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AI Model Hardware Demands Criticized as Wasteful Amidst Outdated Tech Claims

A recent document highlights the significant hardware requirements for running large AI models, noting that two DGX Spark systems with substantial memory are needed for a 27B parameter model to achieve 20 tokens/second. This is seen as wasteful, potentially due to a lack of vendor competition. The situation is further contextualized by expert opinions, such as Yann LeCun's, suggesting that current GPT technology may already be outdated. AI

IMPACT Highlights the substantial and potentially inefficient hardware costs associated with running advanced AI models, questioning the current technological trajectory.

RANK_REASON The cluster contains commentary on hardware requirements and expert opinions about AI technology, rather than a new release or significant industry event.

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AI Model Hardware Demands Criticized as Wasteful Amidst Outdated Tech Claims

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · silentexception ·

    This is a really good document. I suppose there are many ways to interpret it, yet, what strikes me is the fact that one needs at least 2xDGX Spark, with 128GB

    This is a really good document. I suppose there are many ways to interpret it, yet, what strikes me is the fact that one needs at least 2xDGX Spark, with 128GB of LPDDR5x memory each, to run just a 27B model (hopefully not quantized) at 20 toks/s. It's so wasteful. Perhaps, this …