As photogrammetry projects scale up, combining cloud computing and distributed processing with Correlator3D enables large datasets to be handled efficiently without heavy hardware investments. This webinar explores real-world workflows, performance boosts, and practical strategies for faster, high-quality mapping in large-scale projects.
Register here: https://hubs.ly/Q03ZZbdQ0
Key Topics Covered
- Running Correlator3D on cloud platforms like AWS and Azure
- Speed gains from distributed processing across multiple machines
- Dynamic scaling with cloud VMs for large projects
- Real-time monitoring and automatic task reassignment
- Cost optimization and performance best practices in the cloud
