Urgent Memory Usage Optimization Request for iClone 8 Imported SketchUp OBJ Scenes

I’m writing to submit a critical optimization request for severe memory overconsumption and lag issues in iClone 8, specifically when importing OBJ scene files exported from SketchUp. As a regular user creating architectural scene assets, I’ve encountered extreme performance bottlenecks that severely limit my workflow and project scale, even with high-end workstation hardware.

My device is equipped with an Intel i9 CPU and 128GB of high-performance RAM, which fully meets and exceeds the official operating requirements for iClone 8. However, the software still suffers from serious stuttering and unresponsive operation when loading simple architectural scenes. For testing, I created a basic single-floor school scene in SketchUp, containing only three to four small classrooms with standard furnishings including desks and chairs, without any complex models, high-poly details, or extra decorative assets.

Surprisingly, after importing this lightweight OBJ file into iClone 8, the system’s occupied memory soared to 35.7GB, as clearly shown in the software’s property panel. Even with my premium hardware configuration, the scene runs extremely sluggishly, affecting viewport navigation, asset editing, and real-time preview. This issue severely restricts my creative capabilities. Currently, iClone 8 only supports the production of tiny and simple scenes, and any attempt to expand scene scale leads to unbearable lag and memory overload.

I sincerely hope the official team can optimize the scene memory management mechanism for imported SketchUp OBJ files, reduce invalid memory occupation, improve resource utilization efficiency, and enable the software to stably support medium and large scene production. This optimization will greatly enhance the practicality and workflow efficiency of iClone 8 for architectural and environmental scene creation.

What GPU do you use?

NVIDIA GeForce RTX 3080 Ti

@1013822924 Does iClone run on your dedicated GPU? On some computers you might need to open the Windows GPU settings (not the Nvidia control panel! It gets ignored by Windows) add the iClone exe manually to the list of programs and then select to run it on your Nvidia card. Otherwise it might be running on the much slower iGPU on your processor.

I think your initial problems stem from the fact that the GPU’s video memory isn’t sufficient. Your card has 12GB. What does Iclone show for GPU and CPU usage once the project is loaded?

In my opinion, Iclone’s renderer isn’t actually very good. I once carried out a comparison test and rendered a scene with 5GB of video memory and over 1,000 objects in Iclone, Cinema 4D and Ominiverse. I use two Titan RTX cards as my GPUs. My CPU is a 128GB I9-10980XE. I’d say that’s still quite powerful. Iclone took about 30 minutes for one image. Ominiverse and Cinema 4D took about 8 minutes.

That will ultimately be the reason why Iclone 9 is switching to RTX rendering

Translated with DeepL.com (free version)

It’s still a bit laggy after adding it.

My system memory usage is over 100 GB, while VRAM usage is negligible.

That’s probably the problem. For some reason, the rendering is being offloaded to your CPU, which is significantly slower than the GPU. If the CPU is still doing most of the work, it’s usually because the graphics card hasn’t been assigned correctly. From there, it gets a bit trickier, as you’ll need to check your settings.