Hugging Face· Platform

Accelerate a World of LLMs on Hugging Face with NVIDIA NIM

AI builders want a choice of the latest large language models (LLM) architectures and specialized variants for use in AI agents and other apps, but handling all the diversity can slow testing and deployment pipelines. In particular, managing and optimizing different inference software frameworks to achieve best performance across varied LLMs and serving requirements is a time-consuming bottleneck to getting performant AI apps in the hands of end-users. NVIDIA AI customers and ecosystem partners leverage NVIDIA NIM inference microservices to streamline deployment of the latest AI models on NVIDIA accelerated infrastructure, including LLMs, multi-modal and domain-specific models from NVIDIA, Meta, Mistral AI, Google and hundreds more innovative model builders. We’ve seen customers and partners deliver more innovation, faster, with a simplified, reliable approach to model deployment, and today we’re excited to unlock over 100,000 LLMs on Hugging Face for rapid, reliable deployment with NIM. …

Announced

21 Jul 2025 18:01 UTC

Detected

03 Aug 2026 21:12 UTC (+378d after)