Time Dilation Lab cover art

Can I Run Time Dilation Lab?

Have you ever wanted to experience firsthand the amazing reality of Einstein's special relativity equations? Imagine three sleek spacecraft, each speeding towards one another at a significant fraction...

Developer Logan BierRelease 2026Genre Simulation
Can your PC run it? →

System requirements

Minimum requirements

CPU2.6 Dual Core Processor or Greater
GPU2 GB Dedicated Video Card or Greater
VRAM2 GB
RAM6 GB
Storage2 GB
OSWindows® 10 or Newer
DirectX9

Recommended requirements

CPU3.2 Quad Core Processor or Greater
GPU4 GB Dedicated Video Card or Greater
VRAM4 GB
RAM8 GB
Storage2 GB
OSWindows® 10 or Newer
DirectX9

Verified from Steam · 9 Jul 2026 source

Scores are deterministic, computed by fixed rules and benchmark tables, not written by an AI. How we score. Maintained by Farhad Ali. Spotted a wrong specification? Tell us.

Can you run Time Dilation Lab?

100%
Can run iton a typical modern PC (Ryzen 5 5600, RTX 3060, 16 GB RAM), system RAM is the tightest fit.

Time Dilation Lab targets a mainstream modern PC: 2 GB Dedicated Video Card or Greater and 6 GB of RAM for the minimum, stepping up to 4 GB Dedicated Video Card or Greater for the recommended experience. No single part dominates the requirements, so a balanced mid-range build clears it.

Bottleneck: RAM

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Frequently asked questions

Can my PC run Time Dilation Lab?

Upload your DxDiag file to Idxdiag's free checker and get a component by component compatibility verdict for Time Dilation Lab in seconds. No install required.

What are the minimum system requirements for Time Dilation Lab?

The minimum requirements are CPU: 2.6 Dual Core Processor or Greater; GPU: 2 GB Dedicated Video Card or Greater; 6 GB RAM; OS: Windows® 10 or Newer.

How much storage does Time Dilation Lab need?

Time Dilation Lab needs about 2 GB of available storage.

What is the bottleneck for Time Dilation Lab?

On a typical modern PC (Ryzen 5 5600, RTX 3060, 16 GB RAM), the tightest component for Time Dilation Lab is the RAM.