AI BriefingTGI Adds Multi-Backend Inference Support
Key point
Hugging Face's TGI is introducing a multi-backend architecture that supports various inference engines such as vLLM and TensorRT-LLM.
Details
Hugging Face is introducing Multi-backend support for its existing Text Generation Inference (TGI).
This new architecture uses TGI as a single unified frontend layer, allowing users to flexibly select and switch between various inference engines such as vLLM, TensorRT-LLM, and llama.cpp based on their hardware and performance requirements.
The key roadmap and collaboration plans are as follows:
- NVIDIA TensorRT-LLM: Collaboration to provide optimized performance on NVIDIA GPUs.
- llama.cpp: Expanded support for CPU-based deployment (Intel, AMD, ARM).
- vLLM: To be integrated as a TGI backend within Q1 2025.
- AWS Neuron & Google TPU: Enhanced native support for AWS Inferentia/Trainium and Google TPU.
This feature is expected to become directly available in Hugging Face Inference Endpoints as well, enabling optimal performance and reliable model deployment across diverse hardware.
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