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Inference-as-a-Service with NVIDIA NIM is introduced by Hugging Face for AI Developers! 😉

Inference-as-a-Service with NVIDIA NIM is introduced by Hugging Face for AI Developers! 😉

Revolutionizing AI Development with Hugging Face and NVIDIA Collaboration 🚀

Hugging Face, one of the leading AI community platforms, has partnered with NVIDIA to introduce Inference-as-a-Service powered by NVIDIA’s NIM microservices. This collaboration aims to enhance the efficiency and accessibility of AI models for developers, providing a significant boost in token efficiency and immediate access to NVIDIA DGX Cloud.

Enhanced AI Model Efficiency 🤖

This innovative service, unveiled at the SIGGRAPH conference, empowers developers to quickly deploy top-tier large language models like the Llama 3 family and Mistral AI models. These models are fine-tuned using NVIDIA NIM microservices on the NVIDIA DGX Cloud platform.

  • Developers can experiment with open-source AI models on the Hugging Face Hub and seamlessly transition them into production.
  • Enterprise Hub users can leverage serverless inference for enhanced flexibility and optimized performance.

Streamlined AI Development Process 📈

The Inference-as-a-Service offering complements the existing Train on DGX Cloud service available on Hugging Face, providing developers with a centralized platform to compare, experiment, test, and deploy cutting-edge AI models on NVIDIA-accelerated infrastructure.

  • Tools are easily accessible through the intuitive “Train” and “Deploy” drop-down menus on Hugging Face model cards.
  • Users can kickstart their projects with just a few clicks, facilitating a streamlined development process.

NVIDIA NIM Microservices Advantage 💡

NVIDIA NIM comprises a range of AI microservices, featuring NVIDIA AI foundation models and community models optimized for inference with industry-standard APIs. This collection offers superior token processing efficiency, elevating the performance of NVIDIA DGX Cloud infrastructure and speeding up critical AI applications.

  • The 70-billion-parameter version of Llama 3 exhibits up to 5x higher throughput as a NIM compared to standard deployment on NVIDIA H100 Tensor Core GPU-powered systems.

Accessible AI Acceleration 🌐

The NVIDIA DGX Cloud platform caters specifically to generative AI, granting developers convenient access to dependable accelerated computing infrastructure. This platform supports every phase of AI development, from prototyping to deployment, without necessitating long-term commitments to AI infrastructure.

  • Hugging Face’s Inference-as-a-Service on NVIDIA DGX Cloud, fueled by NIM microservices, provides effortless access to tailored compute resources for AI deployment.
  • Users can explore the latest AI models within a sophisticated enterprise-grade environment.

Exciting Developments at SIGGRAPH 🌟

NVIDIA also introduced generative AI models and NIM microservices for the OpenUSD framework at the SIGGRAPH conference, accelerating developers’ capabilities to construct highly precise virtual worlds for the next wave of AI evolution.

For additional information, please visit the official NVIDIA Blog.

Hot Take: Embrace the Future of AI Development with Hugging Face and NVIDIA! 🚀

Take advantage of the game-changing collaboration between Hugging Face and NVIDIA to elevate your AI development endeavors. With enhanced model efficiency and streamlined development processes, you can delve into the realm of AI innovation like never before. Explore the possibilities and unlock the potential of cutting-edge AI models with ease. Embrace the future of AI development today!

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Inference-as-a-Service with NVIDIA NIM is introduced by Hugging Face for AI Developers! 😉