Open sourceSep 11, 2026Entry № 320
RunningHub open-sources MiniMax H3 multi-GPU acceleration stack with ~12x speedup
An open-source acceleration stack for MiniMax's H3 video model replaces the default 50 denoising steps with 4–9 via a post-trained RH model. H3 Lightning, published on GitHub by RunningHub, pairs that with SageAttention2, Cache-DiT, torch.compile and TP2+Ulysses4 parallelism for PCIe multi-GPU hosts.
On four RTX 6000D GPUs, RunningHub reports a 5-second 1344×768 video drops from 348.8 seconds to 28.7 seconds, roughly a 12x speedup with BF16 precision retained; on eight GPUs a 15-second dual-reference video takes about 73 seconds. The GitHub release supports local multi-GPU deployment and does not state a licence.
Original sources (Chinese)
吹爆开源！RunningHub让MiniMax H3满血提速12倍，本地部署照样起飞15秒视频，54秒生成！AI视频创作的“等待焦虑”，被RunningHub这套开源方案治好了