$30,790.00 cheaper than the new price!!
Management number | 202048213 | Release Date | 2025/09/19 | List Price | $30,790.00 | Model Number | 202048213 | ||
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The PNY VCNRTX6000ADA-PB is a professional graphics card built on the NVIDIA Ada Lovelace architecture. It delivers the raw throughput and specialized cores needed for demanding tasks such as deep learning, complex simulation, or real-time ray-traced rendering in a desktop workstation.
Inside the GPU you will find 18,176 CUDA cores ready to accelerate parallel compute work. For data scientists and machine learning engineers, 568 fourth-generation Tensor Cores handle mixed-precision calculations that speed up training and inference. Artists and visualization teams benefit from 142 third-generation RT Cores that generate accurate reflections, shadows, and global illumination without the long waits associated with traditional offline rendering.
The card carries 48 GB of error-correcting GDDR6 memory connected through a 384-bit interface. Its 960 GB per second memory bandwidth keeps large assemblies, high-resolution textures, and massive datasets flowing without bottlenecks, whether you are handling multi-layer compositing in post-production or exploring point clouds in an architectural model.
Installation is straightforward. A PCI Express 4.0 x16 slot provides high-bandwidth communication with the CPU, and the card occupies two expansion slots in the chassis. Four DisplayPort 1.4 connectors support up to four 5K monitors for an expansive desktop or immersive VR headset output.
Cooling is managed by a single blower style fan that draws air across the heatsink and exhausts it out of the rear bracket, an approach that suits densely packed workstation cases. Power comes from one 16-pin PCIe connector, and the board’s 300 W draw means a quality power supply is required.
Engineers working on intricate CAD assemblies, researchers iterating large language models, and content creators building photoreal environments will all find the RTX 6000 Ada delivers the performance headroom they need. It is a balanced choice for studios, design firms, and research labs that rely on dependable, large-memory GPUs for daily production.
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