Overview
As CFD models grow in size and complexity, engineers are under increasing pressure to deliver accurate results faster without compromising physics fidelity. Ansys Fluent’s native GPU solver offers a step-change in performance, delivering order-of-magnitude speedups compared to traditional CPU-based workflows. But achieving these gains requires more than just simply switching hardware.
What attendees will learn
In this webinar, we’ll walk through practical, field-tested best practices for running Fluent efficiently on GPUs. You will learn:
- How to select the right GPU hardware based on your application and model size
- How to manage GPU memory constraints
- How to configure solver settings to maximize throughput
- How to avoid common pitfalls and get reliable results faster with key workflow considerations such as model compatibility, CPU-GPU mapping strategies, and advanced features like asynchronous monitoring and direct GPU-based post-processing.
- Whether you’re new to GPU computing or looking to optimize existing simulations, this session will equip you with the insights needed to scale your CFD workflows with confidence and accelerate innovation.
Who should attend
- Fluent Users
Speakers
- Luke Munholand
- Amine Ben Hadj Ali
- Theresa Duncan
Date / Time:
June 18th, 2026
11 AM EDT
Venue: Virtual
- Cost:
No reviews available for this learning resource.
