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SGLang 0.5.22 adds faster models and Apple Silicon support

The open‑source inference engine upgrades to version 0.5.22, boosting throughput for several models and adding native Mac support.

NoteBy Published by Oossa: 1 min read

The SGLang project released version 0.5.22. It speeds up DeepSeek‑V4.1 by up to 2.3× on NVIDIA H200 GPUs and adds AMD MI350X/MI355X support with up to 1.9× throughput. New models such as EmbeddingGemma 2 and Kandinsky 6 are now included. The engine can now run on Apple Silicon Macs using the standard PyTorch backend. Upgrading requires Python 3.11 or newer.

Why it matters

Developers can run larger LLMs faster on more hardware, including Macs, without buying new servers.

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