What is the HPC Platform?

Qarnot's HPC platform is a cloud-based solution designed specifically for scientific computing, with a strong focus on Computer Aided Engineering (CAE) simulations. This high-performance computing platform allows users to deploy computing clusters on demand, providing the flexibility needed to run complex simulations without requiring advanced IT expertise. The platform aims to allow access to powerful computational resources, with the specific needs of engineers and researchers working on intensive simulation tasks in mind.

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Key Features

User-Friendly Access: No specialized IT skills are needed to leverage the platform’s capabilities, making it accessible to a all levels of experience and expertise in an engineer team.
Cloud-Based Deployment: The platform is entirely cloud-based, enabling engineers to access computing resources from anywhere.
Scalability and Flexibility: Users can configure computing clusters as needed, ensuring the right level of resources for each simulation task.
Eco-Friendly Approach: Qarnot’s HPC platform integrates an environmentally conscious design, optimizing energy use and reducing the carbon footprint of high-performance computing.

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Use Cases

Scientific and Engineering Simulations

Engineering simulations. It enables users to:

Deploy on-demand clusters for fluid dynamics calculations.
Run CAE software directly in the cloud without local hardware constraints.
Iterate quickly through multiple design and simulation cycles to refine results.

Computational Flexibility

Qarnot’s HPC platform provides independent access to computing resources, enabling:

Remote execution of simulations, allowing engineers to work from any location.
Efficient resource management, ensuring that teams can dynamically allocate computing power as needed.
The ability to handle multiple projects simultaneously without hardware limitations.

Prototyping and Development

For engineers and developers who need to test and refine their models quickly, the platform supports:

Rapid parameter adjustments and iterative testing.
Seamless transitions from local testing environments to full-scale cloud-based simulations.
Interactive management of computing clusters, offering real-time control over computational tasks.

Advanced Simulation Capabilities

The platform is designed to accommodate complex and resource-intensive simulations by offering:

The ability to scale mesh complexity dynamically for more detailed analyses.
Mechanisms to handle computational overflow efficiently, ensuring smooth execution of large-scale simulations.
Support for testing multiple simulation scenarios within a single workflow, improving overall efficiency and accuracy.