A user on Reddit's r/LocalLLaMA subreddit is seeking advice on adding a second AMD 7900XTX GPU to their system to increase VRAM for local large language model (LLM) inference. The primary concern is the potential performance bottleneck caused by the motherboard's PCIe lane configuration, specifically a PCIe 2.0 slot for the secondary GPU, while the CPU supports PCIe 4.0. The user is weighing the cost and benefit of upgrading the motherboard to a PCIe 4.0 compatible model and is also inquiring about the effectiveness of tensor parallelism with these GPUs and whether PCIe 2.0 will be a significant issue for layer splitting. AI
IMPACT Users considering multi-GPU setups for local LLM inference need to carefully evaluate PCIe bandwidth limitations.
RANK_REASON User query about hardware configuration for AI inference.
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