A user on Reddit's r/LocalLLaMA subreddit is seeking advice on optimizing their hardware setup for running large language models locally. They are considering two main options: either adding a new AMD Radeon PRO v620 32GB card to their existing gaming rig, which currently has a 7900XTX with 24GB VRAM, or installing the new card into a separate mini ITX system. The user is weighing the benefits of increased combined VRAM in a single system for better model quantizations against the potential performance impact of splitting the workload across two cards via the PCIe bus. They are also curious about the feasibility and performance implications of using mixed GPU brands and configurations for AI inference. AI
IMPACT Optimizing local hardware setups can improve accessibility and performance for running LLMs.
RANK_REASON User seeking advice on hardware configuration for local LLM inference.
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