アプライド Product Lineup

"Ignite Sim" is a platform that accelerates robot development, testing, and validation through NVIDIA Omniverse. In physical AI and AI robotics development, there are significant costs associated with data collection in the real world, and challenges in collecting data for corner cases. Operating untrained robots in real environments also carries the risk of damaging the surrounding environment. By conducting training and simulation on this platform, rapid learning is possible through GPUs. This overcomes safety risks and time constraints, accelerating development. 【Features】 ■ Solves the challenges of data scarcity and cost ■ Provides a safe training environment for untrained robots ■ Enables rapid learning through GPU in simulations ■ Overcomes time constraints in the real world *For more details, please download the PDF or feel free to contact us.

NVIDIA Newton Physics is an open-source and high-speed GPU physics engine for robotics and simulation research, co-developed by NVIDIA, Google DeepMind, and Disney Research, and managed by the Linux Foundation. Announced in March 2025, it aims to safely and quickly transfer skills learned by robots in virtual environments (simulations) to real-world environments (sim-to-real). It requires NVIDIA's powerful GPUs to compute high-precision physical behaviors at high speed.

"Ansys Twin Builder" is a hybrid digital twin platform. It reduces the vast computational load of finite element methods and CFD. Multi-physics coupling analysis is performed in real-time without sacrificing accuracy. It matches virtual data with actual measurements. AI algorithms learn from errors, significantly enhancing the accuracy of the digital twin. [Features] ■ Innovative ROM technology (Speed & Accuracy) ■ Intelligence through TwinAI (Physics × Data) ■ Seamless MBD development and operation (End-to-End) *For more details, please download the PDF or feel free to contact us.

The graphics card selected is the popular NVIDIA RTX6000 Blackwell! DIVP (Driving Intelligence Validation Platform) is a platform designed to streamline the safety evaluation of autonomous driving systems. Therefore, it is very important to choose a PC that can comfortably run simulations, as it allows for simulations that take into account various environmental factors (such as weather, road conditions, and the shape and color of vehicles).

"Ansys SimAI" is software that performs simulation predictions at the speed of AI. It predicts simulation accuracy that would normally take several days in just a few seconds to a few minutes. This shortens the design cycle to 1/10 to 1/100 of the original time. No coding knowledge is required. By simply uploading past data through an intuitive desktop UI, AI models are generated. 【Features】 ■ Learning that is independent of mesh and shape ■ Support for various physical fields ■ Visualization of confidence levels *For more details, please download the PDF or feel free to contact us.

This lineup features NVIDIA GPU solutions that support a wide range of research and development as well as creative applications, from generative AI, LLM, CAE, to 3DCG production. It includes a broad selection from the "RTX PRO series" for workstations, "H200 NVL" for AI/HPC, the compact AI supercomputer "DGX Spark," to the high cost-performance "GeForce RTX 50 series." We propose the optimal GPU environment for research institutions, universities, manufacturing, and design development departments. ■ Example of featured products - NVIDIA RTX PRO Blackwell series - NVIDIA H200 NVL - NVIDIA DGX Spark - GeForce RTX 5090 / 5080 / 5070Ti, among others ■ Main applications - Generative AI / Local LLM development - CAE / CFD / Structural analysis - 3DCG / CAD / Video production - AI image analysis / Data science - Scientific and technical computing (HPC)

NVIDIA PhysicsNeMo is a physics AI framework that combines physical laws and AI to accelerate simulations of fluids, heat, structures, and more. This product is a GPU workstation that allows for comfortable execution of learning, inference, and what-if validation of PhysicsNeMo in a local environment. It offers a balanced model equipped with an AMD Ryzen 9 and RTX PRO 4500 Blackwell, as well as a large-scale analysis model featuring a Threadripper and RTX PRO 6000 Blackwell Max-Q. It adopts Ubuntu 24.04 LTS and supports development environments utilizing PyTorch, Docker, Google Colab, and Magnum IO. It allows for quick verification of the results of design variable changes, supporting the efficiency of design exploration and digital twin development.