David Hendrickson(@TeksEdge):The more I look at setups like this, the more I think OCuLink changes the perspective on Local AI mini-PCs. That old RTX 2080 Super doesn't need to hold your giant LLM to be useful. Give the NVIDIA GPU the CUDA-friendly jobs like 👁️ vision models and 🎨 image generation and ... mini-PC's CPU/iGPU/system RAM handles the larger model or another workload when 8GB isn't enough.

2026.09.20 04:00

The more I look at setups like this, the more I think OCuLink changes the perspective on Local AI mini-PCs. That old RTX 2080 Super doesn't need to hold your giant LLM to be useful. Give the NVIDIA GPU the CUDA-friendly jobs like 👁️ vision models and 🎨 image generation and ... mini-PC's CPU/iGPU/system RAM handles the larger model or another workload when 8GB isn't enough.

David Hendrickson@TeksEdge

2026.09.18 20:00

Loving this OCuLink setup with the GMKtec EVO-T1 paired with an RTX 2080 Super. An Intel mini-PC gets dedicated Nvidia CUDA + 8GB of VRAM over PCIe 4.0 ×4 OCuLink. Local AI possibilities are endless! Could run separate models/workloads across the iGPU/CPU and NVIDIA GPU or experiment with model offloading, or even play with disaggregated inference!