A user is seeking advice on whether adding a second graphics card, an RX 6800 16GB, to their existing 7900 XTX 24GB setup would be beneficial for running large language models locally. They are particularly interested in the performance implications of a PCIe x2 connection and how it compares to offloading to system RAM. The user wants to know what specific model sizes or quantization levels become feasible with approximately 40GB of VRAM and is looking for real-world benchmarks, especially with mixed AMD GPUs. AI
IMPACT Understanding hardware limitations and optimal configurations for local LLM deployment.
RANK_REASON User query about hardware configuration for AI tasks.
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