# Introducing HUGS - Scale your AI with Open Models

DevFeed: [Introducing HUGS - Scale your AI with Open Models](<https://devfeed.tech/articles/introducing-hugs-scale-your-ai-with-open-models-7255.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/hugs>)

Author: Philipp Schmid; Jeff Boudier; Alvaro Bartolome; Simon Pagezy; Violette

Published: 2024-10-23T00:00:00Z

Content type: article

Language: en

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

Topics: [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [model-deployment](<https://devfeed.tech/topics/model-deployment.md>), [tgi](<https://devfeed.tech/topics/tgi.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Transformers](<https://devfeed.tech/topics/transformers.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Generative AI](<https://devfeed.tech/topics/generative-ai.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [Microservices](<https://devfeed.tech/topics/microservices.md>), [API](<https://devfeed.tech/topics/api.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>)

Tags: [accelerate](<https://devfeed.tech/tags/accelerate.md>), [accelerators](<https://devfeed.tech/tags/accelerators.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-accelerator](<https://devfeed.tech/tags/ai-accelerator.md>), [amd](<https://devfeed.tech/tags/amd.md>), [announcement](<https://devfeed.tech/tags/announcement.md>), [api](<https://devfeed.tech/tags/api.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [aws](<https://devfeed.tech/tags/aws.md>), [aws-inferentia](<https://devfeed.tech/tags/aws-inferentia.md>), [azure](<https://devfeed.tech/tags/azure.md>), [digitalocean](<https://devfeed.tech/tags/digitalocean.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [gcp](<https://devfeed.tech/tags/gcp.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llm](<https://devfeed.tech/tags/llm.md>), [microservices](<https://devfeed.tech/tags/microservices.md>), [model-deployment](<https://devfeed.tech/tags/model-deployment.md>), [models](<https://devfeed.tech/tags/models.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [partnerships](<https://devfeed.tech/tags/partnerships.md>), [performance](<https://devfeed.tech/tags/performance.md>), [technologies](<https://devfeed.tech/tags/technologies.md>), [text-generation](<https://devfeed.tech/tags/text-generation.md>), [tgi](<https://devfeed.tech/tags/tgi.md>), [transformers](<https://devfeed.tech/tags/transformers.md>)

## AI overview

Hugging Face introduces HUGS, optimized zero-configuration inference microservices for deploying open models in an organization's own infrastructure. Built on Hugging Face technologies including Text Generation Inference and Transformers, HUGS targets efficient, hardware-optimized deployment across NVIDIA and AMD GPUs, with AWS Inferentia and Google TPU support planned. It provides an OpenAI-compatible API and is designed to reduce deployment complexity and time for AI applications.

## Source excerpt

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