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Kimi K3 LLM runs on MacBook Pro via SSD streaming

A demonstration showcased the Kimi K3 large language model running on a MacBook Pro, achieving a speed of 1 token per second. This was accomplished by streaming the model from four Solid State Drives, utilizing the deltafin framework developed by argonautlabsai. AI

IMPACT Shows potential for running large models on local, consumer-grade hardware with optimized streaming.

RANK_REASON Demonstration of a large language model running on consumer hardware using novel streaming techniques. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

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

Kimi K3 LLM runs on MacBook Pro via SSD streaming

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5 / 100
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Demonstration of a large language model running on consumer hardware using novel streaming techniques. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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infra, model release
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · h4ckernews ·

    Kimi K3 (2.8T) at 1 token/s on a MacBook Pro, streamed from four SSDs https:// github.com/argonautlabsai/delt afin Comments: https:// news.ycombinator.com/item?

    Kimi K3 (2.8T) at 1 token/s on a MacBook Pro, streamed from four SSDs https:// github.com/argonautlabsai/delt afin Comments: https:// news.ycombinator.com/item?id=4 9616257 # HackerNews # KimiK3 # MacBookPro # SSD # Streaming # AI # Tech