Source record

Published by r/LocalLLaMA (T2 source). The original is at https://www.reddit.com/r/LocalLLaMA/comments/1wjr59t/768gb_vram_for_less_than_the_price_of_one_rtx_6000/.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

A Reddit post in r/LocalLLaMA claims a configuration delivering 768GB of total VRAM at a combined cost below that of a single NVIDIA RTX 6000 (48GB), presumably by combining multiple consumer or used GPUs for local large-model inference. No body content was available.

Cost-per-GB claims for high-VRAM rigs are useful reference points for anyone budgeting local inference hardware.

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