Community
Select to view content in your preferred language

Looking for Computer Recommendations for GIS & LiDAR Processing

1367
2
02-05-2025 06:13 AM
GISUSER6
by
Regular Contributor
‎02-05-2025 06:13 AM

I’m in the market for a new computer that can efficiently handle large GIS databases in ArcGIS Pro, as well as process LiDAR datasets and other large spatial datasets. I'm looking for recommendations for:

1.  A system optimized for ArcGIS Pro – Needs to smoothly handle large geodatabases, spatial analysis, and 3D rendering.

2. A system for LiDAR processing – Capable of handling intensive point cloud processing in software like LAStools, Terrasolid, or Global Mapper.

Key specs I’m considering:
High-performance CPU
Ample RAM 
Dedicated GPU 
Fast storage 

If you’re running similar workflows, I’d love to hear what setups work best for you! Any insights on balancing cost vs. performance would be great. I have looked at the ArcGIS Pro system requirements page but I would like to hear from folks who are actively using computers that they like.  Thanks in advance!

2 Replies
Sara_Courter
by Esri Contributor
Esri Contributor
Thursday

Hello @GISUSER6 ,

I saw your question about hardware recommendations while doing my own research, and I wanted to share some updated insights that might help, especially when handling large geodatabases and intensive point cloud workflows.

First, I always recommend reviewing the ArcGIS Pro 3.7 system requirements documentation for the most up-to-date insights.

Below is a summary of the minimum and optional hardware specs I would recommend for LiDAR data processing in ArcGIS Pro:

CPU (Processing)

  • Cores: 8+ cores.
  • Clock Speed: 3.5 GHz or higher.

RAM (Memory)

  • Minimum: 32 GB.
  • Optimal: 64 GB (more RAM allows for smoother processing).
  • One data scientist at Esri uses 128 GB for the densest point clouds.

GPU (Graphics Card)

  • Type: Dedicated, high-performance GPU.
  • VRAM: 8 GB or more. Pro uses GPU acceleration for 3D visualization and some spatial analysis. For large point clouds, a powerful GPU is essential.
  • NVIDIA RTX 4070 or higher (with at least 12GB VRAM). Professional LiDAR and 3D scanning workflows rely heavily on NVIDIA's CUDA technology to compute spatial relationships and build geometry live.
  • Tip: Avoid AMD GPUs, as they lack compatibility with most professional scanning software.

Storage

  • Capacity: 1 TB or more.
  • NVMe SSD recommended (much faster than traditional SSDs for reading/writing large files and temporary processing files).

 

I hope this information helps!

0 Kudos