NVIDIA Alpamayo compatible HPC workstation
HPC infrastructure to accelerate the inference and simulation of autonomous driving AI.
This is an HPC workstation developed by Applied, optimized for the NVIDIA Alpamayo development environment. It is configured to perform inference, simulation, sensor data analysis, and AI model validation required for autonomous driving system development with high precision and efficiency. Equipped with a high-performance CPU and RTX PRO 6000 Blackwell Max-Q, it supports VLA models, simulation environments, and engineering applications. It also offers installation assistance for Ubuntu 24.04 LTS and framework environment setup, providing an environment that facilitates immediate research and development after installation.
basic information
CPU: AMD Ryzen Threadripper PRO 9965WX (24 cores / 48 threads, 4.2–5.4GHz, 350W) Memory: 128GB (32GB x 4) DDR5-5600 Registered ECC DIMM Storage: 2TB M.2 NVMe PCIe 4.0 GPU: NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition 96GB GDDR7 OS: Ubuntu 24.04 LTS installation service + framework environment setup Power Supply: 1200W / 100V, 80PLUS Platinum certified, ATX3.1 Warranty: 3-year send-back hardware warranty We also support customization according to your needs, such as memory and storage upgrades, GPU changes, OS changes, and parts configuration focused on cooling and durability.
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Applications/Examples of results
It can be utilized for the development of autonomous driving and ADAS, mobility AI research, sensor fusion, vehicle simulation, AI inference model verification, VLA model development, digital twin, robotics, and the development of recognition and decision-making models for traffic environments. It is suitable for research and development environments that handle large volumes of data obtained from multiple sensors such as cameras, LiDAR, and radar, and supports the verification of complex driving scenes that are difficult to achieve with traditional rule-based or individual simulations alone. It can accommodate everything from PoC in universities and research institutions to full-scale development environments in automotive-related manufacturers and component manufacturers, as well as AI development departments.
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[Blog] Generative AI is moving from "answering" to "acting." Starting with agent-type AI using NVIDIA Nemotron.
With the spread of generative AI, including ChatGPT, AI has begun to be utilized in various scenarios such as text generation, summarization, translation, and programming assistance. On the other hand, in corporate and research and development settings, there is an increasing expectation for more advanced AI applications, not just to answer questions, but to: - Automatically search for necessary information from internal technical documents - Compare multiple pieces of information to determine the next course of action - Operate external tools and business systems - Progress through a series of tasks including research, analysis, code generation, and report creation This system, which infers based on objectives and utilizes necessary information and tools to advance tasks, is referred to as "Agentic AI." Supporting this Agentic AI is NVIDIA's open model family, known as NVIDIA Nemotron. In this article, we will introduce what NVIDIA Nemotron is, how it differs from traditional generative AI, and what applications can be considered in manufacturing and research and development.
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[Blog] Unraveling Omniverse: A Platform for Creating Digital Twins
One of the current demands for AI is "physical AI," and I believe there are increasing opportunities to hear related terms such as "Omniverse" and "Isaac Sim." This time, I would like to unravel the current role and position of "Omniverse."
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Applied Corporation is a computer manufacturing company based in Hakata-ku, Fukuoka City, Fukuoka Prefecture, with 65 locations nationwide. We provide the latest business proposals, from cutting-edge computers to the implementation of DX and solutions, for corporate clients across the country.