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Ant inclusionAI has launched the sglang_ling_v3 repository on GitHub, whose contents are based on the open-source inference framework SGLang. The repository's README introduces that SGLang targets large language models, vision-language models, and diffusion models, and is optimized for agent workloads, large-scale serving, and RL rollout. The README also shows that SGLang supports GPU, TPU, NPU, CPU, and Apple Silicon, and includes a built-in image and video generation engine, SGLang Diffusion. The repository has currently been released, with no further development activity yet.
Ant inclusionAI has launched the sglang ling v3 repository on GitHub, whose contents are based on the open-source inference framework SGLang. The repository's README introduces that SGLang targets large language models, vision-language models, and diffusion models, and is optimized for agent workloads, large-scale serving, and RL rollout. The README also shows that SGLang supports GPU, TPU, NPU, CPU, and Apple Silicon, and includes a built-in image and video generation engine, SGLang Diffusion.
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Ant inclusionAI has launched the sglang_ling_v3 repository on GitHub, whose contents are based on the open-source inference framework SGLang. The repository's README introduces that SGLang targets large language models, vision-language models, and diffusion models, and is optimized for agent workloads, large-scale serving, and RL rollout. The README also shows that SGLang supports GPU, TPU, NPU, CPU, and Apple Silicon, and includes a built-in image and video generation engine, SGLang Diffusion. The repository has currently been released, with no further development activity yet.
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View story:The SGLang repository introduces its open-source inference framework
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