AI BriefingHugging Face Releases Optimum-NVIDIA Inference Library
·2023.12.05 09:00
Key point
Hugging Face has launched the Optimum-NVIDIA library, which speeds up LLM inference by up to 28x on NVIDIA platforms.
1 / 2
Details
Optimum-NVIDIA is a new library that dramatically accelerates LLM inference performance on NVIDIA platforms.
By leveraging NVIDIA TensorRT-LLM software and the new FP8 (float8) format, it delivers up to 28x throughput and 3.3x faster First Token Latency compared to the existing transformers library.
Key features are as follows:
- Ease of use: Simply changing the import path in an existing transformers pipeline instantly unlocks optimized performance.
- FP8 quantization support: The
use_fp8=Trueflag allows larger models to run faster on a single GPU with minimal loss of accuracy. - Hardware optimization: Maximizes performance by leveraging the capabilities of NVIDIA Ada Lovelace and Hopper architectures.
This summary was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.
Our guide explains how the AI works. Report summary errors, attribution issues, or removal requests via Contact.
Related
NVIDIA Open-Sources Local AI Inference Router 'PAIR'Underdog Releases 'Husky', a Model-Specific Inference Engine Up to 4.5x Faster than MLX