Integration: Access ParaView through a responsive, browser-based desktop session with minimal latency and high visual quality. Lightweight Desktop Environment: Launches directly into ParaView via session scripts, reducing overhead and improving load times. Automation Scripts: Pre-configured setup scripts simplify deployment and minimize manual setup. Complete Documentation: Included Step-by-step instructions cover everything from launching your instance to accessing ParaView and running advanced visualizations.
Highlights
- GPU-accelerated ParaView is ready to use within minutes. Skip complex installations and start visualizing large datasets with a fully configured HPC-ready environment.
- Built-in Amazon DCV delivers smooth, interactive remote sessions for real-time scientific visualization perfect for collaborative research and engineering teams.
- Pre-installed automation scripts and a streamlined environment ensure fast instance startup, seamless GPU detection, and efficient visualization session management.
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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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.2xlarge Recommended | $0.07 |
g4dn.12xlarge | $0.07 |
g5.8xlarge | $0.07 |
g6.4xlarge | $0.07 |
g4dn.16xlarge | $0.07 |
g6.8xlarge | $0.07 |
p4d.24xlarge | $0.07 |
p5.48xlarge | $0.07 |
g6.2xlarge | $0.07 |
g5.4xlarge | $0.07 |
Dimensions summary
You pay by the hour for the GPU instance type you run this ParaView visualization platform on. All 22 dimensions bill the same way; they differ only by the underlying AWS EC2 instance you choose. Options span several GPU families, from single-GPU instances up to multi-GPU configurations. Instance size and GPU count drive your hourly rate, so you match the instance to your CFD or FEA workload. Charges appear on your existing AWS bill, and you can start or stop instances as needed. No upfront commitment or fixed term applies.
Top-of-mind questions for buyers
Each dimension maps to one AWS EC2 GPU instance running per hour. Larger instances carry more GPUs and memory. For example, p5.48xlarge runs eight H100 GPUs, while g5.xlarge runs a single A10G GPU. You pay per running instance-hour for the type you launch.
You pay the hourly software rate only while the instance runs. Stopping the instance halts software charges. Underlying AWS storage, such as attached EBS volumes, may still incur fees while the instance is stopped. You can start and stop instances as needed with no fixed term.
There is no automatic upgrade. You choose the instance type at launch, and each type bills at its own hourly rate. To use more GPUs, stop the current instance and launch a different dimension. Instance size and GPU count drive your rate, so match the type to your CFD or FEA job.
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Take advantage of a complimentary 5-day software stack trial period with subsequent pay-as-you-go charges. Please note that refunds will only be issued in the event of identified stack issues. Kindly note that refunds will not be provided for infrastructure failures, downtimes resulting from misconfiguration, or any other issues with AWS infrastructure.
Legal
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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
We proudly introduce the GPU-Optimized ParaView AMI an on-demand scientific visualization solution built for researchers, engineers, and simulation experts. This version emphasizes performance, scalability, and ease of use with pre-installed GPU drivers, Amazon DCV access, and automation scripts for seamless remote visualization and large-scale data exploration.
Additional details
Usage instructions
Refer to our user manual for HPC-Optimized Pack for Paraview 3D Rendering- https://www.yobitel.com/single-post/hpc-optimized-pack-paraview-3d-solutions with step-by-step methods Please contact Yobitel customer support in case you require further assistance. Email: support@yobitel.com
Support
Vendor support
We, Yobitel - Cloud-Native Application Stack and Cloud Consulting Services company, offer Free Training, Post Migration & Go-Live support, and Enhanced care support with AWS Chime 24/7 support to ensure a smooth transition. Our team of experts is well-versed in AWS Managed Cloud Services and provides businesses with the necessary guidance and support to ensure a successful transition to the cloud. Learning Resources: Yobitel - Cloud Native Service Provider Resource URL:
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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