NVIDIA quietly introduced the RTX PRO 5500 Blackwell workstation GPU, a high-end addition to its professional graphics lineup. The card, based on the GB202 architecture, features 21,760 CUDA cores—matching the consumer GeForce RTX 5090—and 84GB of GDDR7 memory with error-correcting code (ECC). This places it directly below the flagship RTX PRO 6000 in NVIDIA’s workstation stack, though its 84GB VRAM and 600W power rating align it more closely with the higher-tier model than the RTX PRO 5000.
NVIDIA Quietly Introduces the RTX PRO 5500 Blackwell Workstation GPU
The GPU initially surfaced on NVIDIA’s regional websites, including Taiwan, before its product pages became global. As of the latest updates, the RTX PRO 5500 is listed on NVIDIA’s U.S., UK, India, and Japan websites, alongside PNY Technologies’ U.S. product page. NVIDIA’s official product page describes the specifications as preliminary and subject to change,
while PNY provides more detailed technical data. The card is marked as “Coming Soon” on NVIDIA’s U.S. site, with no official release date provided.
Inside the GB202 Architecture and Memory Configuration
The RTX PRO 5500 is based on a cut-down GB202 GPU, featuring 170 Streaming Multiprocessors (SMs) across 21,760 CUDA cores. This represents 88% of the full chip’s 192 SMs. The GPU measures 750 mm² and contains 92.2 billion transistors, as noted in sources.
Its memory configuration remains a point of debate. PNY’s specifications list a 416-bit bus interface, requiring 28 24Gb GDDR7 modules to achieve 84GB. However, alternative analyses suggest a 448-bit bus with 28 32Gb modules could be more plausible, given the 1,398GB/s bandwidth cited by NVIDIA. The card’s 84GB GDDR7 is connected via a 416-bit or 448-bit memory bus, depending on the configuration, and includes 14 GDDR7 modules on the front and 14 on the back of the PCB.
Targeting AI Inference, Simulation, and Multi-Instance Deployments
The RTX PRO 5500 is designed for rack-mounted workstation deployment, available in both air-cooled and liquid-cooled variants. It connects via a PCIe 5.0 x16 interface and includes four DisplayPort 2.1b outputs, according to sources. NVIDIA emphasizes its suitability for large language model inference, AI agents, and complex agentic workflows, leveraging the 84GB memory to handle larger models and longer context windows.
The card supports Multi-Instance GPU (MIG) technology, allowing it to split into two 42GB instances or operate as a single 84GB unit, ideal for AI and simulation workloads.
Enterprise-Grade Technical Specifications and TDP
Technical specifications highlight the GPU’s enterprise focus. It includes fifth-generation Tensor Cores and fourth-generation RT Cores, with NVIDIA claiming up to 3x performance gains over previous generations for AI workloads. The card also features three ninth-generation NVENC encoders and three sixth-generation NVDEC decoders, enhancing video processing capabilities. Its 600W TDP matches the RTX PRO 6000, underscoring its role in high-performance computing environments.
NVIDIA positions the RTX PRO 5500 for centralized GPU resource management, enabling teams to share and scale workstation power. The card is marketed as a solution for organizations seeking to reduce costs by avoiding individual high-end workstations. Use cases include AI model development, robotics simulations, professional rendering, and physical simulations. The GPU’s 84GB memory capacity and 600W power envelope place it closer to the RTX PRO 6000 (96GB) than the RTX PRO 5000 (72GB), despite its placement in the lineup.
Rollout Strategy and Enterprise Distribution Channels
The RTX PRO 5500’s availability remains uncertain, with NVIDIA’s product pages describing it as “Coming Soon.” PNY’s listing also lacks a firm timeline, though it notes the card’s inclusion in the company’s U.S. product lineup. The GPU’s enterprise focus suggests it will be distributed through managed channels rather than retail stores, targeting data centers and professional workstations.
NVIDIA’s product page highlights the card under the tagline Powering the next era of AI,
inviting users to sign up for notifications. The company emphasizes its role in accelerating agentic AI, physical simulation, and graphics workloads for teams requiring workstation power at scale. The RTX PRO 5500 is part of the broader Blackwell PRO family, which includes the RTX PRO 5000 and 6000, with the 5500 filling the specifications gap between the two.
The card’s 21,760 CUDA cores match the consumer GeForce RTX 5090, but it is certified for professional workloads. This distinction, along with its 84GB memory, sets it apart from consumer-grade GPUs. However, the absence of a formal press release or announcement highlights NVIDIA’s strategy of gradual, targeted rollout.
The RTX PRO 5500’s technical details underscore its alignment with enterprise-grade computing. Its 84GB GDDR7 memory, 600W TDP, and MIG support position it as a mid-tier option for organizations seeking performance without the premium price tag of the flagship model. While no official pricing has been disclosed, the card’s specifications and enterprise focus suggest it will cater to specialized professional markets.
NVIDIA’s Blackwell PRO lineup continues to expand, with the RTX PRO 5500 reflecting the company’s emphasis on scalability, reliability, and high-performance computing. The GPU’s release follows a pattern of incremental updates, with each model addressing specific market needs. As the card moves closer to availability, its impact on AI and simulation workloads remains a key area of interest for professionals and researchers.