PNY NVIDIA RTX 2000 Ada Generation Workstation GPU, 16GB GDDR6, 2816 CUDA Cores, 224 GB/s Bandwidth, 4 Display Outputs, VCNRTX2000ADA-PB

PNY NVIDIA RTX 2000 Ada Generation Workstation GPU with 16GB GDDR6 memory and 2816 CUDA cores delivers powerful performance for workstations and professional applications. Featuring 224 GB/s memory bandwidth and 4 display outputs, this GPU excels in graphic rendering, AI tasks, and machine learning. Built on the advanced Ada Lovelace architecture and supporting PCIe 4.0, it provides exceptional visual computing and real-time performance for demanding projects.

NVIDIA Ada Lovelace Architecture

The NVIDIA RTX™ 2000 Ada Generation, based on the Ada Lovelace architecture, gives professionals the power of the latest RTX technology for accelerated ray tracing and AI to drive advanced visualization, creative, and design workflows for mainstream applications.

CUDA Cores

The NVIDIA Ada Lovelace architecture-based CUDA Cores deliver up to 1.5X the single-precision floating-point (FP32) throughput compared to the previous generation, providing significant performance improvements for graphics workflows such as 3D model development and single-precision compute for workloads like desktop simulation for CAE.

Third-Generation RT Cores

Third-generation RT cores in the RTX 2000 provide up to 1.7X faster ray tracing performance over the previous generation, significantly boosting rendering speeds for content creation, design reviews, and virtual manufacturing prototyping. Enhanced RT cores and Shader Execution Reordering (SER) technology optimize shader performance, further accelerating ray traced image rendering.

Fourth-Generation Tensor Cores

Fourth-generation Tensor Cores provide support for the new FP8 data format for inference providing up to 1.8X higher throughput for tensor matrix operations than the previous generation and reducing data memory usage by half compared to the FP16 data format for more efficient execution of workloads using a mix of computation and addressing calculations.