The Large Model Systems Organization develops large models and systems that are open, accessible, and scalable.
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Running DeepSeek-V4-Flash and Kimi-K3 on Consumer Hardware with SSD Expert Pack
SGLang brings the core idea of SSD-LLaMA to MoE inference: keep routed experts that do not fit in VRAM and host RAM on an NVMe SSD, load only the experts selected by the router, and use Expert Pack la...
Infer-forge: Harness, Loop, and Graph Engineering Around SGLang
Inference optimization may look local in code, but its validity is global. A kernel, communication path, or scheduling change becomes meaningful only at a specific deployment point defined by the mode...
MiniMax-H3 on 8×H200: 1.95× Lossless, Up to 6.24× at 0.76–0.91 SSIM
We benchmarked MiniMax-H3 video generation on 8× NVIDIA H200 with SGLang Diffusion, holding prompts, seeds, resolution, frame rate, and denoising steps fixed across six workloads. - SGLang's dense, l...
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