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Unreal Engine Workstations

From enterprise applications and cinematic experiences to high-quality games across PC, console, mobile, VR, and AR, Unreal Engine is a powerful tool that requires an equally powerful workstation. Unreal Engine is one of the most advanced real-time engines available, used for game development, virtual production, architectural visualization, and interactive simulations. Our recommended workstations are designed to provide the CPU performance, GPU power, and memory capacity needed to keep Unreal Engine responsive while compiling code, building lighting, and working with large scenes.

Unreal Engine

Hardware Recommendations for Unreal Engine

Minimum Requirements

  • CPU Quad-core Intel or AMD, 2.5 GHz or faster

  • OS Windows 10 64-bit version 1909 revision .1350 or higher, or versions 2004 and 20H2 revision .789 or higher.

  • RAM 32 GB RAM

  • GPU 8 GB or more, DirectX 11 or 12 compatible graphics card with the latest drivers.

Recommended Workstations

AMD Ryzen Threadripper Workstation for Unreal Engine

Built to deliver the power needed for compiling projects, building lighting, and supporting virtual production or studio environments.

CPU AMD Threadripper PRO 9970X


GPU GeForce RTX 5080 16GB


RAM 128GB DDR5 ECC (4x32GB)


Intel Core Ultra Workstation for Unreal Engine

Workstation platform that offers expanded hardware options for Unreal Engine development and complex production workflows.

CPU Intel Core Ultra 9 285K


GPU GeForce RTX 5080 16GB


RAM 64GB DDR5 (2x32GB)


Additional information

Additional Information: Choosing the Right Workstation for Unreal Engine

Unreal Engine workflows can look very different depending on whether you spend most of your time inside the editor, building environments, running virtual production scenes, compiling code, or compiling shaders. Unreal’s published specs are a helpful baseline, but they’re designed to confirm compatibility—not to guide you toward the fastest experience for real production work. VRLA Tech builds Unreal Engine workstations around the components that most directly impact day-to-day performance: CPU speed and core count (for compiling and shader work), GPU power and VRAM (for viewport and real-time rendering), RAM capacity (for large projects and multitasking), and fast NVMe storage (for project load/save and asset caching).

For reference, you can review Epic’s official guidance here: Unreal Engine Hardware and Software Specifications.

Processor (CPU): Editor Performance vs Compiling Power

The CPU influences nearly everything in Unreal development—from editor responsiveness to building lighting, packaging, and compiling shaders or C++ code. For most creators, a modern high-clock CPU with a solid core count (Intel Core Ultra or AMD Ryzen 9000 Series) delivers excellent editor performance and a smooth overall workflow. If you regularly compile shaders, build from source, or spend meaningful time waiting on heavy threaded tasks, stepping up to AMD Threadripper can cut those waits dramatically—especially on large codebases and complex projects.

Graphics (GPU): Viewport FPS, VR, and Real-Time Scenes

Unreal relies heavily on the GPU for real-time rendering and viewport performance. A stronger GPU improves frame rate, scene interaction, and headroom for demanding workflows like VR development, cinematic previs, high-resolution assets, and real-time visualization. VRAM matters too: larger scenes, high-resolution textures, and multi-display setups can benefit from GPUs with more onboard memory—helping reduce slowdowns when projects become complex.

Memory (RAM): Keeping Large Projects Smooth

Unreal projects can scale quickly in memory usage—especially when you have the editor open alongside DCC tools like Maya, 3ds Max, Blender, Substance 3D, and audio tools. As a practical baseline, 32GB is a strong starting point for many users, while 64GB+ is a safer target for large environments, long sessions, heavy multitasking, or workflows that include big builds and lighting work.

Storage (NVMe SSDs): Faster Loads, Saves, and Iteration

Fast storage keeps iteration tight. NVMe SSDs reduce project open times, speed up asset import, and improve general responsiveness when Unreal is reading and writing large amounts of data. For most Unreal creators, a two-drive approach works best:

  • Primary NVMe SSD for OS, tools, and Unreal Engine installations
  • Secondary NVMe SSD for active projects, source files, caches, and working assets
  • Optional large SSD/HDD or NAS for long-term storage, backups, and shared studio assets

Build Guidance: Match the Workstation to Your Workflow

If your priority is a balanced Unreal workflow with strong editor performance, high FPS in the viewport, and excellent everyday responsiveness, a high-clock mainstream CPU paired with a powerful GPU is often the best value. If your workflow is compile-heavy (shaders, C++ builds, source engine builds) or you’re supporting virtual production pipelines that demand more throughput and expandability, a higher-core workstation platform can deliver a noticeably faster development loop.

Explore VRLA Tech workstation categories: Full Workstation Lineup | Content Creation Workstations | Real-Time Engine Workstations

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U.S Based Support
Based in Los Angeles, our U.S.-based engineering team supports customers across the United States, Canada, and globally. You get direct access to real engineers, fast response times, and rapid deployment with reliable parts availability and professional service for mission-critical systems.
Expert Guidance You Can Trust
Companies rely on our engineering team for optimal hardware configuration, CUDA and model compatibility, thermal and airflow planning, and AI workload sizing to avoid bottlenecks. The result is a precisely built system that maximizes performance, prevents misconfigurations, and eliminates unnecessary hardware overspend.
Reliable 24/7 Performance
Every system is fully tested, thermally validated, and burn-in certified to ensure reliable 24/7 operation. Built for long AI training cycles and production workloads, these enterprise-grade workstations minimize downtime, reduce failure risk, and deliver consistent performance for mission-critical teams.
Future Proof Hardware
Built for AI training, machine learning, and data-intensive workloads, our high-performance workstations eliminate bottlenecks, reduce training time, and accelerate deployment. Designed for enterprise teams, these scalable systems deliver faster iteration, reliable performance, and future-ready infrastructure for demanding production environments.
Engineers Need Faster Iteration
Slow training slows product velocity. Our high-performance systems eliminate queues and throttling, enabling instant experimentation. Faster iteration and shorter shipping cycles keep engineers unblocked, operating at startup speed while meeting enterprise demands for reliability, scalability, and long-term growth today globally.
Cloud Cost are Insane
Cloud GPUs are convenient, until they become your largest monthly expense. Our workstations and servers often pay for themselves in 4–8 weeks, giving you predictable, fixed-cost compute with no surprise billing and no resource throttling.