Local Ai

Would a 2nd hand custom built 2080 Ti 22GB vram be worth it? How usable would it be with ComfyUI? Or maybe even 2 pcs with NVLink? Can large models, like Wan2.2 be split with NVLink like it's 44GB, or will it always be 22GB for 1 model, and 22GB for another model (encoders, CLIP, anything else)?

This Reddit post discusses the viability of using second-hand custom-built RTX 2080 Ti GPUs with 22GB VRAM for running Stable Diffusion models in ComfyUI, including whether two cards could be linked v

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local-air-stablediffusion

This Reddit post discusses the viability of using second-hand custom-built RTX 2080 Ti GPUs with 22GB VRAM for running Stable Diffusion models in ComfyUI, including whether two cards could be linked via NVLink to effectively pool 44GB of memory for larger models like Wan 2.2. The post explores technical questions about GPU memory allocation, model splitting capabilities with NVLink, and the practical performance considerations of using legacy hardware for AI image generation tasks.

Source: r/StableDiffusion | 2026-05-04

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