Product Code: RTX-PRO-5000-BW-48G

NVIDIA RTX PRO 5000 Blackwell 48GB GDDR7 Graphics Card

  • NVIDIA Blackwell GPU architecture
  • 12,800 CUDA cores
  • 400 Tensor Cores
  • 100 RT Cores
  • 48 GB GDDR7 memory with ECC
  • 4.4” H x 10.5”L, FHFL Dual Slot
  • Max Power Consumption: 300W
  • 4 x Display port 2.1
  • 2 x MIG (Multi-Instance GPU)
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Description

NVIDIA RTX PRO 5000 Blackwell Workstation Edition (48GB GDDR7)

Overview & Value Proposition

The NVIDIA RTX PRO 5000 Blackwell Workstation Edition delivers enterprise-class performance designed for advanced 3D workflows, AI development, and high-density computing. Built on the NVIDIA Blackwell architecture, it pairs massive CUDA core compute with 48GB of high-speed GDDR7 VRAM, giving engineering, design, and data science teams the memory capacity and raw throughput needed to handle heavy professional workloads without relying on cloud infrastructure.

 

Key Features & Business Benefits

  • 48GB GDDR7 VRAM with ECC: Generous memory capacity paired with Error-Correcting Code protection allows professionals to load large CAD assemblies, complex 3D scenes, and moderate AI models locally while maintaining data integrity.

  • 5th-Gen Tensor Cores with FP4 Support: Accelerates generative AI workflows, deep learning model fine-tuning, and local inference tasks with high compute efficiency.

  • 4th-Gen RT Cores & Neural Rendering: Significantly boosts real-time ray tracing, complex lighting calculations, and physics simulations for photorealistic visualization and media production pipelines.

  • Multi-Instance GPU (MIG) Virtualization: Allows IT teams to partition the physical GPU into isolated virtual instances, enabling efficient resource sharing across multi-tenant workplace environments.

  • PCI Express 5.0 & DisplayPort 2.1: High-bandwidth host interface doubles data transfer rates between CPU and GPU, supporting high-resolution multi-display setups up to 8K and 16K.

  • Enterprise Stability & ISV Certifications: Extensively certified across major independent software vendor applications (Autodesk, Ansys, Adobe, Siemens) with dedicated enterprise drivers to ensure reliable performance.

 

Primary Use Cases

  • Local AI Fine-Tuning & Inference: Fine-tuning medium-scale AI models, executing real-time local inference, and developing domain-specific AI tools on workstation hardware.

  • High-End 3D Visualization & Virtual Production: Real-time ray tracing, complex VFX rendering, digital twin walk-throughs, and 8K video editing pipelines.

  • Computer-Aided Engineering (CAE) & CAD: Processing complex computational fluid dynamics (CFD), finite element analysis (FEA), and high-density 3D modeling without memory constraints.

  • Architectural & Spatial Design (AEC): Rendering interactive BIM models, photorealistic architectural visualizations, and real-time VR/AR environments.

 

Frequently Asked Questions (FAQ)

Q: How does the 48GB VRAM capacity benefit professional workflows compared to standard GPUs?
A: The 48GB GDDR7 memory buffer allows professionals to keep large datasets, high-resolution textures, and AI models directly in GPU memory, avoiding performance slowdowns associated with transferring data from system RAM.

Q: Can the RTX PRO 5000 be used in multi-user or virtualized setups?
A: Yes. With Multi-Instance GPU (MIG) technology, the physical card can be split into hardware-isolated instances with dedicated compute and memory, making it ideal for shared laboratory or enterprise virtual desktop environments.

Q: What is the primary difference between the RTX PRO series and GeForce consumer GPUs?
A: While both rely on NVIDIA GPU architecture, the RTX PRO series is built specifically for enterprise reliability—featuring ECC memory protection, ISV software certifications, MIG virtualization capabilities, and enterprise-grade driver support.

Q: What power supply unit (PSU) is recommended for this card?
A: A high-efficiency workstation power supply rated at 750W or higher with native PCIe power connectors is recommended for single-card setups, with requirements scaling up for multi-GPU configurations.

Description