repoGitHubTrust 82 · PrimaryPublished 2d agoLive · 2d ago
quantumnic/ssd-llm
Run 70B+ LLMs on Apple Silicon by using SSD as extended memory — intelligent layer streaming and caching for Mac
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 60%I mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset) →
- PossiblePossibly related (embedding) · 56%OpenAI and Broadcom announce chip designed for LLM inference at scale →
- PossiblePossibly related (embedding) · 53%Apple M7 Ultra Chip Planned With Up to 1.5 TB of Unified Memory →
- PossiblePossibly related (embedding) · 50%Best Local LLMs You Can Run on a Single 24GB GPU in 2026: Qwen, Gemma, Mistral, DeepSeek Compared - MarkTechPost →
- PossiblePossibly related (embedding) · 54%Please join r/LowEndLocalAI, a community for running local LLMs on low spec hardware →
Covers
newsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)newsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsApple M7 Ultra Chip Planned With Up to 1.5 TB of Unified MemorynewsBest Local LLMs You Can Run on a Single 24GB GPU in 2026: Qwen, Gemma, Mistral, DeepSeek Compared - MarkTechPostnewsPlease join r/LowEndLocalAI, a community for running local LLMs on low spec hardware
Related across the graph
newsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsApple M7 Ultra Chip Planned With Up to 1.5 TB of Unified MemorynewsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)newsBest Local LLMs You Can Run on a Single 24GB GPU in 2026: Qwen, Gemma, Mistral, DeepSeek Compared - MarkTechPostnewsPlease join r/LowEndLocalAI, a community for running local LLMs on low spec hardware