ArcGIS Pro System Requirements – The Complete Guide (2025)

Everything you need to choose the right CPU, GPU, RAM, and storage for smooth 2D, 3D, and 4D GIS workflows—plus recommended ArcGIS Pro workstations.

ArcGIS Pro is a modern, high-performance geographic information system (GIS) platform used for cartography, spatial analysis,
imagery and remote sensing, and enterprise data management. Because it renders complex maps and 3D scenes while analyzing large datasets,
the hardware you choose directly impacts performance and stability. This guide translates ArcGIS Pro system requirements into
practical buying advice—so you can build or buy a workstation that meets today’s needs and scales for tomorrow.

Prefer a turnkey solution? Explore our
ArcGIS Pro Workstation
and our broader
Photogrammetry & GIS Workstations.
For a concise checklist of specs, see our
ArcGIS Pro System Requirements page.

Processor (CPU): What’s Best for ArcGIS Pro?

ArcGIS Pro uses a moderate number of CPU cores and benefits heavily from higher single-core clock speed.
For most users, 8–10 modern cores with strong per-core performance is the sweet spot.

• Minimum: 2 cores @ 2.5 GHz or higher.
• Recommended: 8+ cores with high boost clocks.
• Great 2025 option: Intel Core Ultra 9 285K (8 P-cores + 16 E-cores) for fast interactive work plus multitasking.

Power users handling massive 3D city models, extensive raster processing, or enterprise geodatabases may prefer
workstation-class platforms like AMD Ryzen Threadripper PRO or Intel Xeon for more memory capacity, PCIe lanes,
and sustained performance under heavy loads.

Video Card (GPU): Visualization vs. Analytics

The right GPU depends on how you use ArcGIS Pro. Basic 2D mapping and light 3D don’t require an extreme GPU,
but advanced 3D, machine learning, deep learning, and certain spatial analytics benefit from CUDA acceleration on NVIDIA GPUs.

• Basic visualization: Mid-range GPU with ?4GB VRAM.
• Serious 3D & visualization: NVIDIA GeForce RTX 5070 / RTX 5080 with 12–16GB VRAM.
• AI/Deep Learning/Analytics: NVIDIA RTX PRO (workstation) GPUs; up to 96GB VRAM for extreme datasets.

If your projects include neural network-based classification, object detection in imagery, or accelerated spatial analysis,
prioritize an NVIDIA RTX card with sufficient VRAM for your dataset size.

Memory (RAM): How Much Does ArcGIS Pro Need?

Large rasters, complex vector layers, and multi-map layouts can push memory usage quickly. Insufficient RAM forces disk paging,
which slows everything down.

• Minimum: 16GB
• Recommended: 32GB
• Heavy workflows: 64GB or more (especially for imagery, LiDAR, and multi-app pipelines)

Our ArcGIS Pro-focused builds start at 32GB and can be configured higher for research labs and enterprise teams.

Storage (Drives): NVMe First, Then Tier for Capacity

Storage affects project load times, geoprocessing speed, and overall responsiveness. We recommend a tiered approach:

• OS & Applications: High-speed NVMe SSD for ArcGIS Pro and companion software.
• Active Projects & Data: Secondary SSD (SATA or NVMe). Keeps data isolated and portable.
• Archive & Backup: High-capacity HDD or NAS with redundancy for long-term storage.

Separating the system drive from your data drive improves reliability (easier OS reinstalls) and flexibility (simpler migrations).

ArcGIS Pro Recommended Specifications (Balanced Build)

What You Can Do with ArcGIS Pro (and the Hardware That Helps)

• Exploration & Visualization: Smooth 2D/3D navigation with RTX-class GPUs and high-clock CPUs.
• Cartography & Design: Crisp labeling and complex layouts benefit from extra RAM and fast NVMe storage.
• Imagery & Remote Sensing: GPU acceleration and 64GB+ RAM accelerate raster processing and classification.
• Analytics & Data Science: CUDA-capable NVIDIA GPUs speed up deep learning and spatial modeling.
• Data Management: Reliable SSD tiers and NAS improve multi-user geodatabase performance and backups.
• Sharing & Publishing: Faster hardware shortens time to publish web maps/services to ArcGIS Online or Enterprise.
• Customization & Automation: Python and ModelBuilder workflows scale with CPU and memory resources.

Working with drones, photogrammetry, or LiDAR? See our
Photogrammetry & GIS Workstations
for configurations tailored to high-resolution datasets.

VRLA Tech ArcGIS Pro Workstations

Our systems are engineered for ArcGIS Pro’s real-world demands and validated with current releases:

• High-performance CPUs (Intel Core Ultra, AMD Threadripper PRO)
• NVIDIA GeForce RTX & RTX PRO GPUs (12–96GB VRAM)
• 32–128GB DDR5 (ECC options available)
• Fast NVMe SSDs plus optional NAS integration
• 2-year parts & labor warranty and lifetime support

ArcGIS Pro System Requirements: Key Takeaways

• ArcGIS Pro CPU requirements: prioritize high single-core speed; 8–10 cores recommended.
• ArcGIS Pro GPU requirements: NVIDIA RTX with 12–16GB VRAM for 3D; RTX PRO for AI/deep learning.
• ArcGIS Pro RAM requirements: 32GB standard; 64GB+ for large imagery and multi-app workflows.
• ArcGIS Pro storage: NVMe SSD for OS/apps; secondary SSD for projects; HDD/NAS for backups.
• Best ArcGIS Pro workstation: balanced CPU/GPU, expandable RAM, and fast tiered storage.

ArcGIS Pro Hardware FAQ

Conclusion

Meeting the right ArcGIS Pro system requirements ensures smooth navigation, faster geoprocessing, and fewer crashes—whether you’re producing
professional cartography, analyzing high-resolution imagery, or publishing enterprise web maps. Build confidently with balanced CPU/GPU resources,
ample RAM, and a tiered storage strategy.

Ready to configure your system?
View our ArcGIS Pro Workstation
or browse our
Photogrammetry & GIS Workstations
and the summarized
ArcGIS Pro requirements.