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Rumored Le Chaton FAT model spurs discussion on local AI inference hardware

A user on Reddit's r/LocalLLaMA subreddit is discussing "Le Chaton FAT," a rumored upcoming model they believe will be 26 trillion parameters. The user details their current hardware setup, including 12 high-speed SSDs totaling 30TB and 256GB of DDR4 RAM, which they use for model and dataset storage and KV cache. They express readiness for this next phase of local AI inference, highlighting their use of ZFS for data integrity. AI

IMPACT Speculation about a large, rumored local inference model prompts discussion on hardware requirements for advanced AI.

RANK_REASON The cluster discusses a rumored, unreleased model based on user speculation and personal hardware setup, not an official announcement or significant industry event.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Rumored Le Chaton FAT model spurs discussion on local AI inference hardware

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/reto-wyss ·

    Are you ready for Le Chaton FAT or still wasting money on GPUs?

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vdmfmi/are_you_ready_for_le_chaton_fat_or_still_wasting/"> <img alt="Are you ready for Le Chaton FAT or still wasting money on GPUs?" src="https://preview.redd.it/pz3xple3lzgh1.jpeg?width=640&amp;crop=smart&a…