Satisfactory 1.0 Memory Leak Fixes for Dedicated Server
With the release of Satisfactory 1.0 on Unreal Engine 5, many pioneers have encountered a creeping memory usage on their dedicated servers. Left unattended, a server that starts at 6GB of RAM can balloon to 16GB+ within 24 hours, leading to the dreaded "Out of Memory" crash. This guide covers how to identify and mitigate these leaks.
🧊 The Unreal Engine 5 Leak
A known issue in the initial 1.0 build involves assets not being cleared from memory when players disconnect. This "ghosting" effect accumulates over time.
🧹 Garbage Collection (GC)
Manual GC calls and scheduled restarts are the most effective ways to keep a mega-factory server stable in the current version.
Best Practices for RAM Management
1. Implement 12-Hour Daily Restarts
Because some leaks are tied to the engine's core, the most reliable "fix" is a scheduled restart. On a Satisfactory dedicated server, this refreshes the memory pool and clears stale player metadata.
- Recommended: Restart at 4:00 AM and 4:00 PM local time.
- Effect: Reduces baseline RAM usage by 40-60%.
2. Optimize "Max Objects" in Engine.ini
Large factories with hundreds of thousands of items can overwhelm the server's object registry. Limit the `MaxObjects` to what you actually need to prevent the server from pre-allocating too much memory.
[/Script/Engine.GarbageCollectionSettings]
gc.MaxObjectsNotConsideredByGC=100000
gc.SizeOfPermanentObjectPool=03. Reduce Global Tick Rate
If your server is consuming excessive CPU *and* RAM, lowering the tick rate can help. While 30 is the standard, a complex factory can run fine at 20 or 25, significantly reducing the "Object Update" memory overhead.
Hardware vs. Save File Size
As of late 2025, Satisfactory servers follow these hardware targets:
| Factory Size | Recommended RAM | Notes |
|---|---|---|
| Tiers 1-4 | 8 GB | Stable for months. |
| Tiers 5-8 | 12 GB | Requires daily restarts. |
| Mega-factories (T9+) | 16-24 GB | NVMe storage is mandatory. |
Troubleshooting: If your server crashes specifically during an Autosave, it is likely a disk I/O bottleneck causing a memory pile-up. Switch to an NVMe-based host to solve this.
Build without limits. Rent a Satisfactory Server with high-frequency RAM and automated script-based restarts.