{"author":{"name":"Bhoomi Gadhia","slug":"bhoomi-gadhia","article_count":1,"latest_published_at":"2026-04-28T15:28:58.362+00:00","profile_url":"https://vff.ai/authors/bhoomi-gadhia","api_url":"https://vff.ai/api/authors/bhoomi-gadhia"},"articles":[{"slug":"into-the-omniverse-manufacturing-s-simulation-first-era-has-arrived","title":"Manufacturing Goes Simulation-First as OpenUSD Becomes the Standard","url":"https://vff.ai/article/2026/04/28/into-the-omniverse-manufacturing-s-simulation-first-era-has-arrived","content_type":"aggregated_news","summary":"Manufacturing is shifting from real-world testing as the primary validation method to simulation-first workflows powered by high-fidelity digital twins and synthetic training data. OpenUSD and NVIDIA Omniverse have emerged as the connective standards enabling this transition, with SimReady defining the content requirements for physically accurate 3D assets that work reliably across design, simulation, and AI training pipelines. Early adopters like ABB Robotics, JLR, and Tulip are already reporting significant operational gains, including 99% sim-to-real accuracy, 4-hour-to-1-minute simulation cycles, and substantial reductions in product introduction and commissioning timelines.","published_at":"2026-04-28T15:28:58.362+00:00","updated_at":"2026-04-28T15:28:58.443629+00:00","source":{"url":"https://blogs.nvidia.com/blog/manufacturing-simulation-first/","name":"NVIDIA Blog (AI)"},"featured_image":{"url":"https://mrrqbmstywujcvowvptv.supabase.co/storage/v1/object/public/thumbnails/imports/f7547877dd618154d593b0ddc60f5ae3.jpg","alt":null},"categories":[{"name":"Data & Training","slug":"data-training"},{"name":"AI Hardware","slug":"ai-hardware"},{"name":"AI for Business","slug":"ai-for-business"},{"name":"Infrastructure","slug":"infrastructure"}]}]}