RTX 2060 12GB vs RTX 5050 8GB as secondary GPU for AI + multi-GPU setup?

Hey everyone,

I’m currently running a RTX 3060 12GB as my main GPU for AI workloads (mainly ComfyUI, LoRAs, some video generation, etc.), and I’m planning to add a second GPU to my setup.

I’m trying to decide between:

• RTX 2060 12GB
• RTX 5050 8GB

My main use cases:

• Running multiple AI tasks in parallel
• Using separate GPUs for different workloads (not NVLink)
• Occasionally testing multi-GPU setups and some gaming experiments

What I care about most:

• VRAM capacity vs raw performance
• Stability in long AI workloads
• Overall usefulness as a secondary card

From what I understand:

• The 2060 has more VRAM (12GB), which seems great for models
• The 5050 is newer and probably faster, but only 8GB VRAM

So I’m a bit stuck on what would actually be more useful in practice.

For those with experience in multi-GPU or AI setups:
👉 Would you prioritize VRAM (2060 12GB) or newer architecture/performance (5050 8GB)?

Any real-world experience or benchmarks would help a lot.

Thanks!