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SGLang is a fast serving framework for large language models and vision language models. This is a CPU build: inference uses PyTorch's native CPU operators. The Rust PyO3 extensions (multimodal preprocess, native gRPC) are built. The embedded Rust server is not. CUDA kernels, sgl-kernel and flashinfer are not.
| Package | Summary | Distribution | Download |
| python313-sglang-0.5.18-1.2.x86_64.html | Fast serving framework for large language models | OpenSuSE Tumbleweed for x86_64 | python313-sglang-0.5.18-1.2.x86_64.rpm |
| python313-sglang-0.5.18-1.1.aarch64.html | Fast serving framework for large language models | OpenSuSE Ports Tumbleweed for aarch64 | python313-sglang-0.5.18-1.1.aarch64.rpm |
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