[Blog] The Future of AI-Driven Simulations Brought by NVIDIA DGX B300/B200

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The R&D (research and development) field in manufacturing and mobility development is currently undergoing a significant transformation. The amount of data to be processed and the complexity of simulations are exploding due to the societal implementation of autonomous driving, advanced mobility control in smart cities, and the digital twin of manufacturing processes. In this AX (AI Transformation) era, the key to dramatically shortening the lead time for research and development is the "DGX B200" and "DGX B300" equipped with NVIDIA's Blackwell architecture. In this column, we will explain the technological breakthroughs they bring from two perspectives: "acceleration of CAE" and "autonomous driving simulation."

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We offer a lineup of NVIDIA GPUs optimized for generative AI, LLM, CAE, video production, and scientific computing. The "RTX PRO Blackwell series" for workstations accelerates large-scale AI inference, 3DCG, CAD, and simulation processing with up to 96GB GDDR7 VRAM and PCIe 5.0 support. The "H200 NVL" for servers features 141GB HBM3e memory and an ultra-fast bandwidth of 4.8TB/s, catering to large-scale LLM and HPC applications. Additionally, we also feature the compact AI supercomputer "DGX Spark" and the cost-effective "GeForce RTX 50 series." ■ Key Specifications - Up to 141GB HBM3e / 96GB GDDR7 VRAM - PCIe 5.0 support - Equipped with CUDA / Tensor / RT cores - High bandwidth design for AI inference, CAE, and 3DCG - Models available for both workstations and servers

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