×
Hugging Face teams with FriendliAI to supercharge AI model deployment
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

Hugging Face and FriendliAI have formed a strategic partnership to enhance AI model deployment capabilities through the Hugging Face Hub, offering developers streamlined access to high-performance inference infrastructure.

Partnership overview: The collaboration integrates FriendliAI Endpoints directly into the Hugging Face Hub, providing users with advanced GPU-based inference capabilities and simplified model deployment options.

  • FriendliAI holds the top ranking as the fastest GPU-based generative AI inference provider according to Artificial Analysis
  • The company’s technology stack includes continuous batching, native quantization, and advanced autoscaling features
  • The integration allows for seamless deployment of both open-source and custom generative AI models

Key deployment features: The partnership builds upon FriendliAI’s existing Hugging Face integration, now offering enhanced capabilities directly within the Hub platform.

  • Users can deploy models with a single click directly from model cards on the Hugging Face Hub
  • The system provides access to NVIDIA H100 GPUs through Friendli Dedicated Endpoints
  • An intuitive interface allows users to interact with and test optimized open-source models during deployment

Technical capabilities: The partnership introduces two main deployment options to meet diverse user needs.

  • Friendli Dedicated Endpoints provides managed services for GPU-optimized inference, specifically designed for NVIDIA H100 GPU deployment
  • Friendli Serverless Endpoints offers optimized APIs for open-source model inference, focusing on performance and cost efficiency
  • The platform includes advanced optimization features that reduce the number of required GPUs while maintaining performance levels

Implementation benefits: The integration addresses several key challenges in AI model deployment and management.

  • Users gain access to cost-effective inference infrastructure without sacrificing performance
  • The platform simplifies infrastructure management complexities
  • Developers can focus on innovation rather than technical deployment challenges

Looking ahead: While the partnership represents a significant advancement in AI model deployment accessibility, continued collaboration between Hugging Face and FriendliAI suggests potential for further innovations in AI infrastructure optimization and deployment solutions.

Hugging Face and FriendliAI partner to supercharge model deployment on the Hub

Recent News

Adani plans $10B data center expansion to meet AI demand

The billionaire's massive investment responds to India's surging cloud computing needs as the country emerges as a critical hub for global technology services.

Data analytics acceleration solves AI’s hidden bottleneck

Data preparation consumes up to 80% of data scientists' time, creating a hidden bottleneck that threatens AI returns despite industry focus on larger models and faster inference chips.

Selling your face to AI could cost more than you think

Performers face lasting consequences after licensing their faces and voices for AI videos that promote questionable content beyond their control.