VIDEO: Reality Capture & Local AI Inference: Turning Massive Data into Usable Models

As point clouds reach billions of data points and image sets grow into terabytes, the bottleneck isn’t capture — it’s processing. In this Cadalyst SmartCast, we explore how AI-driven reality capture is transforming massive datasets into usable, decision-ready models — and why local GPU performance is now mission-critical.

In this episode:

• Why reality capture is fundamentally an AI workload
• How local inference reduces rework and speeds validation
• What radiance fields and Gaussian splatting mean for AEC workflows
• Why workstation-class GPUs change what’s possible on-site

Reality capture is moving beyond passive documentation. With GPU-accelerated AI running locally, engineers can segment point clouds, validate scans, generate meshes, and build photoreal 3D environments — without waiting.

Featuring insights on Dell Pro Max and Precision workstations powered by NVIDIA RTX PRO GPUs.

Learn more:

Dell Pro Max & Precision Workstations

This episode of Cadalyst SmartCasts was produced in cooperation with Dell Technologies and NVIDIA.