| Management number | 241234136 | Release Date | 2026/07/17 | List Price | US$1,134.00 | Model Number | 241234136 | ||
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The Lenovo 30GA005TUS is a tower workstation designed for professionals who need powerful and reliable computing for demanding tasks. It features an Intel Xeon w3-2435 processor with eight cores and sixteen threads, delivering strong performance for 3D modeling, data analysis, and multitasking. Equipped with 64GB of DDR5 RAM and a 2TB PCIe 4.0 NVMe SSD, this system handles large files and complex projects with ease. The NVIDIA RTX A2000 graphics card with 12GB of dedicated memory accelerates rendering and GPU-intensive workloads, making it suitable for creative studios, engineering firms, and research environments.
This workstation offers a versatile set of connectivity options to fit into various professional environments. The integrated Wi-Fi 6E and Bluetooth 5.1 provide fast and reliable wireless connections, reducing the need for extensive cabling. The six PCIe slots allow users to add high-speed networking cards, additional GPUs, or capture devices to tailor the system to specific workflows. This flexibility makes it a strong choice for studios, labs, and offices that require scalable hardware configurations.
With a powerful Xeon processor and large DDR5 memory, this workstation maintains smooth performance even under heavy multitasking and complex computations. The NVIDIA RTX A2000 graphics card enhances visual workloads by accelerating rendering and GPU compute tasks. The 1000W Platinum power supply ensures stable power delivery during long sessions, minimizing the risk of interruptions. The chassis design supports extensive storage expansion, allowing users to keep pace with growing data demands without replacing the entire system.
This Lenovo workstation fits well in professional settings where high computational power and expandability are essential. It is well suited to architects working with real-time 3D models, video editors handling high-resolution footage, data scientists running machine learning models, and engineers compiling large datasets. Its robust build and flexible configuration options make it a reliable platform for studios, research labs, and content creation suites that require both performance and future-proofing.
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