Nvidia RTX PRO 5500 Brings 84GB of Blackwell VRAM to AI Workstations

As of September 15, 2026, the RTX PRO 5500 Blackwell Workstation Edition is Nvidia’s newly detailed professional desktop GPU sitting in the space between the RTX PRO 5000 Blackwell and RTX PRO 6000 Blackwell families. The headline feature is not a flashy gaming metric, but a very workstation-friendly 84GB of GDDR7 memory with ECC. Nvidia’s own product page describes the card as a Blackwell-based professional GPU for agentic AI, generative AI, physical simulation, graphics, scientific computing, data analytics, and video workflows, while also marking availability as “Coming Soon”. (nvidia.com)

Nvidia’s listed specifications make the RTX PRO 5500 a serious high-end workstation part:

• GPU architecture: Nvidia Blackwell
• Tensor Cores: 5th generation
• Ray Tracing Cores: 4th generation
• Memory: 84GB GDDR7 with ECC
• Memory bandwidth: 1,398GB/s
• Video engines: 3x 9th-generation NVENC and 3x 6th-generation NVDEC
• Display outputs: up to 4x DisplayPort 2.1b
• Bus: PCIe Gen 5 x16
• Max power: up to 600W
• Thermal: active air-cooled, with a liquid-cooled RXM option noted by Nvidia

The RTX PRO 5500 arrives at a moment when local AI workloads are often limited less by raw compute and more by available VRAM. An 84GB pool gives workstation users more room for larger language models, longer context windows, multimodal pipelines, AI agents, computer vision workloads, and multiple applications running side by side. Nvidia specifically points to LLM inference, AI agents, generative AI, and computer vision as target uses for the card, while the ECC memory angle matters for professional users who care about reliability during long-running jobs. (nvidia.com)

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One of the more interesting professional features is Multi-Instance GPU. Nvidia says MIG can split a single RTX PRO 5500 into fully isolated instances, either one instance with up to 84GB or two instances with up to 42GB each. Each instance gets its own high-bandwidth memory, cache, compute cores, and quality-of-service guarantees. That makes the card more relevant for managed workstation racks, small AI labs, and teams that want centralized GPU resources rather than every user needing a separate high-end tower. (nvidia.com)

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Hardware reporting from September 14, 2026 describes the RTX PRO 5500 as using Nvidia’s GB202 Blackwell silicon, with 21,760 CUDA cores and a memory setup that shifts the value proposition away from the GeForce RTX 5090 and toward professional workloads. Tom’s Hardware reports that the card shares the same enabled SM count as the GeForce RTX 5090, but the pro card’s differentiator is its much larger 84GB memory capacity. Nvidia’s public product page does not list CUDA core count, so the safest view is to treat the official Nvidia specs as confirmed and third-party core-count details as current hardware reporting. (tomshardware.com)

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Nvidia’s desktop RTX PRO comparison table places the RTX PRO 5500 below the RTX PRO 6000 Blackwell models with 96GB GDDR7 ECC and above RTX PRO 5000 Blackwell options listed with 48GB or 72GB GDDR7 ECC. That makes the 5500 a middle step for users who need far more memory than mainstream creator cards, but may not need the full top-tier RTX PRO 6000 configuration. It is not positioned as a review-style performance champion; the bigger story is Nvidia continuing to segment Blackwell hardware for users who value memory capacity, professional software workflows, remote or rack-mounted workstation deployment, media engines, and AI-ready reliability features. (nvidia.com)

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