Transformers Backend Performance Matches vLLM
LysandreJik · x · 2026-07-10
The author states that @vllmproject's modeling backend in transformers is now as fast as vLLM itself.
This implies that once a model is added to transformers, it can achieve near-native performance almost immediately. After a single development effort, it can be trained, inferenced, and deployed across various environments.
Related event: vLLM Transformers Backend Achieves Native Performance(4 posts)→
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