{"author":{"name":"NVIDIA Writers","slug":"nvidia-writers","article_count":4,"latest_published_at":"2026-06-05T15:37:36.516+00:00","profile_url":"https://vff.ai/authors/nvidia-writers","api_url":"https://vff.ai/api/authors/nvidia-writers"},"articles":[{"slug":"seoul-purpose-how-nvidia-and-south-korea-are-building-the-future-of-ai","title":"NVIDIA CEO Huang Visits Seoul to Align AI Supply Chain","url":"https://vff.ai/article/2026/06/05/seoul-purpose-how-nvidia-and-south-korea-are-building-the-future-of-ai","content_type":"aggregated_news","summary":"NVIDIA CEO Jensen Huang visited Seoul to strengthen AI supply chain partnerships and discuss infrastructure buildout. The trip focused on aligning production timelines for Grace Blackwell and Vera Rubin systems during a busy second half of 2026. Huang highlighted robotics and physical AI as major growth opportunities for South Korea, positioning the country as a key hub in the global AI ecosystem.","published_at":"2026-06-05T15:37:36.516+00:00","updated_at":"2026-06-05T15:37:37.049453+00:00","source":{"url":"https://blogs.nvidia.com/blog/korea-ecosystem-2026/","name":"NVIDIA Blog (AI)"},"featured_image":{"url":"https://mrrqbmstywujcvowvptv.supabase.co/storage/v1/object/public/thumbnails/imports/33f49b7ec5b81f4e2d23772aa59bafbf.jpg","alt":null},"categories":[{"name":"AI Hardware","slug":"ai-hardware"},{"name":"AI for Business","slug":"ai-for-business"},{"name":"Infrastructure","slug":"infrastructure"}]},{"slug":"nvidia-ceo-jensen-huang-at-dell-technologies-world-demand-is-going-parabolic-utt","title":"Dell and NVIDIA Target Agentic AI Inference Economics","url":"https://vff.ai/article/2026/05/19/nvidia-ceo-jensen-huang-at-dell-technologies-world-demand-is-going-parabolic-utt","content_type":"aggregated_news","summary":"Dell and NVIDIA announced new AI infrastructure at Dell Technologies World, positioning enterprise AI deployments at scale. Dell's updated AI Factory lineup includes the PowerEdge XE9812 with NVIDIA Vera Rubin NVL72 GPUs, claiming 10x lower cost-per-token for agentic AI inference compared to Blackwell, plus new CPU-based servers with NVIDIA Vera processors optimized for data pipelines and agent workloads. The announcements reflect a shift from AI pilots to production agentic deployments, with Dell projecting global AI infrastructure spending could reach 3-4 trillion dollars by 2030 and token consumption growing 3,400% in the same period.","published_at":"2026-05-19T11:21:46.359+00:00","updated_at":"2026-05-20T02:17:28.324355+00:00","source":{"url":"https://blogs.nvidia.com/blog/dell-technologies-agent-enterprise-ai/","name":"NVIDIA Blog (AI)"},"featured_image":{"url":"https://mrrqbmstywujcvowvptv.supabase.co/storage/v1/object/public/thumbnails/imports/1560d82896498833eac3a8aae14b6eb2.jpg","alt":null},"categories":[{"name":"AI Hardware","slug":"ai-hardware"},{"name":"AI Agents","slug":"ai-agents"},{"name":"Infrastructure","slug":"infrastructure"}]},{"slug":"nvidia-ineffable-intelligence-team-up-to-build-the-future-of-reinforcement-learn","title":"NVIDIA, Ineffable Intelligence Build RL Infrastructure","url":"https://vff.ai/article/2026/05/13/nvidia-ineffable-intelligence-team-up-to-build-the-future-of-reinforcement-learn","content_type":"aggregated_news","summary":"NVIDIA and Ineffable Intelligence, a London-based AI lab founded by AlphaGo architect David Silver, are collaborating to build infrastructure for large-scale reinforcement learning. Unlike pretraining systems that work with fixed datasets, reinforcement learning agents generate data on the fly through continuous act-observe-score-update loops, creating distinct hardware and software demands. The partnership will initially work on NVIDIA Grace Blackwell hardware and explore the upcoming Vera Rubin platform to develop pipelines capable of supporting agents that learn through simulation and experience rather than human data.","published_at":"2026-05-13T14:49:53.872+00:00","updated_at":"2026-05-20T02:33:46.957719+00:00","source":{"url":"https://blogs.nvidia.com/blog/ineffable-intelligence-reinforcement-learning-infrastructure/","name":"NVIDIA Blog (AI)"},"featured_image":{"url":"https://mrrqbmstywujcvowvptv.supabase.co/storage/v1/object/public/thumbnails/imports/bd66497d599e3da3427988746c96b360.png","alt":null},"categories":[{"name":"Data & Training","slug":"data-training"},{"name":"AI Hardware","slug":"ai-hardware"},{"name":"AI Agents","slug":"ai-agents"},{"name":"Infrastructure","slug":"infrastructure"}]},{"slug":"national-robotics-week-latest-physical-ai-research-breakthroughs-and-resources","title":"NVIDIA Releases Robotics Stack to Accelerate Sim-to-Real Deployment","url":"https://vff.ai/article/2026/04/14/national-robotics-week-latest-physical-ai-research-breakthroughs-and-resources","content_type":"aggregated_news","summary":"NVIDIA announced a suite of new robotics tools and models during National Robotics Week, including Isaac GR00T language models for natural language robot control, Cosmos world models for synthetic data generation, and the general availability of Newton 1.0 physics engine and Isaac Sim 6.0. The announcements center on a full-stack cloud-to-robot workflow designed to accelerate development cycles from simulation through real-world deployment. Real-world applications are already emerging, including surgical robotics work by PeritasAI and natural language command systems integrated with warehouse robots.","published_at":"2026-04-14T10:40:38.595+00:00","updated_at":"2026-04-22T00:59:04.768177+00:00","source":{"url":"https://blogs.nvidia.com/blog/national-robotics-week-2026/","name":"NVIDIA Blog (AI)"},"featured_image":{"url":"https://mrrqbmstywujcvowvptv.supabase.co/storage/v1/object/public/thumbnails/imports/c069c35a20185e6f32220be985ccee6e.jpg","alt":null},"categories":[]}]}