Nvidia Releases RTX PRO 5500 Blackwell GPU with 84GB VRAM
Nvidia has released the RTX PRO 5500 graphics processing unit based on the Blackwell architecture, featuring 84GB of high-capacity VRAM. The GPU is designed specifically to handle demanding artificial intelligence and enterprise workstation workloads. An 84GB memory footprint enables researchers and developers to run significantly larger language models locally on a single workstation GPU. This lowers the hardware barrier for high-capacity AI inference and model fine-tuning without needing costly multi-GPU cluster setups. Leveraging Nvidia's Blackwell microarchitecture, the RTX PRO 5500 integrates optimized Tensor Cores alongside 84GB of video memory. It targets professional creator, data science, and local LLM execution scenarios where memory capacity is the primary constraint.
## BACKGROUND
Nvidia's Blackwell architecture succeeds the Hopper and Ada Lovelace microarchitectures, purpose-built to accelerate compute-heavy AI workloads. When running Large Language Models (LLMs) locally, VRAM capacity is a critical factor, as model weights must fit directly into GPU memory for efficient execution.