Digital Event Horizon
Hugging Face has launched HUGS, a scalable solution for deploying open models on various hardware platforms. This new service provides zero-configuration optimized inference microservices, reducing deployment time from weeks to minutes. With its seamless inference experience, support for industry-standard APIs, and scalability, HUGS is set to revolutionize the way we build and deploy AI applications. Get more information about HUGS and how it can benefit your organization.
Hugging Face has launched HUGS, a scalable solution for deploying open models on various hardware platforms. HUGS offers zero-configuration optimized inference microservices for seamless deployment and maximum throughput. The service is designed to be highly scalable, supporting a wide range of open models and hardware platforms. Deploys AI applications using open models in minutes, reducing deployment time from weeks. HUGS offers hardware-optimized inference, support for various accelerators, and industry-standard API compatibility.
Hugging Face has officially launched HUGS, a scalable solution for deploying open models on various hardware platforms. This new service is designed to simplify and accelerate the development of AI applications using open models, reducing the engineering complexity associated with optimizing inference workloads.
According to an announcement made by Hugging Face, HUGS offers zero-configuration optimized inference microservices, allowing developers to deploy open models in their own infrastructure with maximum throughput deployments. This service is built on top of Hugging Face's existing technologies, including Text Generation Inference and Transformers.
HUGS provides a seamless inference experience, leveraging the OpenAI-compatible Messages API to allow users to send requests using familiar tools and libraries. The service is designed to be highly scalable, supporting a wide range of open models and hardware platforms.
One of the key benefits of HUGS is its ability to reduce deployment time from weeks to minutes, with zero-configuration setup required. This makes it an attractive solution for developers and organizations looking to deploy AI applications using open models.
HUGS also offers several other advantages, including hardware-optimized inference, support for a wide range of accelerators, and compatibility with industry-standard APIs. The service is designed to be secure, with enterprise-level features such as SOC2 compliance and regular testing.
The launch of HUGS marks an exciting development in the field of AI and machine learning, providing developers and organizations with a scalable solution for deploying open models. With its zero-configuration optimized inference microservices, HUGS is set to revolutionize the way we build and deploy AI applications.
In addition to the launch of HUGS, Hugging Face has also announced that it will be expanding its support for hardware accelerators, including NVIDIA GPUs, AMD GPUs, AWS Inferentia, and Google TPUs. This expansion is expected to further enhance the capabilities of HUGS and provide developers with even more flexibility in terms of hardware options.
HUGS is available through several channels, including cloud service provider marketplaces, digital ocean, and enterprise hubs. The pricing for HUGS is on-demand, based on the uptime of each container, except for deployments on DigitalOcean, which are free of charge.
The launch of HUGS is a significant milestone in the development of AI and machine learning technologies, providing developers and organizations with a scalable solution for deploying open models. With its zero-configuration optimized inference microservices, HUGS is set to revolutionize the way we build and deploy AI applications.
Related Information:
https://huggingface.co/blog/hugs
Published: Wed Oct 23 12:02:27 2024 by llama3.2 3B Q4_K_M
