Nvidia launches RTX Pro 5500 workstation GPU with 84GB memory for AI workloads
Nvidia has introduced the RTX Pro 5500 Blackwell Workstation Edition, based on the same GB202 die as the GeForce RTX 5090 but with 84GB of GDDR7 memory, 2.6 times the VRAM of the gaming flagship. The card offers comparable compute performance with 21,760 CUDA cores and is aimed at agentic and generative AI applications. It sits between the RTX Pro 5000 and RTX Pro 6000 in memory capacity.
The RTX Pro 5500 shares the GB202 die with the consumer RTX 5090, enabling 170 streaming multiprocessors and 21,760 CUDA cores, but pairs them with 84GB of GDDR7 memory arranged in a clamshell layout across 28 modules. This configuration uses a 448-bit bus at 25 Gb/s, yielding roughly 1,400 GB/s of bandwidth. The card's 600-watt power target matches higher-tier professional models, while its memory capacity positions it between the 72GB RTX Pro 5000 and the 96GB RTX Pro 6000. Notably, this marks only the second 84GB card from Nvidia, following the China-exclusive RTX Pro 6000D, and the memory speed is deliberately downclocked from the standard 28 Gb/s packages available from memory makers.
This launch could reshape how professionals and researchers approach AI workloads, offering workstation-class memory capacity at a price point below flagship enterprise cards. Small studios, university labs, and independent developers may gain access to capabilities previously reserved for large organizations, potentially accelerating experimentation with large language models and generative systems. However, the 600-watt power draw and professional pricing could limit adoption to well-funded settings, and the deliberate downclocking suggests Nvidia is carefully segmenting its market to protect higher-margin products, which may slow the democratization of advanced AI hardware.