Introducing multi-backends (TRT-LLM, vLLM) support for Text Generation Inference
Hugging Face has added support for multiple backends in their Text Generation Inference (TGI) model, allowing users to switch between TRT-LLM and vLLM. This means developers can now choose the most suitable backend for their specific use case, depending on factors such as performance requirements or available hardware. The addition of multi-backend support is expected to improve the flexibility and efficiency of TGI models in various applications.
Hugging Face has added support for multiple backends in their Text Generation Inference (TGI) model, allowing users to switch between TRT-LLM and vLLM. This means developers can now choose the most suitable backend for their specific use case, depending on factors such as performance requirements or available hardware. The addition of multi-backend support is expected to improve the flexibility and efficiency of TGI models in various applications.
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Why it matters: This matters because it gives developers more control over the performance and resource usage of TGI models, which can be critical in large-scale production environments or when working with limited resources.
Source: https://huggingface.co/blog/tgi-multi-backend
This article was originally published at: https://huggingface.co/blog/tgi-multi-backend