- August 11, 2024
- 3 min read
NVIDIA and Hugging Face Collaborate to Bring Accelerated AI Inference to Developers
NVIDIA NIM Revolutionizes AI Inference with Hugging Face Collaboration
In a groundbreaking collaboration, NVIDIA and Hugging Face have joined forces to bring a game-changing inference-as-a-service capability to developers worldwide. Powered by NVIDIA’s cutting-edge NIM (NVIDIA Inference Microservices), this new service on the Hugging Face platform offers seamless access to accelerated inference for popular AI models, revolutionizing the way developers prototype and deploy large language models.
Unleashing the Power of NVIDIA NIM on Hugging Face
The OpenAI ChatGPT integration on UBOS has been a game-changer, and this collaboration takes it a step further. Developers can now rapidly deploy leading large language models like the Llama 3 family and Mistral AI models, optimized by NVIDIA NIM microservices running on the NVIDIA DGX Cloud. This powerful combination enables developers to quickly prototype with open-source AI models hosted on the Hugging Face Hub and deploy them in production with unparalleled efficiency.
Inference-as-a-Service: Accelerating AI Development
The Hugging Face inference-as-a-service on NVIDIA DGX Cloud, powered by NIM microservices, offers developers easy access to compute resources optimized for AI deployment. The NVIDIA DGX Cloud platform, purpose-built for generative AI, provides scalable GPU resources that support every step of AI development, from prototype to production. With easy access to this powerful infrastructure, developers can focus on innovation without worrying about the underlying complexities.
“Very excited to see that Hugging Face is becoming the gateway for AI compute!” – Clem Delangue, CEO at Hugging Face
Benefits of Inference-as-a-Service
The Hugging Face inference-as-a-service on NVIDIA DGX Cloud offers several key benefits:
- Streamlined access to NVIDIA-accelerated inference for popular AI models
- Seamless integration with the Hugging Face Hub and its vast collection of open-source AI models
- Scalable GPU resources optimized for AI deployment, enabling rapid prototyping and production deployment
- Compatibility with the OpenAI API, allowing developers to leverage existing tools and frameworks
Integration with NVIDIA Tools and Frameworks
Hugging Face is actively working with NVIDIA to integrate the NVIDIA TensorRT-LLM library into its Text Generation Inference (TGI) framework, further enhancing AI inference performance and accessibility. Additionally, at SIGGRAPH, NVIDIA introduced generative AI models and NIM microservices for the OpenUSD framework, empowering developers to build highly accurate virtual worlds for the next evolution of AI.
Industry Reactions and Adoption
The collaboration between NVIDIA and Hugging Face has generated significant excitement within the AI community. Kaggle Master Rohan Paul shared his thoughts on X, saying, “So, we can use open models with the accelerated compute platform of NVIDIA DGX Cloud for inference serving. Code is fully compatible with OpenAI API, allowing you to use the openai’s sdk for inference.”
As the demand for AI solutions continues to soar, this collaboration promises to accelerate the adoption of generative AI across various industries, enabling developers to create innovative applications and solutions with unprecedented speed and efficiency.
Conclusion
The integration of NVIDIA NIM on Hugging Face represents a significant milestone in the democratization of AI development. By combining the power of NVIDIA’s cutting-edge inference technologies with the vast collection of open-source AI models on Hugging Face, developers now have access to a powerful platform that streamlines the entire AI development lifecycle. With this collaboration, the enterprise AI platform by UBOS becomes even more powerful, enabling businesses to harness the full potential of generative AI and drive innovation at an unprecedented pace.
