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.
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