Rotary GPU: Exploring Local Execution for Large MoE Models Under Limited VRAM
dryarzeg
35 points
4 comments
May 30, 2026
Related Discussions
Found 5 related stories in 837.0ms across 14,015 title embeddings via pgvector HNSW
- Running local models on an M4 with 24GB memory shintoist · 225 pts · May 10, 2026 · 58% similar
- Show HN: I run a vision model on every screenshot, locally, on a 4GB GPU skye0110 · 12 pts · June 13, 2026 · 55% similar
- Flash-MoE: Running a 397B Parameter Model on a Laptop mft_ · 332 pts · March 22, 2026 · 55% similar
- MegaTrain: Full Precision Training of 100B+ Parameter LLMs on a Single GPU chrsw · 280 pts · April 08, 2026 · 54% similar
- Running local models is good now sixhobbits · 12 pts · June 15, 2026 · 53% similar
Discussion Highlights (2 comments)
sandworm101
Um, doesn't the 4060 laptop card have the ability to share system memory? Wait... My mistake. Google AI says the 4060 mobile can access system memory but tech sheets say no.
martinald
Why is this a paper? It's just using the n-cpu-moe option on llama.cpp? What am I missing here?