# Blazingly fast whisper transcriptions with Inference Endpoints

DevFeed: [Blazingly fast whisper transcriptions with Inference Endpoints](<https://devfeed.tech/articles/blazingly-fast-whisper-transcriptions-with-inference-endpoints-7192.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/fast-whisper-endpoints>)

Author: Morgan Funtowicz; Freddy Boulton; Steven Zheng; Vaibhav Srivastav; Erik Kaunismäki; Michelle Habonneau

Published: 2025-05-13T00:00:00Z

Content type: release

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [inference-endpoints](<https://devfeed.tech/topics/inference-endpoints.md>), [AI, ML & Data Engineering](<https://devfeed.tech/topics/ai-ml-data-engineering.md>), [GPU](<https://devfeed.tech/topics/gpu.md>)

Tags: [audio](<https://devfeed.tech/tags/audio.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [cuda](<https://devfeed.tech/tags/cuda.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [guide](<https://devfeed.tech/tags/guide.md>), [inference](<https://devfeed.tech/tags/inference.md>), [inference-endpoints](<https://devfeed.tech/tags/inference-endpoints.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [transcription](<https://devfeed.tech/tags/transcription.md>), [vllm](<https://devfeed.tech/tags/vllm.md>), [whisper](<https://devfeed.tech/tags/whisper.md>)

## AI overview

Hugging Face introduces an optimized Whisper inference endpoint powered by vLLM. It targets newer NVIDIA GPUs and combines PyTorch compilation, CUDA graphs, and float8 KV-cache quantization to improve transcription inference speed and memory efficiency.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.