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]

For decades, fusion energy, the process that powers the sun, has been one of science's greatest opportunities. Cracking it would give us a safe, clean, and virtually unlimited source of power. Controlling plasma hotter than the sun's core means solving physics so complex that even the fastest supercomputers struggle to simulate it.At the forefront of this effort, General Atomics researchers and international partners at the D3D National Fusion Facility are using AI to push fusion research forward. The team ...