A Complete Solution to Optimize Cua VM Performance
Cua has achieved 90% native performance, but can be maximized with the following:
- Resource allocation::
1. Recommended allocation:
-8-core CPU (70% of physical cores)
-16GB RAM (60% of total memory)
2. Adjustment command example:lume run --cpus 8 --memory 16G macos-sequoia-vanilla:latest - IO optimization::
-Using an APFS-formatted SSD
-Avoid running multiple IO-intensive VMs at the same time - network acceleration::
1. Enable the Virtio network driver:--network virtio
2. Configure the MTU value to 1500 - AI-specific optimization::
-Disable unwanted graphic effects
-Usecua-coreHardware-accelerated mode of the library
Note: Geekbench is recommended for performance testing to compare the difference between native and virtual machine scores
This answer comes from the articleCua: Enabling AI agents to securely execute applications in macOS/Linux sandboxesThe
May not be reproduced without permission:AI productivity tools " How to improve the execution efficiency of AI agents in VMs?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil