# RH-RunningHub/MiniMax-H3-MultiGPU-Lightning > Multi-GPU inference acceleration recipe for MiniMax H3 video generation using step distillation, SageAttention2, Cache-DiT and torch.compile on SGLang, up to ~12x on 8x RTX 6000D. - Magnitude: 0.6 out of 10 — Steady - Stars: 103 total · +0 stars on 2026-09-24 (UTC), ≈ 1 by evening - Star trust: star growth looks organic - Category: Language models · Language: Python · License: Apache-2.0 · Created: 2026-09-07 · Last push: 2026-09-10 - GitHub: https://github.com/RH-RunningHub/MiniMax-H3-MultiGPU-Lightning · Page: https://gitnova.dev/en/r/RH-RunningHub/MiniMax-H3-MultiGPU-Lightning ## Useful for - Deploy the recipe on your own multi-GPU rig to speed up 5-second video generation - Swap RH's private weights for public acceleration LoRAs and reproduce the full inference workflow - Compare TP2+Ulysses4 with other parallelism setups for latency and memory ## Why it’s here - The repository is 17 days old and already has 103 stars. - Recent forks include notable developers: @kaelzhang (386 followers). ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 13 - Issues and pull requests: 3 - Watchers: 1 - Average over the last week: 1 per day - Usual pace: 6 per day ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-30 … 2026-10-29: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None ## Magnitude by day, last 12 days 09-13 1.5, 09-14 1.8, 09-15 1.5, 09-16 1.2, 09-17 1.2, 09-18 0.9, 09-19 0.8, 09-20 0.8, 09-21 0.7, 09-22 0.8, 09-23 0.6, 09-24 0.6 --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-24 00:01 UTC, updated every 30 minutes.