Storage performance is often treated as a loading-time problem.
Once the simulator starts, storage is assumed to be irrelevant.

In reality, many simulators stream data continuously.
And storage behavior can affect consistency long after the loading screen disappears.


Short answer

Simulator software relies on continuous asset streaming.
Storage latency and I/O consistency affect frame pacing,
timing stability, and long-session reliability more than raw transfer speed.


What asset streaming actually means

Asset streaming is the process of loading data on demand
while the simulation is already running.

In simulators, this includes:

  • Environment geometry
  • Textures and materials
  • Physics and state data
  • Scenario and session assets

This data flow is ongoing, not a one-time event.


Why simulators rely on streaming

Simulators often represent large, persistent environments.
Loading everything into memory is impractical.

Streaming allows:

  • Large environments without massive RAM usage
  • Dynamic session changes
  • Continuous simulation without reloads

But it places new demands on storage behavior.


Why latency matters more than peak throughput

Storage benchmarks focus on maximum read and write speeds.
Asset streaming depends on response time.

High latency can cause:

  • Micro-stutter during scene changes
  • Frame pacing inconsistencies
  • Delayed simulation updates

These issues can appear even on fast drives.


Small, random I/O under sustained load

Asset streaming often involves many small read requests.
This pattern stresses storage differently than large sequential transfers.

Under sustained load:

  • I/O queues remain active
  • Latency consistency becomes critical
  • Thermal behavior of the drive matters

Storage thermal throttling over long sessions

NVMe drives generate heat under sustained activity.
In enclosed simulator systems, this heat can accumulate.

Thermal throttling can lead to:

  • Sudden increases in access latency
  • Inconsistent streaming behavior
  • Performance drift during long sessions

These effects are rarely visible in short tests.


Storage and memory interaction

Storage streaming works closely with system memory.
When memory pressure increases, storage activity increases.

This interaction can cause:

  • Increased paging or cache misses
  • Higher I/O demand at unpredictable times
  • Timing variation in simulation loops

Background I/O and simulator disruption

Operating systems and applications generate background disk activity.
Under continuous simulation load, this can interfere with streaming.

Common effects include:

  • Asset load delays
  • Momentary stutter
  • Reduced consistency over time

Why storage benchmarks can be misleading

Benchmarks measure peak speed under ideal conditions.
Simulators operate under mixed, sustained workloads.

A drive that benchmarks well
may still behave inconsistently during long simulation sessions.


What simulator storage should optimize for

Simulator storage should prioritize consistency.

Key priorities include:

  • Low and stable access latency
  • Thermal stability under sustained I/O
  • Predictable performance during mixed workloads
  • Minimal interference from background activity

Final thought

Storage performance is not just about how fast a simulator loads.
It is about how smoothly it runs afterward.

In simulation, asset streaming never really stops.
And storage consistency matters long after the session begins.

Simulator Platforms We Support

RBS systems are designed for the most common simulator platforms used today.

Golf simulators

TrackMan · Uneekor · Foresight

Racing simulators

iRacing · Assetto Corsa · rFactor

Flight simulators

MSFS · X-Plane · Prepar3D