




NVIDIA Blackwell Architecture workstation GPU
16GB GDDR7 memory with ECC protection
4,352 CUDA Cores for accelerated compute performance
5th Gen Tensor Cores for AI acceleration
4th Gen RT Cores for real-time ray tracing
PCIe 5.0 x8 interface for high bandwidth
4× Mini DisplayPort 2.1b outputs
Power-efficient 70W design (slot-powered)
Compact dual-slot form factor for small workstations
(Specifications based on official manufacturer documentation.)
CAD & Engineering Design
AI Inference & Edge AI Applications
3D Modeling & Visualization
Architecture & Product Design
Video Editing & Content Creation
Scientific & Data Visualization
Multi-application professional workflows
The PNY NVIDIA RTX PRO™ 2000 Blackwell is a compact, power-efficient professional workstation graphics card designed to accelerate modern AI workflows, 3D design, CAD applications, and advanced visualization tasks. Built on NVIDIA’s latest Blackwell architecture, this GPU delivers next-generation performance and efficiency in a small form factor suitable for professional desktops and space-constrained workstations.
Equipped with 16GB of ultra-fast GDDR7 memory with ECC, the RTX PRO 2000 enables smooth handling of complex multi-application workflows, AI-augmented tools, and high-resolution visual workloads while ensuring data accuracy and reliability required in professional environments.
Powered by 4,352 CUDA cores, advanced 5th-generation Tensor Cores, and 4th-generation RT Cores, the GPU accelerates real-time ray tracing, AI inference, rendering, and compute-intensive applications used by engineers, designers, and creators.
With a highly efficient 70W power consumption, PCIe 5.0 connectivity, and a compact dual-slot design, the RTX PRO 2000 Blackwell delivers enterprise-class performance without requiring high power or large workstation chassis, making it ideal for modern professional deployments.
Supporting up to four displays via DisplayPort 2.1 outputs and optimized professional drivers, this GPU ensures stability, scalability, and enhanced productivity across AI development, content creation, and engineering workflows.