RealityScan workstations built for the scan.

A RealityScan workstation is a desktop computer purpose-built for Epic Games' RealityScan photogrammetry software (formerly RealityCapture). RealityScan converts thousands of overlapping photographs into detailed 3D models, and demands balanced hardware: a high-core-count CPU for image alignment, a CUDA-capable NVIDIA GPU for dense cloud and mesh generation, ample DDR5 memory for large datasets, and fast NVMe storage for out-of-core processing. Without all four working together, a bottleneck in any one component slows the entire reconstruction pipeline.

RealityScan from Epic Games requires Windows 8 or later (or Ubuntu 24.04/Fedora 39 for the CLI Linux build) and a CUDA 3.0-capable NVIDIA GPU. For small to medium projects, a minimum spec is AMD Ryzen 9 9950X with NVIDIA RTX 5070 12GB and 32GB DDR5 RAM. For enterprise-scale datasets and multi-app workflows, the recommended spec is AMD Threadripper 9980X (64 cores) with NVIDIA RTX 5090 32GB and 128GB DDR5 REG ECC RAM. Official Epic Games requirements: dev.epicgames.com/documentation/en-us/realityscan/hardware-and-software-requirements.

RealityScan image alignment is CPU-intensive and benefits significantly from high core counts. AMD Threadripper 9980X (64 cores) is the best choice for large-scale photogrammetry with extremely high image counts, delivering the fastest alignment times. AMD Ryzen 9 9950X (16 cores) is excellent for small to medium projects with strong performance at lower cost. Intel Core Ultra 9 285K (24 cores) is a strong alternative for users preferring Intel's hybrid architecture. The CPU has the largest impact on overall throughput in RealityScan.

RealityScan requires an NVIDIA GPU for CUDA acceleration; without it, mesh and reconstruction functionality is limited or unavailable. NVIDIA GeForce RTX 5080 16GB is the recommended single-card solution for excellent price-to-performance on most projects. NVIDIA GeForce RTX 5090 32GB is the premium option with maximum VRAM headroom for massive image sets and complex texturing workflows. Dual GPU configurations can add roughly 5–13% additional performance, but most users are well served by a single strong card. AMD GPUs are not supported.

RealityScan uses an out-of-core design that keeps RAM requirements modest, but more memory reduces bottlenecks and speeds processing. Rough guidelines by project scale: 2,000 images needs 16GB minimum; 4,000 images needs 32GB; 8,000 images needs 64GB; 16,000+ images needs 128GB. For enterprise workloads and multi-day jobs, 128GB+ DDR5 ECC or REG ECC is ideal. ECC is strongly recommended for sustained reconstructions where a single bit flip could corrupt a long-running job.

RealityScan continuously reads and writes to disk during out-of-core processing, making SSD speed critical. The recommended layout is a 4-tier setup: 1TB NVMe SSD for OS and applications, 1–2TB NVMe SSD dedicated to cache and temporary data, 2–4TB NVMe or SATA SSD for active projects and datasets, and large HDDs or a NAS with RAID for archive and backup. NVMe drives offer substantially higher throughput than SATA SSDs and directly benefit out-of-core photogrammetry workflows.

Multi-GPU configurations in RealityScan typically add only 5–13% additional performance over a single high-end card. Most users are best served by a single NVIDIA GeForce RTX 5080 16GB or RTX 5090 32GB rather than dual lower-tier cards. The exception is enterprise workflows running RealityScan alongside companion tools like Unreal Engine or Blender simultaneously, where a second GPU can help with parallel rendering or asset preview workloads.

The best computer for RealityScan in 2026 prioritizes high CPU core counts (16–64 cores), a CUDA-capable NVIDIA GPU with 16GB+ VRAM, 32–128GB DDR5 ECC memory, and tiered NVMe storage with separate cache and project drives. VRLA Tech recommends the AMD Ryzen 9 9950X build with RTX 5080 for small-to-medium photogrammetry projects, or the Threadripper 9980X build with RTX 5090 32GB and 128GB ECC for enterprise-scale reconstructions and Unreal Engine integration. Configure at vrlatech.com/vrla-tech-workstations/realityscan.

RealityScan integrates directly with Unreal Engine for VFX, virtual production, and game asset workflows. The best workstation for both runs the AMD Threadripper 9980X (64 cores) with NVIDIA RTX 5090 32GB and 128GB DDR5 REG ECC RAM — high core counts accelerate RealityScan reconstruction, the 32GB VRAM handles complex Unreal Engine scenes, and ECC memory ensures stability during multi-hour processing runs. VRLA Tech's Threadripper build at vrlatech.com/product/vrla-tech-amd-ryzen-threadripper-workstation-for-realityscan is configured specifically for this combined pipeline.

Yes. The high-end VRLA Tech Threadripper build with AMD Threadripper 9980X (64 cores), NVIDIA RTX 5090 32GB, and 128GB DDR5 REG ECC RAM is engineered specifically for enterprise-level photogrammetry datasets of 8K to 16K+ images. It delivers maximum stability for multi-day reconstructions, faster alignment and mesh generation, and the scalable storage tiers (1TB OS NVMe + 2TB cache NVMe + 4TB project SSD) needed for out-of-core workflows at this scale. Configure at vrlatech.com/product/vrla-tech-amd-ryzen-threadripper-workstation-for-realityscan.

Every VRLA Tech RealityScan workstation includes a 3-year parts warranty and lifetime US-based engineer support at no extra cost. Each system is hand-assembled in Los Angeles, burn-in tested under sustained CUDA workloads, and shipped ready to run RealityScan, Unreal Engine, Blender, and companion tools out of the box. Replacement parts ship under warranty with direct engineer access via phone and email — engineers specialize in photogrammetry and content creation workflows, not general IT. Buy a build at vrlatech.com/vrla-tech-workstations/realityscan.