NVIDIA

🌍 At the #AIforGood Summit in Geneva, we are helping shape how AI is built for global impact. From closing the infrastructure gap and expanding access to compute to advancing digital trust in an era of autonomous systems, we are working with leaders across sectors to ensure AI benefits everyone—not just a few. As adoption scales, trust is becoming the defining challenge. Conversations focus on building AI ecosystems that connect data, governance, and collaboration—moving from fragmented efforts to integrated, scalable systems. NVIDIA is also joining global music leaders, including John Legend, to explore how generative AI is transforming creativity and raising new questions about ownership, collaboration, and human expression. Across every discussion, building AI for good requires infrastructure, trust, and global cooperation. Check out our sessions: https://nvda.ws/4eKpfBG

Open models are becoming the foundation for modern AI research. At #ICML2026, 145 accepted papers cite NVIDIA Nemotron models and datasets, 74 NVIDIA papers were accepted, and ~2,000 accepted papers cite NVIDIA GPUs. See what researchers are building: https://nvda.ws/44MmhYP

Beamr is raising the bar for live sports streaming with NVIDIA RTX Video Super Resolution, enabling premium 4K/1080p experiences that are quality-validated, bitrate-efficient, and ready to deliver without rethinking the entire workflow.

NVIDIA Highlights Sharon AI as an Early Partner in New AI Infrastructure Initiative We're proud to share that NVIDIA has featured Sharon AI, Inc in its latest announcement introducing a new business model designed to expand access to AI infrastructure at scale. In the announcement, NVIDIA outlines a new approach to supporting the next generation of AI factories, helping AI cloud providers deliver accelerated computing to startups, enterprises, model builders and research organisations through a revenue-sharing and credit-support model. As part of the announcement, NVIDIA identified Sharon AI as one of the first companies working with NVIDIA under this new initiative. The post also highlights Sharon AI's planned deployment of up to 40,000 NVIDIA Grace Blackwell GB300 GPUs, supporting our mission to build sovereign, large-scale AI compute infrastructure capable of serving the growing demands of AI training and inference. As our CEO and Co-Founder, James Manning, said in the announcement: "This strategic collaboration with NVIDIA marks a pivotal moment in Sharon AI's mission to deliver sovereign, large-scale AI compute infrastructure." The rapid adoption of AI is driving unprecedented demand for scalable, high-performance compute. We're excited to be working alongside NVIDIA as this next generation of AI infrastructure is deployed, helping provide customers with access to world-class accelerated computing that can support the most demanding AI workloads. We're honoured to be recognised by NVIDIA as an early participant in this initiative and look forward to continuing to build the infrastructure that will power the next wave of AI innovation. We encourage customers, partners and the broader AI community to read NVIDIA's announcement and follow our journey as we continue expanding Sharon AI's AI factory capabilities. 🔗 Read the full article: https://lnkd.in/e9u_greS $SHAZ $NVDA

Thank you to the partners across America helping bring the supply chain home. In 43 states and growing, NVIDIA’s network of American partners and suppliers spans semiconductors, boards, systems, racks, and more. Together, we’re helping create the tools for better healthcare, breakthrough scientific discovery, stronger industrial productivity, and global technology leadership.

AI is shifting from model training to always-on token production, and that shift demands a new business model. NVIDIA is partnering with AI clouds to deploy large‑scale, multi‑tenant AI factories through revenue-sharing and credit-support. This opens up compute access to the fast‑growing AI ecosystem of startups, model builders, enterprises, research organizations and regional AI players. 🔗 Read more: https://nvda.ws/4bkMsJM

Before a robot can change the world, it needs software that builders can trust. NVIDIA robotics engineer Jaiveer Singh leads the team behind Isaac ROS, an open source platform helping developers build autonomous mobile robots, manipulation systems and humanoids with modular, CUDA-accelerated libraries and AI models. “When more people can build robots,” he says, “the future gets here faster.” Read more about Jaiveer and the Isaac ROS team’s work here: https://nvda.ws/4xQEMsu

America is a nation of builders. For 250 years, America has built railroads that connected a continent, power grids that lit up cities, factories that powered prosperity, semiconductors that made the digital age possible, and the internet that opened knowledge to the world. Now, America is building again. NVIDIA and our partners are investing in American manufacturing, supply chains, energy grids, and skilled workforces to help people build more, discover faster, and solve the nation’s and the planet’s most important problems. See how AI is creating new opportunities to build in America: https://nvda.ws/4xTX8ZF