| Management number | 241241321 | Release Date | 2026/07/17 | List Price | $81.20 | Model Number | 241241321 | ||
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The PNY VCNRTXA400ATX-PB is a workstation graphics card designed to bring the power of NVIDIA's Ampere architecture to compact and power-sensitive systems. Equipped with 768 CUDA cores and 4 GB of GDDR6 memory, it delivers steady performance for design, visualization, and media workflows. Its second-generation RT cores and third-generation Tensor cores enable real-time ray tracing and AI acceleration, allowing professionals to preview lighting effects, run generative design tasks, and apply GPU-accelerated video effects efficiently.
This graphics card connects via a PCIe 4.0 x8 interface, ensuring high bandwidth for data transfer and compatibility with modern workstation motherboards. The four Mini DisplayPort 1.4a connectors allow direct connection to high-resolution monitors, supporting up to four 5K displays simultaneously. Its support for AV1 decode and HDCP 2.2 makes it suitable for handling contemporary media playback and protected content.
The card’s blower-style cooling design effectively manages heat by directing it out of the chassis, which helps maintain stable operation even in compact or densely packed systems. Its 50-watt power draw keeps energy consumption low, reducing strain on the power supply and allowing for quieter, cooler workstation environments. The integration of NVIDIA Mosaic and RTX IO technologies further enhances multi-display synchronization and data streaming performance, making it a dependable choice for professional workloads.
This graphics card fits well in small form factor workstations used by architects, engineers, and content creators who need reliable GPU acceleration for 3D visualization, generative design, and video editing. It is a strong choice for setups requiring multiple high-resolution displays, such as control rooms, trading floors, or collaborative design studios. Its efficient power and cooling profile also make it suitable for power-conscious environments without sacrificing performance.
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