Explore the optimal compute hardware selection for hydraulic and environmental modelling in this informative webinar. Gain insights into GPU computing, focusing on key issues and challenges in selecting, configuring, and using compute environments. Learn about GPU specifications, metrics, and NVIDIA architectures, as well as the importance of GPUs in improving workflow efficiency. Discover the differences between sharing on VDI and MIG, and understand other relevant hardware considerations. Examine benchmarks, model design, licensing, and ownership aspects, while staying updated on current trends in the field. Benefit from a comprehensive Q&A session and get information on upcoming training opportunities with AWS and TUFLOW. This webinar is tailored for IT managers, modellers, and project managers seeking to enhance their ability to deliver modelling results on budget and on time.
Overview
Syllabus
- Presenter Intros | Polls
- Overview | TUFLOW GPU
- Platform | Why GPUs matter most
- GPU specs and metrics
- Sharing on VDI vs. MIG | Other hardware
- Benchmarks | NVIDIA GPU architectures
- Model design, license, ownership | Trends
- Q&A
- upcoming training with AWS & TUFLOW
Taught by
Australian Water School
