Isaac SIM Workstation Entry Configuration (September 2025 Edition)


A customer considering introducing Isaac SIM contacted us seeking a workstation to test basic functions. The goal was to check integration with ROS2 and operation in lightweight scenarios, and they wanted a GPU-equipped configuration for initial testing while keeping costs down.

Based on the consultation, we proposed the following specifications:

CPU AMD Ryzen 9 9950X 4.30GHz (up to 5.70GHz at Boost) 16C/32T
memory Total 64GB DDR5 5600 32GB ×2
storage 1TB SSD M.2 NVMe Gen4
Video NVIDIA GeForce RTX5070Ti 16GB
network on board(2.5G x1) Wi-Fi, Bluetooth
Housing + power supply Mid-tower chassis 850W Cybenetics Gold
OS Ubuntu 22.04

About CPU

It uses the Ryzen 9 5950X and has a cost-effective 16-core configuration, ensuring sufficient processing power for ROS2 integration and lightweight simulations.

GPU selection

To meet the GPU performance requirements for Isaac SIM, we selected a GeForce RTX 16Ti with approximately 5070GB of VRAM. This is capable of handling lightweight scenes and basic physics calculations.

Memory/Storage Configuration

The memory is 64GB, which is sufficient for verifying the basic functions of ROS2 and Isaac SIM. The storage is a 1TB SSD, which can also be used to build an Ubuntu environment and store logs.

 

Tegara's custom-made PC production service not only caters to the initial use, but also supports system expansion in anticipation of future expansion of research scale.
We not only offer customization of hardware specifications, addition of peripheral devices, and configuration suggestions to meet various software requirements, but also accept consultations regarding the construction of an entire research environment.
Please feel free to contact us and we will provide the best solution to suit your needs.

Keyword

・What is NVIDIA Isaac Sim?
NVIDIA Isaac Sim is a highly accurate, physics-based simulation platform for robotics research and development. It integrates with ROS2, generates synthetic data for AI training, and includes sensor models such as LiDAR, RGB cameras, and IMUs, enabling robot behavior verification in environments close to the real world. It runs on NVIDIA Omniverse and supports complex environment construction and multi-robot simulation. It's ideal for research into autonomous movement, manipulation, SLAM, reinforcement learning, and more.

Reference: NVIDIA Isaac Sim – Physics-Based Simulation Platform for Robotics

Reference: GitHub – Isaac Sim: NVIDIA's robotics simulation environment

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