A user is seeking advice on GPU VRAM requirements for running Ideogram 4.0 FP8 locally. They are debating between a 16GB RTX 4070 Ti Super and a 24GB RTX 3090, noting that Ideogram 4.0 with its text encoder can consume up to 30GB of VRAM. The core question is whether the performance difference, particularly the system RAM offloading with a 16GB card, is significant enough to warrant the risks of a used 24GB card. AI
IMPACT Determining optimal hardware for local AI model deployment is crucial for efficient operation.
RANK_REASON User query about hardware requirements for a specific AI model.
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