In this lesson, you will learn how to configure Nanite Mesh Streaming to maintain high-fidelity assets in vast open worlds while keeping memory overhead strictly under control.
Managing Memory with Nanite Streaming
While Nanite handles massive polygon counts, it is not immune to memory limits. When building a sprawling World Partition map, loading every Nanite mesh into VRAM simultaneously would lead to massive stalls or crashes. Nanite Mesh Streaming addresses this by treating geometry like textures: it keeps only the necessary base meshes in memory and streams high-detail clusters from disk as the camera approaches them.
Implementing Streaming Settings
By default, Nanite manages this automatically, but for large-scale environments, you must ensure your project settings are tuned for your target hardware. Navigate to your Project Settings > Rendering > Nanite and focus on the Streaming Pool Size.
If you notice "pop-in" or persistent blurriness on distant assets, you likely need to adjust how the engine prioritizes memory. You can use the console to monitor the budget in real-time:
// Check current Nanite streaming pool memory usage
r.Nanite.Streaming.StreamingPoolSize 2048
// View diagnostic stats to ensure streaming isn't thrashing
nanite.Streaming.Stats 1
Balancing Fidelity and Throughput
To optimize your pipeline, ensure your high-poly assets have appropriate Nanite Proxy settings. When working with World Partition, the streaming system interacts directly with the Streaming Source components you learned about previously. By placing your Streaming Sources strategically, you provide the Nanite engine with the "hints" it needs to prioritize which mesh clusters to stream into the pool.
If you are seeing performance dips, ensure you are not over-relying on the streaming pool by checking your assets in the Nanite Visualization mode (View Modes > Nanite > Clusters). If you see excessive red (high-cost) clusters far from the camera, consider increasing the density of your HLODs to bridge the gap until the Nanite streaming engine can pull the high-detail data into memory.
Key Takeaway: Nanite Mesh Streaming offloads high-poly data to disk and selectively fetches it into VRAM based on camera proximity, allowing you to bypass strict memory limits in massive open-world environments.