About
Hugging Face, Inc., is an American company based in New York City that develops computation tools for building applications using machine learning. Its transformers library built for natural language processing applications and its platform allow users to share machine learning models and datasets. The company is known for its open-source tools and model repositories, supporting a wide range of AI tasks including text generation, translation, and sentiment analysis.
News digest
Hugging Face continues to solidify its position as a leading open-source AI platform in 2026, hosting nearly 2 million models and supporting over 8 million developers. The company recently released FineTranslations, a massive multilingual dataset with over one trillion tokens across 500+ languages, enhancing its data resources for AI development. Hugging Face is also deepening strategic partnerships, notably with NVIDIA, integrating open-source robotics frameworks and models into its ecosystem, which is now the fastest-growing category on its platform. This collaboration was highlighted at CES 2026 with demonstrations of AI agents embodied in robots like Reachy Mini. On the corporate front, CEO Clem Delangue has cautioned the industry about an "LLM bubble" (large language models) that may burst, contrasting Hugging Face’s capital-efficient approach with competitors’ heavy spending. The company maintains substantial funding reserves, positioning itself for sustainable growth amid evolving AI market dynamics. Additionally, Hugging Face is expanding enterprise offerings to help organizations deploy and manage AI models at scale, challenging proprietary AI platforms by enabling customized AI solutions built on community-developed models. Integration with major cloud platforms like Microsoft Azure Foundry further enhances its production-ready deployment capabilities. Overall, Hugging Face is advancing its mission to democratize AI through open source while navigating market challenges with a long-term strategic focus.
MicrosoftFeb 02, 2026 · Open‑source AI is moving fast, with important breakthroughs in reasoning, agentic systems, multimodality, and efficiency emerging every day. Hugging Face has been a leading platform where researchers, startups, and ... MicrosoftFeb 02, 2026 · Open‑source AI is moving fast, with important breakthroughs in reasoning, agentic systems, multimodality, and efficiency emerging every day. Hugging Face has been a leading platform where researchers, startups, and developers share and discover new models. Learn about one-click deployments from the Hugging Face Hub on Microsoft Foundry · Explore models in Microsoft Foundry · Updated Feb 02, 2026Version 1.0 · artifical intelligence · artificial intelligence · azure ai · foundry tools · genaiops · generative ai · Open‑source AI is moving fast, with important breakthroughs in reasoning, agentic systems, multimodality, and efficiency emerging every day. Hugging Face has been a leading platform where researchers, startups, and developers share and discover new models. Microsoft Foundry brings these trending Hugging Face models into a production‑ready experience, where developers can explore, evaluate, and deploy them within their Azure environment. Our weekly Model Monday’s series highlights Hugging Face models available in Foundry, focusing on what matters most to developers: why a model is interesting, where it fits, and how to put it to work quickly.
In the CES keynote today, Jensen Huang demonstrated how to do exactly that, using the processing power of NVIDIA DGX Spark with Reachy Mini, an open-source desktop robot by Hugging Face and Pollen Robotics, to create your own personal office R2-D2 that you can interact with and collaborate on projects. In the CES keynote today, Jensen Huang demonstrated how to do exactly that, using the processing power of NVIDIA DGX Spark with Reachy Mini, an open-source desktop robot by Hugging Face and Pollen Robotics, to create your own personal office R2-D2 that you can interact with and collaborate on projects. Matthieu also emphasized Reachy Mini’s openness: a simple white shell designed to be customized, and an open software stack deeply integrated with Hugging Face, allowing developers to build and deploy AI behaviors with just a few lines of Python. With a shared mission of making technology accessible, Seeed Studio worked closely with Hugging Face and Pollen Robotics throughout the journey of Reachy Mini — from early prototypes to large-scale production — helping transform an open-source vision into a robot safely delivered to thousands of users worldwide. Beyond Reachy Mini, we continue to support a growing lineup of open-source robotics kits and platforms — including SO-ARM101, Amazing Hand, LeKiwi, as well as NVIDIA Jetson–based platforms for advanced AI computing. Together, they are designed to work seamlessly with the Hugging Face LeRobot ecosystem, enabling end-to-end robot learning, experimentation, and real-world deployment.
NVIDIA is building open models that allow developers to bypass resource-intensive pretraining and focus on creating the next generation of AI robots and autonomous machines. These new models, all available on Hugging Face, include: © 2026 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, DGX Spark, Jetson, Jetson AGX Thor, Jetson Orin, NVIDIA Cosmos and NVIDIA Isaac are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. NVIDIA is building open models that allow developers to bypass resource-intensive pretraining and focus on creating the next generation of AI robots and autonomous machines. These new models, all available on Hugging Face, include: NVIDIA and Hugging Face Accelerate Open-Source Physical AI Development Robotics is now the fastest-growing category on Hugging Face, where NVIDIA’s open models and datasets lead downloads among a surging open-source community. To bolster this community, NVIDIA is working with Hugging Face to integrate open-source Isaac and GR00T technologies into the leading LeRobot open-source robotics framework, providing streamlined access to integrated software and hardware tools that accelerate end-to-end development.
2026 = the year AI shifts from "assistant" to "colleague"! Say goodbye to passive chatbots waiting for your commands. Welcome to the era of autonomous AI Agents, ultra-efficient Small Language Models, and one-click code generation. Hugging Face · Back to Articles · Community Article Published January 1, 2026 · Upvote · 1 · vloplok · RDTvlokip · Follow · 2026 = the year AI shifts from "assistant" to "colleague"! Say goodbye to passive chatbots waiting for your commands. Welcome to the era of autonomous AI Agents, ultra-efficient Small Language Models, and one-click code generation. ⚠️ "Agents everywhere without strategy" → 40% failure guaranteed (Gartner) ⚠️ "We'll see governance later" → Huge legal/ethical risks ⚠️ "No need to redesign workflows" → 80% of value lost ⚠️ "AI will solve everything" → Hype ≠ Reality, stay pragmatic ⚠️ "Ignore legacy systems" → Technical blockage guaranteed But beware: deepfakes, bias, governance are MAJOR challenges. The 2026 winners? Those who adopt centralized strategy, redesign workflows, and manage ethical risks. AI is no longer an experiment, it's the core infrastructure of the modern enterprise. Those who delay = lose. Q: How to protect against deepfakes in 2026? A: Multi-source verification: never trust a single video. Use detection tools (Google, Microsoft have APIs). For companies: deploy multimodal monitoring agents that scan real-time. Implement watermarking on all official content.
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Hugging Face CEO Clem Delangue just delivered a reality check that's sending ripples through Silicon Valley. Speaking at an Axios event, he declared we're not facing an AI bubble - we're in an "LLM bubble" that could burst next year. The emperor of AI might not be wearing clothes after all. Hugging Face CEO Clem Delangue just called out what many have whispered privately - the industry's obsession with large language models has created a bubble that's about to pop. While competitors burn through billions chasing the next GPT breakthrough, Hugging Face still has half of its $400 million funding sitting in the bank. "In AI standards, that's called profitability because the other guys - it's not hundreds of millions that they're spending. Delangue's 15-year AI career spans multiple hype cycles, giving him perspective that many newer entrants lack. He's watched neural networks fall out of favor in the 2010s before roaring back with transformers. This institutional memory shapes Hugging Face's patient approach while others panic about being left behind. The implications extend beyond Hugging Face's business model. If Delangue is right, the current infrastructure arms race - with companies building massive data centers and hoarding GPUs - could leave many players with stranded assets.