Wire · technology
Native-speed vLLM transformers modeling backend
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Fusion42 · 22 August 2026 · Fusion42 review
The transformers library backend in vLLM now matches or surpasses the speed of native vLLM implementations for various large language model architectures, enabling model authors to use transformers code directly for ultra-fast inference without separate custom ports.
This Wire brief sits within Fusion42's coverage of AI Infrastructure and Generative AI.
◆ ◆ The Wire takeaway
You can now run any Hugging Face transformers model at native vLLM speed without rewriting code. If you optimise LLM inference, this removes a major time barrier and opens faster deployment by default.
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1 source · 8 Jul 2026
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