Physics Simulations
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BeyondMath: Enabling Real-Time Physics Simulations for Engineering Design
NVIDIA· 2025-10-30 21:12
Engineering Design & AI - AI is essential for accelerating engineering design with real-time physics, addressing the challenge of lengthy physical consequence analysis [1][2] - Optimizing designs for maximum performance requires running tens of thousands of iterations, achievable through AI built on high-level AI libraries like PyTorch, CUDA, and NVIDIA technology [2] - The company uses GPUs in the cloud for continuous model training to achieve the necessary scale, considering it the only viable solution without NVIDIA [3] NVIDIA Inception Program Benefits - The company acquired DGX H200 hardware through NVIDIA's Inception program, becoming one of the first to receive these units [3] - The Inception program provides valuable discounts on hardware, offering immediate financial benefits [4] - The program facilitates connections with NVIDIA teams and access to events like GTC, providing advantages that would otherwise be unavailable [4][5] Market Impact & Vision - AI is fundamentally changing engineering and has the potential to transform everyone's life [5] - The company is driven by the gap between the potential of AI and its current real-world application [5]
World's First Interactive AI-Enabled Fusion Reactor Digital Twin
NVIDIA· 2025-10-28 22:07
Fusion Energy Research - Fusion energy is a safe, clean, and virtually unlimited source of power, representing one of science's greatest opportunities [1] - Controlling plasma hotter than the sun's core requires solving complex physics, posing a significant challenge [1] AI and Digital Twin Technology in Fusion - General Atomics and international partners are using AI to advance fusion research at the D3D National Fusion Facility [2] - The team is building a fully interactive digital twin of the D3D tokamak inside Nvidia Omniverse [2] - The digital twin integrates sensor data, physics simulations, engineering, and AI models to create a virtual reactor [2] - Surrogate models, trained on decades of real-world data and running on NVIDIA GPUs, deliver accurate predictions at unprecedented speed [3] Applications and Goals - The digital twin allows for exploring key controls to refine the science before conducting real experiments [3] - The platform aims to optimize reactor designs and accelerate commercial fusion [3] - The ultimate goal is to make the sun's power programmable [3]