| Management number | 241241395 | Release Date | 2026/07/17 | List Price | $1,299.60 | Model Number | 241241395 | ||
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The NVIDIA 900-5G132-2240-000-01 is a professional graphics card from the RTX 5000 Ada Generation designed to handle demanding workloads for designers, engineers, and data scientists. Built on the Ada Lovelace architecture, it features 12,800 CUDA cores and 32 GB of ECC GDDR6 memory, enabling it to manage large models, simulations, and datasets efficiently. This card supports high-resolution multi-display setups and offers hardware-accelerated ray tracing and AI capabilities, making it a powerful tool for complex visual computing tasks.
This graphics card connects via a PCIe 4.0 x16 slot, ensuring fast data transfer rates between the GPU and the rest of the system. The four DisplayPort 1.4a outputs allow flexible multi-monitor configurations, supporting ultra-high resolutions that suit professional CAD, animation, and data visualization environments. Its compatibility with NVIDIA RTX Virtual Workstation software makes it suitable for virtualized workflows, supporting remote teams and cloud-based applications.
With its advanced Ada Lovelace architecture, the card delivers accelerated ray tracing and AI processing, which significantly speeds up rendering and computational tasks. The 32 GB of ECC memory not only provides ample capacity but also ensures data integrity during intensive workloads. The blower style cooler efficiently manages heat by directing it out of the chassis, which helps maintain stable performance even in tightly packed or rack-mounted systems.
This graphics card is well suited to professionals working in design, engineering, scientific research, and content creation who require high computational power and large memory capacity. It fits well in workstation environments where multi-display setups and virtualization are common, such as animation studios, engineering firms, and data science labs. Its efficient cooling and power design also make it a strong choice for dense workstation builds and remote collaboration setups.
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