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SGLang and Miles Add Day-0 Support for DeepSeek-V4.1
DeepSeek-V4.1 introduces several architecture choices that shape the serving stack. Low-ratio compression and sliding-window attention (SWA). Each layer maintains an fp8 sliding-window cache for its ...
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...
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