Nvidia’s RTX Pro 5500 Blackwell Workstation Edition is an 84GB GPU designed for rack-mounted professional workstations. Rather than targeting conventional desktop gaming, it is intended for organizations that centralize GPU capacity and share it across teams working with demanding workloads.

The card sits between Nvidia’s 72GB RTX Pro 5000 configuration and the 96GB RTX Pro 6000 in memory capacity. Its 84GB of GDDR7 ECC memory is built to support workloads that can exceed the limits of a standard PC, including AI models, robotics simulations, rendering, engineering, and scientific datasets.

84GB GDDR7 ECC Memory for AI and Professional Workloads

The RTX Pro 5500 includes 84GB of GDDR7 ECC memory. That capacity can hold larger AI models, support longer context windows, or run multiple models at the same time without repeatedly moving data elsewhere.

This makes the GPU suitable for local LLM inference, AI agents, computer vision, and multimodal generative AI. The same memory capacity can also be used for large 3D scenes and datasets involved in engineering or scientific work.

Nvidia Blackwell Architecture and RTX Pro 5500 Specifications

The RTX Pro 5500 is based on Nvidia’s Blackwell architecture. Its listed hardware includes:

  • 21,760 CUDA cores
  • Fifth-generation Tensor Cores
  • Fourth-generation RT Cores
  • 84GB of GDDR7 ECC memory
  • 1,398GB/s memory bandwidth
  • PCIe 5.0 x16 connectivity
  • Support for up to four DisplayPort 2.1b outputs
  • Maximum power consumption of up to 600 watts

Nvidia offers both air-cooled and liquid-cooled versions. These configurations reinforce the card’s role in managed workstation racks rather than in a typical PC located at an individual desk.

Multi-Instance GPU Splits One Card Into Two Isolated Instances

A defining feature of the RTX Pro 5500 is Multi-Instance GPU, also called MIG. The card can run as a single 84GB GPU or be divided into two separate 42GB instances.

Each instance receives its own memory, cache, and compute resources. This allows two users or workloads to share one physical accelerator while maintaining predictable performance. For organizations distributing GPU resources across teams, the split configuration provides a way to use one RTX Pro 5500 for two isolated workloads.

Built for Centralized GPU Resources

The RTX Pro 5500 is aimed at companies that need to place GPU resources in a central location and make them available to multiple teams. Its large memory capacity and MIG support are suited to environments where AI, rendering, simulation, and data-heavy work need more than a conventional workstation can provide.

Instead of being positioned as a gaming-oriented graphics card, the RTX Pro 5500 is designed to supply workstation-class GPU capacity from a rack-based setup.

Availability and Pricing

Nvidia lists the RTX Pro 5500 Blackwell Workstation Edition as “coming soon.” Pricing has not been announced.