Insight for: Could not start because of low RAM

This issue exposes a critical system RAM bottleneck for deploying Qwen3.8-27B, even with a dedicated RTX 3090. The model's 15.87 GiB checkpoint size, coupled with only 10.07 GiB available RAM on a 16GB system, prevents successful loading. This directly impacts accessibility for users with common desktop configurations, limiting the addressable market. The inability to leverage `swapon` or auto-prefetch indicates fundamental memory requirements that are not easily circumvented. For B2B SaaS, high system RAM demands increase infrastructure costs and complexity, hindering broader adoption. Solutions for reduced host memory footprint or more efficient checkpoint loading are essential to expand deployment options.